Researcher

Delhi, India

Columbia, South Carolina, United States

Patna, Bihar, India

New Delhi, Delhi, India

Bachelor of Technology - BTech, Computer Science and Engineering
Indraprastha Institute of Information Technology, Delhi

High school diploma
Indian School Wadi Kabir (CBSE)
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Hi, I'm Het, a recent Computer Science graduate from IIIT Delhi focused on Deep Learning, Natural Language Processing, and Reinforcement Learning. I love turning ideas into working systems and collaborating on projects that solve real problems. Feel free to contact me: het22213@iiitd.ac.in
Delhi
Machine Learning Intern at Wadhwani AI, Jan 2026 - Present · 6 mos, Delhi, India, - LLM-Based Evaluation Metrics: Designing human interpretable metrics to effectively evaluate generations using language models. - Enhancing RAG QA systems and Exploring Conformal Predictions with RAGs.
Research Intern at Artificial Intelligence Institute of South Carolina, Jan 2025 - Dec 2025 · 1 yr, Columbia, South Carolina, United States, Advisor: Dr. Amit Sheth - Worked on Neurosymbolic AI to integrate AI with MTSS K-12 education framework. - Engineered a multimodal content pipeline utilizing LLaVA-mini and OCR to analyze visual and transcript data, autonomously generating timestamped, difficulty-graded assessment questions from raw lecture videos. - Developed a personalized learning engine that uses hybrid reinforcement learning for real-time difficulty adaptation and a Llama-3.2-based RAG system to generate context-aware, user-tailored summaries. - Co-authored a research paper ‘‘PAL: Personal Adaptive Learner,’’ accepted for publication at AAAI 2026.
Research Intern at AI-NLP-ML Research Lab IIT Patna, May 2025 - Sep 2025 · 5 mos, Patna, Bihar, India, Advisor: Dr. Sriparna Saha Implemented a Group Relative Policy Optimization (GRPO) algorithm integrated with knowledge graphs and vector databases in PyTorch for Indian cultural question-answering.
Undergraduate Researcher at FLaMe.nlp Research Lab, Jan 2024 - Jun 2025 · 1 yr 6 mos, New Delhi, Delhi, India, Advisor: Dr. Md. Shad Akhtar - Improved LLM faithfulness evaluation in mental health conversations by designing a novel fused-attention architecture in PyTorch, integrating a RAG module with a knowledge-distilled CoT model. - Co-primary author in a research paper accepted at ACL 2026 Main Conference for Oral presentation.
Bachelor of Technology - BTech, Computer Science and Engineering, Indraprastha Institute of Information Technology, Delhi
High school diploma, Indian School Wadi Kabir (CBSE)