Agustin Diaz-Cano@agustin_diazcano6

Github: https://github.com/agustindiazcano/qwind-qaoa-windfarm Demo video: youtu.be/UGVkgYGXkF4

Live: https://argentina2056.vercel.app/ Github: https://github.com/agustindiazcano/arg-2056-udesa Macroeconomic data visualization platform and 3D geospatial viewer of the 1817 Andes crossing.

This project provides two pipelines built for the AMD AI League Challenges, running the Qwen2-VL-2B model on the ROCm ecosystem. The first is an OCR module designed to extract text from difficult images, such as angled license plates, blurry photos, and low-light street signs. The second is an Enterprise RAG engine that uses a local client-server setup and SQLite FTS5 to search through mixed-format corporate documents. It returns specific answers and exact file citations based only on the provided corpus. To ensure stability and stay within the 48 GB VRAM and 30-second time limits, both pipelines use static tensor shape pre-allocation. This prevents dynamic memory fragmentation and keeps resource consumption predictable throughout the evaluation.

TestMind AI is a test-quality tool that proves, with measured data rather than estimates, whether a python repository's test suite would actually catch a real bug and then uses AI to write the tests that are missing. Coverage only tells you which lines ran; it says nothing about whether your tests would notice a defect. TestMind AI injects small bugs into the code on purpose (flipped comparisons, swapped operators, changed constants, removed exceptions) using its own AST based mutation engine, no mutmut or stryker, then reruns the suite and reports how many of those injected bugs survive undetected. Beyond mutation testing, the deterministic engine also measures line coverage, ranks files by risk, discovers FastAPI endpoints with no test coverage and smoke-tests them, and runs Playwright-based visual regression with pixel diffing and basic accessibility checks. Every number in its dashboard comes from an actual measurement , nothing is estimated, rounded, or extrapolated by a model. On top of that measurement layer sits an AI fix loop: two agents running in sequence, a test writer and a critic, powered by either IBM watsonx.ai or Google Vertex AI (switchable per call). They write new tests aimed at the surviving mutants through a single tool that is hard-guarded to only write inside tests it can never modify source code. A suite of integrity guardrails, verified in CI, specifically neutralizes ways an AI could game its own score: reading secrets out of the environment, writing assertion-free tests, or artificially inflating the mutation score. A parallel, one-lane-per-file agent swarm is being built as a faster alternative to the sequential loop, but is not yet wired into the default path. The whole engine is exposed through a CLI, a web dashboard, and an MCP server, so any MCP-capable AI agent can drive the same measurements directly

Six Matches. One leaderboard. Build on AMD, earn points and compete for prizes.

🌎 Hybrid Hackathon | 💻 Online Build: 3–8 November 2026 | On-site Phase: 8 November 2026 📍 On-site Venue: Pierpont Place 163 W Pierpont Ave, Salt Lake City, UT 84101, USA ✨ Please note that travel and accommodation are not covered.

🌎 Hybrid Hackathon | 💻 Online Build: October 16–19, 2026 | 📍 On-site: October 19–20, 2026 The official hackathon of AI & Big Data Expo Europe, organized by TechEx Events and lablab.ai. Build AI applications and agents across AI, cybersecurity, cloud, IoT, automation, edge computing, digital transformation, and data infrastructure, then showcase your project live at one of Europe's largest enterprise technology events. 📍 On-site Venue (October 19–20): RAI Amsterdam Europaplein 24, 1078 GZ Amsterdam, Netherlands 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.