AI Agents system using CrewAI to identify former elite swimmers in key tech positions.

CLI toolkit to evaluate GitHub portfolios (17 criteria) with transparent scoring, profile-based recalibration, and job-fit gap analysis.

SRM Career Catalyst uses AI and a knowledge base of 220+ successful alumni resumes to give students personalized, data-driven feedback on aligning their resumes with proven placement patterns.

AI-powered career intelligence system that performs resume–job skill gap analysis using NLP techniques including TF-IDF, cosine similarity, and ranking algorithms to generate data-driven career insights.

Autonomous AI Growth Engine for high-velocity job discovery and career optimization. Built with LangGraph, Python, and Agentic Workflows.

A smart hiring platform that matches candidates to jobs using context-based resume and job analysis, providing clear, explainable fit scores and transparent insights for both recruiters and candidates.

An AI-powered job application co-pilot that analyzes job descriptions, optimizes resumes, identifies keyword gaps, and generates structured application guidance to improve interview conversion rates.

Built an AI-powered resume screening system that parses resumes, auto-detects job roles, and ranks candidates based on skill, experience, and education match using Python and Streamlit.

Full-stack, API-first AI career intelligence engine that parses resumes, redacts PII for bias-aware scoring, extracts skills, computes semantic match percentages using transformer embeddings, ranks candidates, and generates explainable insights. Built with FastAPI, Sentence Transformers, PostgreSQL, and a minimal React frontend.