Enterprise products, documented in depth.

A multi-tenant, AI-powered Applicant Tracking System built for enterprise recruiting — resume parsing, semantic job matching, explainable candidate ranking, interview intelligence and recruiter analytics, deployed on Azure.

A document-AI engine that parses resumes from PDF/DOCX, extracts employers, titles, skills and experience with confidence scores, matches resumes to jobs via semantic search, and generates standards-ready HR-XML.

A FastAPI platform that fuses real-time price, macro and news data into an ensemble prediction pipeline, a CALLS/PUTS decision engine, EDGAR XBRL fundamental analysis, automated thesis generation, backtesting and scheduled retraining.

A predictive analytics system for driver safety using DriveCam/Lytx-style behavioral data — clustering and classification to profile risk, trigger alerts and drive preventive coaching.

A financial analytics case study comparing Tesla and GM across profitability, liquidity, leverage and efficiency ratios — framed as an investment thesis, not a slide deck.

An NLP-based assistant that helps users discover services, retrieve knowledge and look up documents through natural language — reducing dependence on call centers and manual navigation.

An outbound sales and marketing platform that manages leads and HR prospects, drafts AI outreach, routes it through an approval queue, and tracks campaigns — architected to grow into a full CRM.

PeopleSoft eRecruit enhancements and HR process automation — recruiting workflow automation, applicant screening logic, candidate disposition improvements, plus a concept for an internal AI assistant with no external LLM dependency.

An academic ML capstone that predicts agricultural crop yield from environmental and historical production factors using regression analysis and gradient descent — helping identify the most suitable, highest-yielding crop for a region.