# Docker Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/docker?page=5
> Markdown URL: https://aitinkerers.org/technologies/docker.md?page=5
> Technology record last updated: 2026-09-18T15:14:00Z
> Generated: 2026-09-21T18:35:47Z

Docker is the open-source platform that packages applications and dependencies into standardized, portable containers for consistent execution across any environment.

Docker is the industry-standard containerization platform, enabling developers to build, ship, and run applications efficiently. It uses the Docker Engine (the core runtime) to create lightweight, isolated environments called containers: these units bundle an application’s code, libraries, and configuration. This self-contained approach guarantees consistency, eliminating the 'it works on my machine' problem across development, testing, and production environments (local workstations, cloud, or on-premises). Docker debuted in 2013 and now serves over 20 million developers monthly, simplifying complex workflows like CI/CD and microservices architecture by leveraging tools like Docker Hub for image sharing and Docker Compose for multi-container applications.

- Official technology site: https://www.docker.com
- Public AI Tinkerers demos and talks: 147
- Result page: 5 of 7

## Recent Public Talks and Demos

### [Making easy to the final user](https://saopaulo.aitinkerers.org/talks/rsvp_ao0j35L42iU)

Attia is a platform that provides virtual AI assistants for small businesses in the fields of medical and dental offices, aesthetic clinics, and independent professionals such as nutritionists and physiotherapists. The agents handle customer service via WhatsApp, answering questions about the business, its products/services, and scheduling appointments or procedures.

- Event context: AI Tinkerers São Paulo - Junho 2025 — 2025-06-26 — São Paulo
- Public talk page: https://saopaulo.aitinkerers.org/talks/rsvp_ao0j35L42iU

### [Put your idle devices to work and become your own AI cloud](https://liverpool.aitinkerers.org/talks/rsvp_FBkKgRje2gE)

I am the founder of Kalavai, a tool that turns any device into a scalable platform for GenAI. It helps developers aggregate compute from any source (cloud, on prem, laptops) in a unified layer, and manages one-click distributed deployment of AI models. What I'd love to present is our new LLM queuing system, which is an asynchronous batch processing queue that helps developers optimise their workloads at scale, much faster and cost effective than real time inference. Behind the scenes, the queue handles batch requests, whilst workers (any computer) pick inference jobs and run them locally. Workers do just-in-time model deployment, which means there is no model idle time (costly!). And because inference jobs are batched, we can optimise model throughput by configuring batch size. During the presentation, I plan to show how easy it is to run a batch evaluation of multiple models on a test dataset on my computer. This will demonstrate: 1) the power of personal computing devices 2) how queuing maximises hardware utilisation 3) how easy it is to auto deploy models

- Event context: AI Tinkerers - Liverpool Inaugural Meetup (June) — 2025-06-26 — Liverpool
- Public talk page: https://liverpool.aitinkerers.org/talks/rsvp_FBkKgRje2gE

### [PentestIA: Automatizando Pruebas de Penetración con IA y MCP](https://manizales.aitinkerers.org/talks/rsvp_jVaW-NIuQUQ)

PentestIA, un sistema innovador que combina inteligencia artificial con el protocolo MCP (Model Context Protocol) para automatizar pruebas de penetración web. El sistema utiliza un motor de decisiones basado en Llama 3.2 que analiza endpoints automáticamente y coordina múltiples herramientas especializadas (XSS, SQLi, reconnaissance) para realizar evaluaciones de seguridad completas.

- Event context: 🚀 ¡Quinto Encuentro de AI Tinkerers Manizales! 🤖 — 2025-06-25 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_jVaW-NIuQUQ

### [Two Dice One Shake (QED): A 100 % Quantum-Safe Dual-KEM Protocol for Sub-5 ms Data Transfer](https://singapore.aitinkerers.org/talks/rsvp_52iUZMKf_DI)

