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Hussain0327/README.md

Raja Hussain

CS & Econ @ NYU. I build grounded, auditable AI systems: retrieval and LLM tooling that cites its sources, refuses when it can't, and gates on evals.

The thread across my work is evidence over guesswork. Answers trace to a source or never get made, extraction ties every claim to where it came from, and LLM behavior is tested in CI like any other code.

Website · LinkedIn · ValtricAI · rajahh7865@gmail.com

Projects

REGWATCH: Grounded Regulatory Intelligence

A RAG system that turns a multi-day FDA research task into cited answers in minutes. Built during my 2026 internship for a generic-drug Clinical Regulatory Affairs team. Private repo. Read the case study

  • Citation-or-refuse by design: every answer carries a source and page or an explicit "not found," enforced as tested invariants, not prompt guidelines
  • Synthesizes six FDA sources (Orange Book, Drugs@FDA, DailyMed, Shortages, REMS, Product-Specific Guidances), resolving the product before retrieval so a citation can never cross drugs
  • Graded in CI against a gold set with hard gates on recall@k, citation precision, and refusal accuracy before any merge
  • Python, FastAPI, ChromaDB/pgvector, SQLModel, Dagster, Next.js/TypeScript

CloudSearch: Hybrid Search Backend

A low-latency Go service that fuses vector and keyword retrieval with SSE streaming. Repo

  • Hybrid retrieval (pgvector cosine + tsvector) fused via Reciprocal Rank Fusion, hitting 100% recall@5 on a 24-query suite
  • Go API on Chi with goroutine fan-out, a two-level LRU cache, and per-IP rate limiting for concurrent queries
  • Python ingestion with BFS crawling, type-aware chunking, BGE-large embeddings, and SHA-256 dedup on upsert
  • Go, Python, PostgreSQL, pgvector, Ollama, Docker

Atlas Intel: SEC EDGAR Data Platform

An async ingestion pipeline and REST API serving normalized XBRL data for 13K+ public companies. Repo

  • End-to-end async ingestion of 10-K and 10-Q filings: fetch, parse, store, serve
  • EAV data model with FastAPI endpoints for cross-company screening across 50+ financial metrics
  • Python, FastAPI, PostgreSQL, async SQLAlchemy, Docker

Inversion Thesis Engine: Document Intelligence Backend

A FastAPI service that ingests deal documents and surfaces auditable diligence risks. Repo

  • Rule-based contradiction detection that links every flag back to source text via auditable evidence chains
  • Claude API structured extraction from CIMs and financial statements over a Postgres deal and document model
  • Deterministic EBITDA bridge calculator with base, downside, and partial-adoption scenarios
  • Python, FastAPI, PostgreSQL, Claude API, PyMuPDF

EvidentAI: Open-Source LLM Eval and Security CLI

A CI/CD-friendly evaluation suite and runtime gateway for LLM applications (co-authored). Repo · npm

  • Six built-in evaluators including LLM-judge, PII detection, and prompt-injection checks, with 211 passing tests
  • A CLI that runs eval suites inside CI/CD, plus a gateway proxy for runtime protection
  • TypeScript, Node.js, Python

Skills

Area Tools
Languages Python, Go, SQL, TypeScript
Backend FastAPI, Chi, asyncpg, SQLAlchemy, Alembic, REST, SSE
Data PostgreSQL, pgvector, ETL and ingestion pipelines, vector search
AI/ML RAG, embeddings (sentence-transformers / BGE), LLM evaluation, Ollama
Infra Docker, GitHub Actions, CI/CD

Pinned Loading

  1. ValtricAI/EvidentAI ValtricAI/EvidentAI Public

    TypeScript

  2. chainsaw-man-timer chainsaw-man-timer Public

    Chainsaw Man Focus Timer

    JavaScript

  3. cloudsearch cloudsearch Public

    Python

  4. freight-settlement-infrastructure freight-settlement-infrastructure Public

    Inversion Labs 2026 Summer Research Internship

    Jupyter Notebook

  5. inversion-research inversion-research Public

    Python

  6. on-chain-research-pipeline on-chain-research-pipeline Public

    Python