Het Shah

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Open Source ML Contributor

Google Summer of Code (GSoC) 2026

Jun 2026 - Current (4 months)

• Develop and optimize semantic segmentation architectures (U-Net, SegNet) in PyTorch on multi-temporal satellite imagery, increasing coastline reconstruction accuracy by 16% across 1000+ km of Alaskan territory.
• Build longitudinal time-series forecasting models on large-scale remote sensing data arrays, automating environmental tracking pipelines and reducing regional erosion predictive errors by 11%.

Machine Learning Engineer Intern

Wadhwani AI

Jan 2026 - Jun 2026 (6 months)

• Data Pipeline Infrastructure (AWS/GCP): Architected an enterprise agricultural knowledge base utilizing the Mistral OCR API, orchestrating automated cloud-native ETL jobs via AWS S3 and GCP Cloud Functions to ingest 8,000+ complex multi-modal documents.
• Production Deployment (FastAPI/vLLM): Containerized and deployed a production-grade agentic RAG pipeline using FastAPI, vLLM, and Docker to serve live agronomic advisory queries, achieving an end-to-end pipeline latency of ∼5 seconds.
• MLOps & Experiment Tracking (WandB): Systematically benchmarked 5+ distinct RAG configurations and open-source LLMs across 1,500+ golden evaluation queries; monitored retrieval precision and generation alignment end-to-end via Weights & Biases (

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Undergraduate Researcher

Indraprastha Institute of Information Technology, Delhi

Oct 2025 - Dec 2025 (3 months)

• Implemented bidirectional program slicing on C/C++ codebases, reducing vulnerability search space by 42% across 1.5M+ lines of production code.
• Fine-tuned Large Language Models (LLMs) on sliced code representations to classify vulnerabilities, achieving a 25% improvement in F1-score detection performance over established baselines.
• First-authored a research paper detailing the LLM-driven vulnerability detection pipeline, evaluating models on code vulnerabilities, currently under peer review at an A●-ranked conference.

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Teaching Assistant - Reinforcement Learning

Indraprastha Institute of Information Technology, Delhi

Aug 2025 - Dec 2025 (5 months)

• Instructed 80+ undergraduate students in deep reinforcement learning theory (PPO, GRPO, Q-learning) and guided development of PyTorch-based agent training frameworks, yielding a 92% positive instructional rating.

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Research Intern

IIT Patna

May 2025 - Oct 2025 (6 months)

• Pioneered a customized GRPO (Group Relative Policy Optimization) alignment architecture, optimizing a binary reward function (0/1) for exact ground-truth matching, which secured a 27% exact-match accuracy boost on a complex cultural QA dataset (Certificate).

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Research Intern

AI Institute, University of South Carolina (AIISC)

Jan 2025 - Oct 2025 (10 months)

• Engineered an agentic multi-modal AI execution pipeline to parse complex lecture slides, autonomously generating difficulty-graded quiz questions and assessments with a 94% factual accuracy rate against the source material.
• Programmed a personalized learning engine driven by hybrid reinforcement learning for real-time difficulty adaptation, integrating Llama-3.2 summary pipelines to boost active student retention by 19%.
• Co-authored system-architecture paper ‘‘PAL: Personal Adaptive Learner’’, peer-reviewed and accepted for publication at AAAI 2026 (Certificate).

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Undergraduate Researcher

FLaME.nlp Research Lab, IIIT Delhi

Jan 2024 - Jun 2025 (1 year 6 months)

• Designed a novel architecture based on knowledge distillation and Chain-of-Thought (CoT) reasoning for conversational AI models, successfully improving classification accuracy by 19% on the F1-score.
• Curated a specialized dataset of 15,000 annotated dialogue records, constructing an automated quality-control validation pipeline using Pandas that programmatically cut label noise by 14%.
• Co-authored ‘‘Measuring What Matters: Assessing Therapeutic Principles in Mental-Health Conversations’’, accepted for an Oral Presentation at the ACL 2026 Main Conference (Certificate).

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Het Shah

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