Classical TLS will be broken the day practical quantum computers arrive. That threatens not just log-ins and banking but AI inference streams—the gRPC/HTTP pipes that move embeddings, model weights, or user prompts across GPU clusters. “Two Dice One Shake” (TDOS) is a drop-in, production-ready fix: a dual-KEM handshake that fuses Kyber-1024 key exchange with Dilithium-3 signatures to deliver 100 % quantum-safe encryption over plain HTTP/1.1—no TLS termination, no service-mesh surgery. In this live demo I’ll peel TDOS apart from the ground up: 1. Protocol Design – why rolling two independent KEMs (“the dice”) removes any single quantum-break point. 2. Implementation – Rust + OpenQuantumSafe bindings, compile-time guards that reject anything but NIST-exact key sizes, zero simulation fallbacks. 3. Performance – dual handshake in ≈ 4 ms, encrypted inference frames in < 1 ms; how async/await + zero-copy buffers keep your transformer payloads at line rate. 4. Verification Pipeline – a 10-stage CI suite that mathematically proves real PQC, hammers 100 + consecutive ops, and auto-fails on weak-crypto fall-backs. 5. AI-First Integration Paths – Axum/Tower middle-wares for Rust inference servers, Warp filters for fine-grained route control, plus Docker/K8s manifests so you can wrap a running model without touching your load-balancer. We’ll finish by routing a live embedding stream through TDOS, Wireshark-sniffing 1568-byte Kyber packets, and showing how to bolt the state machine onto an ONNX-runtime micro-service in < 20 LOC. Attendees leave with a reproducibility script, a working Axum demo, and a mental model for shipping quantum-safe AI APIs today, not “when NIST finalises.”

- Event context: AI Tinkerers Singapore: 8th Meetup - Antler x Sambanova - June 20th, 2025 — 2025-06-20 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_52iUZMKf_DI

### [Implementing an mcp server for aws](https://sf.aitinkerers.org/talks/rsvp_iBPAswwjGGA)

Aws exposes thousands of api calls which makes it challenging to expose each of those as tool calls. In this demo we will show what we built to overcome it and how the mcp tool calls are structured to successfully map to aws api

- Event context: AI Tinkerers - Advanced MCP Showcase — 2025-06-19 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_iBPAswwjGGA

### [Vibe working - Control your computer or use any app as context with MCP](https://sf.aitinkerers.org/talks/rsvp_3wxsbtyUwA0)

Use Terminator SDK to read & control your computer in MCP. Terminator is an open source computer use SDK leveraging OS-level accessibility API to provide 1000x faster, cheaper, and more reliable capabilities than current vision based computer use solutions. It's also usable in TS through vercel AI sdk (or raw) or Python + langchain or Rust.

- Event context: AI Tinkerers - Advanced MCP Showcase — 2025-06-19 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_3wxsbtyUwA0

### [Rapid MCP - A Security First MCP Proxy Server](https://sf.aitinkerers.org/talks/rsvp_BBddpDQOFDM)

RapidMCP is designed to be a security first MCP proxy server. It allows users to collect and connect MCP servers of all kinds under one URL for use with any MCP client. RapidMCP gives users additional security screening and recommendations per server, including code scanning and dependency audits. Tools can be selectively turned on or off for greater control over what is being exposed to your LLM. The proxy also gives users additional schema constraints that can be applied to the schemas sent by the upstream MCP servers, providing a way to layer additional security when using Tools. RapidMCP also provides a monitoring area, where Tools (and in the future resources/prompts) can be audited for usage and content. Input and Output guardrails are also available as first and last lines of defense against prompt injection or other types of harmful content.

- Event context: AI Tinkerers - Advanced MCP Showcase — 2025-06-19 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_BBddpDQOFDM

### [MeetingBot Demo](https://toronto.aitinkerers.org/talks/rsvp_cGFOWKOl1BE)

In this live demo, I’ll showcase Meeting Bot, an open-source API and web dashboard that lets you automatically deploy and manage headless bots to join and record Zoom, Microsoft Teams, and Google Meet calls. You’ll see: - One-click deployment of our entire infrastructure (bots, backend, dashboard) using Terraform - Interactive dashboard (Next.js/React) for provisioning bots, setting display names, profile pictures, and webhook callbacks - How you can use this to create AI-enabled tools for your use case!

- Event context: AI Tinkerers Toronto - June 2025 Meetup at NEXT Canada -- sponsored by Intel AI! — 2025-06-18 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_cGFOWKOl1BE

### [Lessons learned: Creating consumer-facing AI applications](https://las-vegas.aitinkerers.org/talks/rsvp_KyFHd1LL-Mw)

Quick walkthrough of building Vessium—from start, to now. Initial idea of meta-orchestrators back in 2024. Why certain decisions were made for infrastructure/user-experience purposes. Things I wish I had known earlier. How I would build something like this today, given all that I've learned. I really don't want to take time away from OSS projects/demos/talks, however. Please prioritize those! I'm more here to try new things.

- Event context: AI Tinkerers Las Vegas - Science Fair! — 2025-06-13 — Las Vegas
- Public talk page: https://las-vegas.aitinkerers.org/talks/rsvp_KyFHd1LL-Mw

### [Mathematical model for poker tournament outcomes](https://las-vegas.aitinkerers.org/talks/rsvp_J_Sa4aOZMSY)

As a next step in my poker coaching app project, I’ve been putting together a complex equation that models expected winnings. This equation uses advanced probability to model expected outcome given variables like number of rebuys, tournament structure, and win rate of a specific player. The equation will help individual players craft a winning strategy by optimizing their rebuys and tournament selection.

