B.Tech IT Undergrad · Manipal Institute of Technology, Bengaluru
Building in: LLM Integration · Geospatial AI · Full-Stack · ML Systems
About & Skills
B.Tech Information Technology undergraduate at Manipal Institute of Technology, Bengaluru (graduating 2027), with hands-on production experience in full-stack development, applied ML, and AI systems.
Currently on an AI internship at the National Informatics Centre, Govt of India — building geospatial AI with LLaMA 3.3-70B and ArcGIS for natural language district analysis, census anomaly detection, and automated PDF reporting.
Experience
Selected Work
Full-stack AI platform ingesting business SOPs → automated process intelligence → interactive flowcharts via ReactFlow. Single upload triggers: PDF parse → LLM analysis → graph extraction → 7 KPI benchmarking → consulting-grade PDF report.
Detects & classifies power disturbances — sag, swell, harmonics, transients — with 99.16% accuracy. Voice AI assistant, real-time FFT dashboard, IEEE-aligned simulation.
Hybrid recommendation engine — collaborative + content-based filtering — with similarity algorithms and large-scale preprocessing pipelines.
↗Full-stack fitness app with regression-based progress prediction, workout & nutrition logging, user auth, scalable relational DB.
↗Government GIS chatbot — NL-to-SQL querying, ArcGIS 28-layer integration, census anomaly detection.
↗Skills Map
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Journey
Joined Manipal Institute of Technology's Information Technology program — began building foundations in data structures, algorithms, OOP, and web development. Found a passion for building things that actually work in the real world.
Developed FitTrack Pro and CinematchAI — end-to-end products with Flask, MySQL, regression ML, and collaborative filtering. First real taste of building data-driven features from scratch.
Deployed the company's production website end-to-end. Integrated Google Sheets API for real-time lead capture, implemented client-side security, and resolved critical performance bottlenecks. First real production deployment experience.
Building a GIS-based AI chatbot for district geo-analysis at a national scale. LLaMA 3.3-70B + ArcGIS + NL-to-SQL + Z-score anomaly detection across 28 spatial layers. The biggest real-world AI system I have built so far.
Let's Connect
Seeking internship and research roles in software engineering, full-stack development, and applied machine learning. Open to collaborations and professional connections.