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Spectraa28/README.md

Hey, I'm Sonu 👋

Backend & Applied AI Engineer

I build backend systems and infrastructure around LLM applications — reliable ingestion pipelines, RAG systems, agent observability, evaluation, and developer tooling.

Currently building

  • LexGuard — durable document ingestion and retrieval using Spring Boot, FastAPI, PostgreSQL/pgvector, RabbitMQ, transactional outbox, recovery workflows, and observability.
  • TraceLab — LLM agent observability and evaluation platform with a published Python SDK.
  • Enterprise Agentic RAG — conditional retrieval, reranking, guardrails, and evaluation with LangGraph and Qdrant.

Stack

Python · Java · FastAPI · Spring Boot · PostgreSQL · RabbitMQ · Redis · Docker · LangGraph · Qdrant · Next.js

Projects & demos: sverma.online
Email: svermaengineer@gmail.com
LinkedIn: linkedin.com/in/sonu-verma28

Pinned Loading

  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 1

  5. VaultLearn VaultLearn Public

    https://youtu.be/zEogil51rxU?si=FCw5qj8ohza4Bmd7

    Python

  6. AgenticRag AgenticRag Public

    https://youtu.be/bUCx1aXdokg?si=71HB5AtpFUyoZWbS

    TypeScript