Hi, I'm
Systems Analyst with a real passion for ML and AI projects. I build intelligent systems that turn complex data into actionable insights.
I'm a Systems Analyst who bridges the gap between business requirements and technical solutions. My passion lies in applying machine learning and AI to solve real-world problems — from building RAG pipelines over financial filings to designing data-intensive applications that scale.
I enjoy working across the full stack: designing databases, building APIs, training models, and creating intuitive interfaces. Currently focused on NLP, retrieval-augmented generation, and making financial data more accessible through AI.
Full-Stack RAG System
AI-powered retrieval-augmented generation system for querying SEC EDGAR filings using natural language. Covers the top 10 S&P 500 companies with 1M+ structured XBRL data points and semantic vector search across 10-K and 10-Q filings from 2010 to present.
Intelligent classification routes queries to metric lookup, timeseries, narrative search, hybrid, or full statement retrieval
pgvector cosine similarity search with cross-encoder reranking, combined with structured XBRL financial data
0-100 confidence with 5 weighted signals: retrieval quality, source coverage, cross-source agreement, citations, recency
SSE streaming with live classification display, retrieval plan animation, and progressive answer generation
More projects coming soon.