- Event context: AI Tinkerers Las Vegas - Science Fair! — 2025-06-13 — Las Vegas
- Public talk page: https://las-vegas.aitinkerers.org/talks/rsvp_J_Sa4aOZMSY

### [Actionable IoT](https://cincinnati.aitinkerers.org/talks/rsvp_iRlhClNN-BU)

How to mange IoT with technology and AI

- Event context: 🤖 AI Tinkerers at Northern Kentucky University June 12th 5:30-8PM — 2025-06-12 — Cincinnati
- Public talk page: https://cincinnati.aitinkerers.org/talks/rsvp_iRlhClNN-BU

### [Automated Sales Assistant That's a Helpful "know-it-all"](https://nairobi.aitinkerers.org/talks/rsvp_1T3MP7AVspk)

The demo will show how this "know-it-all" sales assistant transforms casual browsers into informed buyers while reducing support costs and increasing customer satisfaction through expert-level product guidance that scales.

- Event context: AI Tinkerers - Nairobi #2 - June 2025 — 2025-06-11 — Nairobi
- Public talk page: https://nairobi.aitinkerers.org/talks/rsvp_1T3MP7AVspk

### [Automatic form filling with Realtime AI Speech 2 Speech](https://milan.aitinkerers.org/talks/rsvp_KOIYZMZdjoE)

I will present a functioning example of form filling using modern speech to speech models that will enable to automate the clerical work of taking informations from clients and compiling a form

- Event context: AI Tinkerers Milan - June 10, 2025 - Community Demos & Networking — 2025-06-10 — Milan
- Public talk page: https://milan.aitinkerers.org/talks/rsvp_KOIYZMZdjoE

### [Event concierge](https://la.aitinkerers.org/talks/rsvp_6SkN0Jw93jQ)

Read your email to pull out all of the events that you’ve been told about and makes it easy for you to plan! Coming soon is optimizing your feed based on your past event attendance.

- Event context: June 9th - LA AI Tinkerers Meetup & Demos — 2025-06-10 — Los Angeles
- Public talk page: https://la.aitinkerers.org/talks/rsvp_6SkN0Jw93jQ

### [PaperBench: Evaluating AI’s Ability to Replicate AI Research](https://rome.aitinkerers.org/talks/rsvp_-dkV1CbsEzo)

We introduce PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research. Agents must replicate 20 ICML 2024 Spotlight and Oral papers from scratch, including understanding paper contributions, developing a codebase, and successfully executing experiments. For objective evaluation, we develop rubrics that hierarchically decompose each replication task into smaller sub-tasks with clear grading criteria. In total, PaperBench contains 8,316 individually gradable tasks. Rubrics are co-developed with the author(s) of each ICML paper for accuracy and realism. To enable scalable evaluation, we also develop an LLM-based judge to automatically grade replication attempts against rubrics, and assess our judge's performance by creating a separate benchmark for judges. We evaluate several frontier models on PaperBench, finding that the best-performing tested agent, Claude 3.5 Sonnet (New) with open-source scaffolding, achieves an average replication score of 21.0%. Finally, we recruit top ML PhDs to attempt a subset of PaperBench, finding that models do not yet outperform the human baseline. We open-source our code (this https URL) to facilitate future research in understanding the AI engineering capabilities of AI agents.

- Event context: AI Tinkerers Rome – May 30, 2025 — 2025-05-30 — Rome
- Public talk page: https://rome.aitinkerers.org/talks/rsvp_-dkV1CbsEzo

### [How I Built a Legal Assistant (Without Being a Lawyer) and Lived to Tell the Tale](https://bogota.aitinkerers.org/talks/rsvp_1DcwScPEAgE)

