Jose Miguell Barron@amJae

AI research copilot built solo with IBM Bob IDE. Transforms any query into a literature review, citation graph, timeline, and LaTeX proposal in under 60 seconds. 12 Bob sessions, 96 tests, 90%+ coverage.

ChorusOps turns Discord voice calls into structured investment data. Speechmatics transcribes live pitches, Gemini 2.5 Flash tracks deal state, and a Featherless worker scores each startup automatically — no manual notes, no delays.

ChorusOps is a voice-native dealflow orchestrator built for investors and enterprise teams who run deal discussions inside Discord voice channels. Instead of taking manual notes or switching to a CRM mid-call, ChorusOps listens, understands, and acts autonomously. The system captures Discord voice audio (Opus stereo 48kHz), downmixes it to mono, and streams it in real-time to Speechmatics' WebSocket API for highly accurate transcription with multi-speaker diarization — attributing every spoken sentence to the correct speaker automatically. Transcripts are routed to Gemini 2.5 Flash, which acts as a multi-step planning orchestrator. Using function calling, Gemini maintains a persistent deal state (deal name, stage, team notes, market context, funding ask) across the entire conversation via structured tool calls. When sufficient context is gathered, Gemini autonomously dispatches a DEEP_ANALYSIS job to a Featherless serverless inference worker running an open-source LLM. This worker produces a scored investment scorecard — including investment score, recommendation, strengths, and risks — which is automatically posted back to the Discord text channel and spoken aloud via Kokoro TTS. The bot supports barge-in interruption: if a user starts speaking while the bot is talking, TTS stops instantly. Multi-guild isolation ensures the system runs across multiple Discord servers simultaneously. Slash commands (/join, /say, /status, /tts, /voice) provide a full text fallback interface. ChorusOps targets the Agentic Workflows track: the agent plans its own steps, calls external tools, manages async multi-step tasks over time, and posts results without any human intervention — from first spoken word to final scored deal. Tech stack: Discord.js, Speechmatics RT API, Gemini 2.5 Flash, Featherless LLM inference, Kokoro TTS, Express, TypeScript.

Bob the SAGE (Systematic Academic Guidance Engine) is an AI‑assisted research copilot that helps developers and researchers turn messy academic queries into structured insight. Given a topic like “CRISPR gene therapy”, it fetches real papers, builds a citation graph with PageRank to surface key work, constructs a timeline to highlight paradigm shifts, and then summarizes everything as a literature review and draft research proposal. Under the hood, SAGE is a full web app with a FastAPI backend and modern frontend. The citation graph and timeline engines have been hardened to handle noisy data, disconnected components, and edge cases, and the backend is covered by dozens of tests with 80%+ coverage. We used IBM Bob throughout the lifecycle: to review and improve the core algorithms, define five reusable Bob Skills (extraction, synthesis, graph analysis, translation, proposal), generate tests, produce a 600+ line security audit, and write architecture and API documentation. The app shows a clear pipeline from query to results and exposes controls for year range, language, and max papers, with sensible defaults and ethical API usage: no keys in the repo, pluggable data sources, and explicit respect for provider terms. For judges, Bob the SAGE is both a working demo you can run locally and a concrete example of how IBM Bob can accelerate building production‑style developer tools for research and education.

We built an end-to-end AI stock signal pipeline that turns live market data and news headlines into explainable trade signals — fully accelerated on AMD Instinct MI300X via ROCm + PyTorch. The system runs three cooperating agents in an agentic workflow: 1. Signal Agent — pulls live OHLCV and headlines via yfinance, computes rolling-volatility regimes (LOW/MED/HIGH), and runs batched market inference on GPU. 2. Sentiment Agent — a fine-tuned DistilBERT classifier from Hugging Face Hub (POS/NEU/NEG with signed scores) running batched ROCm inference for thousands of headlines per second. 3. Reasoning Agent — Qwen3-8B generates a natural-language explanation for each BUY / SELL / HOLD decision, with entry, stop-loss, and target levels. A simulated execution engine then runs an OPEN-to-CLOSED trade lifecycle with slippage and P&L, surfacing win-rate, average return, and a cumulative P&L curve. The Streamlit dashboard exposes a live GPU diagnostics banner, KPI tiles, signal table, sector heatmap, sentiment analytics, and CPU-vs-GPU throughput charts. Verified on AMD Developer Cloud (ROCm 6.2 + PyTorch 2.5.1+rocm6.2): 17.0x speedup on 100-batch market pipeline, 208.0x on 1000-batch market pipeline, 14.49x on sentiment batch — all from the exact same code path that runs on CPU. AMD-first, IP-safe, judge-friendly, and built to scale to multi-GPU MI300X clusters.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 💰 $10,000 total prize pool Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: 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. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.