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Competition
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Leadership & Recognition
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DRDO Summer Research Intern SAG, Ministry of Defence Jun – Jul 2026 Cryptographic security research |
TransOrg Analytics Full Stack Development Intern May – Jul 2026 Production enterprise platform |
Open Health Systems Lab Research Intern May – Jul 2026 Clinical ML for early diagnostics |
Enhancing Predictive Analysis with Large Language Models in the Digital Innovation World IGI Global, 2025 · DOI: 10.4018/979-8-3373-2474-6.ch008 Peer-reviewed chapter covering prompt engineering for predictive tasks, generative model behavior, and responsible LLM deployment — written and published in 2nd year of B.Tech.
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Special Prize (Best Idea) - Riverathon 1.0 (Feb 2026) Stack: Geospatial AI | GeoPandas | Rasterio | Python • AI flood early-warning system predicting risk by integrating sediment dynamics — a gap standard flood maps miss. • Built and demonstrated in 24 hours; achieved national-level recognition. • Live dashboard still operational. Emotion-Aware LLM Companion (Feb – Mar 2026) Stack: LLM Systems | Prompt Engineering | Python • Emotionally adaptive AI system responding to user emotional states with ethically constrained, non-prescriptive guidance. • Fully shipped with a live demo; zero data collection, bias-aware design by default. |
Network Traffic Classifier (Jul – Aug 2025) Stack: Network Security | ML | Python • Privacy-preserving network traffic classification on real encrypted flows, without deep packet inspection. • Achieved 90%+ classification accuracy on a real-world dataset. • Deployed as a live inference service. Winner - Code Canvas 4.0 (Aug – Oct 2025) Stack: React | Node.js | Python | scikit-learn • Real-time ML system detecting crowd risk and autonomously generating evacuation routes. • Departmental First Prize, demonstrated under live conditions. |