This talk is a behind-the-scenes look at how I built a legal assistant platform that helps lawyers draft legal documents, track case progress, and get AI-powered guidance through contextual chat — without being a lawyer myself. The real challenge was not technical at first — it was understanding legal workflows. I started by becoming a legal assistant to my wife (a practicing lawyer), iterating on real use cases, and translating them into code. From a technical standpoint, the platform is powered by: - LangGraph, which we chose over other agentic frameworks due to its high-level control of input/output flow, critical in legal contexts where traceability and decision logic matter. - Gemini AI, selected for its large context window, after initially prototyping with ChatGPT agents. Legal use cases demand richer context, and Gemini proved to be more suitable for multi-agent orchestration. The architecture includes Dockerized microservices, a backend-for-frontend layer, and a case service that communicates via RabbitMQ with a graph-processing engine. This engine runs REST-based LangGraph workflows that drive our LLM-powered assistants. In the demo, I’ll show: - How a case is processed end-to-end using agents, document ingestion, and LangGraph workflows - The evolution of the stack and what technical decisions were driven by challenges like latency, model output storage, and managing LLM usage at scale - Why modularity and context-awareness were vital in legal AI — and how we solved it - What we’re building next: case-specific assistants, chat with real-time document context, RAG-enhanced flows, and even self-hosted model support for private legal deployments We’re even training a junior dev from scratch on React and building a new interface together — tinkering at every level.

- Event context: AI Tinkerers Bogotá - May 2025 — 2025-05-29 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_1DcwScPEAgE

### [Meta-Agent Testing: Evaluating LangGraph Multi-Agent Systems with Agents](https://medellin.aitinkerers.org/talks/rsvp_iZ_IXsAK2M4)

In this demo, we showcase how an agentic approach can be used to test and identify vulnerabilities in LangGraph-based agent systems. The system autonomously explores the target LangGraph structure, generates specialized tester agents, creates and executes test cases, invokes the target graph, and produces detailed reports with suggestions for improvement—demonstrating how agents can evaluate and enhance other agents.

- Event context: AI Tinkerers Medellín #13 - SoftServe - 29 de Mayo, 2025 — 2025-05-29 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_iZ_IXsAK2M4

### [A practical guide to building AI automation on WhatsApp with open-source and no-code tools.](https://pereira.aitinkerers.org/talks/rsvp_w1kZtvZH1Yc)

This talk presents a practical approach to implementing AI automation through WhatsApp from scratch, using open-source and no-code technologies such as Evolution API, n8n, Typebot, and Chatwoot. Attendees will learn how to set up a complete workflow, from integrating the WhatsApp API to building AI-powered conversational chatbots. A live demo will be included showing: 1) setting up Evolution API with Docker to connect WhatsApp, 2) orchestrating flows in n8n to process messages and connect external services, 3) designing conversational interactions in Typebot, and 4) managing conversations at scale with Chatwoot. In addition, common technical challenges such as session management in WhatsApp, workflow optimization, and integration with external AI models will be addressed. Participants will gain a clear understanding of the internals of each tool, their limitations, and how to customize them for real-world use cases, with practical examples and lessons learned from previous implementations.

- Event context: AI Tinkerers - Pereira: AI Builders Meetup #2 (May) — 2025-05-28 — Pereira
- Public talk page: https://pereira.aitinkerers.org/talks/rsvp_w1kZtvZH1Yc

### [Artifact Generation in secure sandbox with LLM](https://abu-dhabi.aitinkerers.org/talks/rsvp_bYGjfGt3DQc)

I will be presenting a project that demonstrates how to leverage large language models (LLMs) for automated artifact generation, such as SVG graphics, static web content, SPAs using Vue, within a reproducible Dockerized environment. The talk will cover the architecture, prompt engineering strategies, and the integration of LLMs to generate code and visual assets on demand.

- Event context: AI Tinkerers - Abu Dhabi Meetup #4 (May 2025) — 2025-05-22 — Abu Dhabi
- Public talk page: https://abu-dhabi.aitinkerers.org/talks/rsvp_bYGjfGt3DQc

### [AI-first Clinical Information System](https://singapore.aitinkerers.org/talks/rsvp_pem0gXbq6u0)

We are building an AI-first Unified Healthcare Information System designed to fix the core inefficiencies plaguing modern healthcare. Today’s medical institutions rely on fragmented, outdated software that traps critical information in disconnected silos. This leads to doctor burnout, lost revenue, and missed opportunities for better care. Our system solves this by unifying medical databases and modules into a seamless, all-in-one platform—the way Palantir unified battlefield intelligence for the U.S. Army, we’re doing the same for hospitals and clinics. No more system-switching or duplicated workflows—just clean, integrated operations. In addition, we’re deploying AI automation across clinical documentation (e.g., referral letters), reducing paperwork and freeing up doctors to see more patients. Trials have already shown increased satisfaction for 85% of patients, lower burnout, and up to 80% ROI for clinics. But we’re going even further: we’re preparing for AI-first clinical care, where AI drafts diagnoses and treatment plans, and doctors act as validators. This model, already live in regulatory sandboxes like Saudi Arabia (e.g., Synyi.ai), promises more accurate care and scalable efficiency.

