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Alpha-W0lf/README.md

Hi, I'm Tom Chacko

Ex-Meta Senior AI Engineer — AI-native software engineering for production systems: backends, platforms, and applied AI (multimodal RAG, multi-agent systems, LLMOps, evals).

Austin, TX · Remote US · LinkedIn for roles and conversations.

Project and C2C engagements via Lowd Code LLC — Texas S-Corp, fully insured.

What I care about

Standards first — evals, contracts, architecture — then velocity. 10,000+ hours with AI-native software engineering and coding agents as a force multiplier for senior standards, not a substitute.

Featured projects

Mechanic RAG — Cited answers from service docs: hybrid RAG → RRF → cross-encoder (synthetic fixtures for the public clone).

AlphaGuard — Multi-agent financial research: news → RAG → BUY/HOLD/PASS → downside-risk gate → local LLMOps summary.

AI Knowledge Base (public) — Keep coding agents current: hybrid RAG + MCP (fixtures-only public demo).

Eyeglass Finder — Needle-in-a-haystack CV/MLOps (~17× throughput; Docker/GPU; observability).
Live qualitative results

Stack (selected)

Python · FastAPI · Go · RAG · LLMs · LangGraph · MCP · multi-agent systems · LLMOps / MLOps · AI evals · vector search · Spark · Kafka · Flink · AWS / GCP · Docker · Kubernetes

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  1. Alpha-W0lf Alpha-W0lf Public

    Profile README — Ex-Meta Senior AI Engineer · production GenAI & AI-native software

  2. mechanic_rag mechanic_rag Public

    Cited answers from automotive service docs — hybrid RAG (vector + lexical → RRF → CE). Synthetic fixtures for the public clone.

    Python 1

  3. alphaguard alphaguard Public

    Multi-agent financial research: news → RAG → BUY/HOLD/PASS → downside-risk gate → local LLMOps summary

    Python

  4. ai-knowledge-base-public ai-knowledge-base-public Public

    Keep coding agents current: hybrid RAG + MCP over curated sources (fixtures-only public demo)

    Python

  5. eyeglass_finder eyeglass_finder Public

    Finding needles in a privacy-scrubbed haystack: high-throughput CV/MLOps for rare faces with eyeglasses (~17× throughput)

    Python