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Spectraa28/README.md

Hey, I'm Sonu 👋

Backend engineer who wandered into ML and never came back. Started with Java + Spring Boot, now I build RAG pipelines and agentic systems — with enough LLM internals under the hood to know why things break, not just that they did.

I go deep before going wide: wrote backprop in NumPy before touching PyTorch, built BM25 from scratch before importing a library. Not because anyone asked. Because reading the docs felt like cheating.

What I do: RAG pipelines, agentic systems, backend that doesn't fall over — and enough handle on transformer internals to reason about the model, not just call its API.

Stack: Python · Java · FastAPI · Spring Boot · LangGraph · Docker · Postgres

Projects, demos, and the receipts: → sonuverma.vercel.app

📫 tannsonuverma@gmail.com · LinkedIn

"It worked on my machine" is not a personality, but it is my origin story.

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  1. TaskManager TaskManager Public

    🚧 Real-time task management system built with Spring Boot, WebSockets & RabbitMQ — building in public

    Java

  2. llm-router llm-router Public

    A high-performance, deterministic LLM cost router that optimizes traffic splits between Gemini Flash and Flash-Lite using an additive heuristic matrix. Features regex text sanitization and MLflow t…

    Python

  3. Financial-Rag Financial-Rag Public

    Production RAG API for financial document Q&A — hybrid BM25 + MiniLM retrieval, Docling ingestion, RAGAs evaluation, FastAPI + Docker. Built on Apple 10-K FY2023.

    Python

  4. LexGuard LexGuard Public

    Python

  5. VaultLearn VaultLearn Public

    Jupyter Notebook

  6. AgenticRag AgenticRag Public

    Python