About
Third-year Computer Engineering undergraduate with hands-on experience in Linux, Python, and network security. Built an AI-powered criminal network analysis system using Neo4j, graph analytics, and FastAPI, and is actively upskilling in cybersecurity through TryHackMe.
Education
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2028
BEAll India Shri Shivaji Memorial Society (AISSMS) College of Engineering, PuneAwarded by Savitribai Phule Pune University (SPPU)Computer Engineering · Aug 2024 – May 2028
Skills
Tools / apps / platforms
Projects
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Python, JavaScript, Neo4j, FastAPI, React.js, NetworkX, PyTorch Geometric, Cytoscape.js
Graph-based intelligence system that uncovers hidden relationships among suspects, locations, and financial transactions from crime data. Built a Neo4j graph database, implemented graph analytics for kingpin/broker detection, developed hidden-link prediction, designed an explainable risk-scoring layer, and built a FastAPI backend with a React/Cytoscape.js dashboard.