- Event context: AI Tinkerers Singapore: May Meetup - May 21st, 2025 — 2025-05-21 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_pem0gXbq6u0

### [CrewAI - Practical Agents Walkthrough](https://seattle.aitinkerers.org/talks/rsvp_CyhXIx6AGkw)

This talk provides overview on the types of agents, practical use cases in the wild and code walk through / open source project templates that can serve as starting points. And some inspiring use cases that could be good project ideas.

- Event context: CrewAI x AI Tinkerers - Practical Agents Hackathon - Seattle — 2025-05-17 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_CyhXIx6AGkw

### [MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering](https://milan.aitinkerers.org/talks/rsvp_9FB_u4wTVvI)

We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering. To this end, we curate 75 ML engineering-related competitions from Kaggle, creating a diverse set of challenging tasks that test real-world ML engineering skills such as training models, preparing datasets, and running experiments. We establish human baselines for each competition using Kaggle's publicly available leaderboards. We use open-source agent scaffolds to evaluate several frontier language models on our benchmark, finding that the best-performing setup — OpenAI's o1-preview with AIDE scaffolding — achieves at least the level of a Kaggle bronze medal in 16.9% of competitions. In addition to our main results, we investigate various forms of resource-scaling for AI agents and the impact of contamination from pre-training. We open-source our benchmark code https://github.com/openai/mle-bench to facilitate future research in understanding the ML engineering capabilities of AI agents.

- Event context: AI Tinkerers Milan - May 8, 2025 — 2025-05-08 — Milan
- Public talk page: https://milan.aitinkerers.org/talks/rsvp_9FB_u4wTVvI

### [Helicone for LLM observability in the Wild: Post-Install Wins & Woes](https://dc.aitinkerers.org/talks/rsvp_rpU3VuQjnCk)

Helicone is "Datadog for prompts"... until it isn’t. I’ll show how we at SpecStory pipe every ChatCompletion through Helicone to trace and monitor requests/responses and cost in real time. You'll leave with a "playbook" of wins and woes and have a realistic path to start tracking yourself whether for a side project or something grander.

- Event context: Google Cloud AI Tinkerers - DC Metro Meetup (May 7th, 2025) — 2025-05-07 — DC
- Public talk page: https://dc.aitinkerers.org/talks/rsvp_rpU3VuQjnCk

### [ExaminaAI-CFA: AI-Powered CFA Exam Preparation Tool](https://hong-kong.aitinkerers.org/talks/rsvp_Rki-0IWSW9k)

ExaminaAI-CFA is an advanced, AI-driven tutoring platform developed by FireAlert Limited, designed to help candidates efficiently master the Chartered Financial Analyst (CFA) exam. Leveraging cutting-edge technologies like Retrieval-Augmented Generation (RAG) and Reasoning AI, it offers a personalized, adaptive learning experience tailored to individual needs. Key Features 1. Expert-Level Intelligence: - Analyzes decades of exam patterns, past papers, and subject-matter expertise to deliver targeted insights. - Simplifies complex CFA topics (e.g., bond valuation, portfolio management) with instant, jargon-free explanations. 2. Adaptive Learning: - Creates personalized study plans and optimizes study time with **micro-lessons** (ideal for commutes) and **voice-guided reviews** (e.g., during workouts). 3. Instant Doubt Resolution: - Provides real-time solutions to questions and breaks down answers using **Chain-of-Thought reasoning**, mimicking expert human tutors. 4. Multimodal Interaction: - Allows users to ask questions conversationally or transform dense text into interactive prompts for clearer understanding. 5. Community Support: - Connects users with peers via AI-assisted forums for collaborative problem-solving and strategy-sharing. Core Technologies - RAG (Retrieval-Augmented Generation): Integrates official syllabi and up-to-date resources to ensure accuracy, even for niche topics. - Reasoning AI: Generates multi-step hypothetical scenarios with branching logic to train users in identifying subtle exam patterns. Unique Benefits - 24/7 Accessibility: Acts as a round-the-clock mentor, adapting to your schedule. - Efficiency: Reduces study time while improving retention through AI-optimized content. - Confidence Building: Combines expert guidance, peer interaction, and interactive learning to eliminate reliance on outdated materials. ExaminaAI-CFA positions itself as a next-generation alternative to traditional textbooks and generic courses, offering candidates an "unfair advantage" to pass the CFA exam with precision and confidence.

- Event context: AI Tinkerers - Hong Kong Meetup (April) - AI in Education and the HKUST Community — 2025-04-30 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_Rki-0IWSW9k

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