Punya Mittal is an AI Engineer and Computer Science student at VIT Chennai. His work covers AutoML, RAG, LLM security, emotion-aware agents, and agri-AI research — with evaluation and deployment as first-class goals.
Punya Mittal is a currently studying B.Tech CSE student at VIT Chennai (batch 2024–2028) and AI Engineer with documented results: Code Red 1st place (ACM-W VIT Chennai), 4th place at ANNAM.AI Hackathon 2025 (IIT Ropar / Ministry of Education CoE), NPTEL Top 1% (IIT Kanpur), MSME Idea Hackathon Top 40, SRIP research selection, and founder of Y-SoC.
REHAB (सीखो और बढ़ो) tackles engagement gaps in rehab programs for underaged children. Piloted at SPYM Rehabilitation Centre, Daryaganj under MY Bharat. Emotion feedback shifted from Confused → Happy; verified by the centre and supported by the District Youth Officer, Central Delhi.
Context-aware problem canonicalization, multi-gate ethics/feasibility checks, semantic dataset discovery, AutoML (RF / LightGBM / XGBoost), and automated code generation. Evaluated on 33 problems: Acc/R² 0.690, F1 0.746, ~5 min E2E, 85% unsafe-task filtering. Research paper in prep with Garv Bansal & Vaibhav Raj.
Constrained multi-objective gear-ratio optimization with traction limits, event simulation (Accel / Skidpad / Autocross), voice commands, offline fallback, mobile trackside UI, and RPM-driven engine sound synthesis. A digital race engineer for FS teams.
Worked with hospital IT on digital pen / dot-paper digitization of handwritten records, vendor workflows, and AI/ML training for handwriting. Built a RAG chatbot over hospital docs and researched private open-source LLM deployment for healthcare privacy.
Kai simulates emotions, long-term memory, personality, and regulation — designed to feel less like a chatbot and more like a digital personality. Explores human-centric applied AI research.
Defense-in-depth: ML detector on 100k+ prompts, rule filters, benign whitelisting, confidence escalation. ~99–100% recall, <2% FN, >50% FP reduction. Hybrid verdict engine for agent/tool safety.
Redesigning Indian agriculture with AI-powered precision: gene-editing insights + real-time digital twin ecosystems for sustainable farming. Built for ANNAM.AI Hackathon 2025 (4th place) at IIT Ropar — CoE of the Ministry of Education.
Competition placements, certifications, and programs — listed as recorded, not ranked claims.
CODE RED #1
1st place — ACM-W VIT Chennai hackathon
ANNAM.AI 4TH PLACE
4th place — ANNAM.AI Hackathon 2025 · CoE of Ministry of Education @ IIT Ropar
Official page →NPTEL TOP 1%
Conservation Economics · 100% · Top 1% of 5240 (IIT Kanpur)
MSME TOP 40
MSME Idea Hackathon 5.0 — Top 40 nationwide (VIT Chennai)
GENAI FINALIST
Top 30 / 400+ · ML Mumbai GenAI Hackathon · FinTech build
HACKRONYX 35
Top 35 / 8000+ · National finals with HackWithIndia