Jeet Parab

GitHub SentinelKilnDB Resume LinkedIn Email

Hi, I’m Jeet Parab, currently working as Technical Lead: Cloud and Data Engineer at HCLTech, with a passion for Machine Learning, LLMs, NLP, and Geospatial Analytics.

I thrive at the intersection of research and engineering, building scalable AI systems that solve real-world problems.

During my research internship at the Sustainability Lab, IIT Gandhinagar, I co-authored SentinelKilnDB (accepted at NeurIPS 2025, Data & Benchmarks Track), contributing to: - Satellite imagery object detection - Dataset curation & benchmarking - Active learning workflows integration

At HCLTech, I focus on deploying enterprise-grade LLMs, optimizing them with RAG and model distillation, and integrating them with cloud platforms for production-ready AI solutions.

Education

  • B.Tech – Computer Science and Engineering Indian Institute of Information Technology, Surat Surat, Gujarat | 2021 – 2025
    CGPA: 9.03

  • Higher Secondary Certificate (MSBSHSE) Pace Junior Science College, Thane Thane, Maharashtra | 2019 – 2021
    Score: 95.8%

  • Secondary School Certificate (CBSE) D.A.V. Public School, Thane Thane, Maharashtra | 2007 – 2019
    Score: 96.6%

Experience

Technical Lead – Cloud & Data Engineer
HCLTech, Chennai, Tamil Nadu
Jul 2025 – Present
  • Deploying and fine-tuning LLMs in enterprise workflows, advancing AI capabilities with RAG and model distillation.
  • Integrating AI solutions with cloud platforms to automate and optimize business processes.
  • Delivering scalable, production-ready ML systems with cross-functional collaboration.
Research Intern
Sustainability Lab, IIT Gandhinagar
Jan 2025 – Jul 2025
  • Co-author of SentinelKilnDB (NeurIPS 2025) under Prof. Nipun Batra & Rishabh Mondal.
  • Curated a brick kiln detection dataset across South Asia using Sentinel-2 imagery.
  • Benchmarked 28 detection models (e.g., DETR, Galileo, TerraMind).
  • Improved performance with self-supervised learning (SimCLR, Jigsaw) and active learning.
  • Expanded validated detections to 65,616 kilns across South Asia covering India, Nepal, Bangladesh, Afghanistan, and Pakistan.
Project Intern
Prodware Solutions, Mumbai, Maharashtra
Jun 2024 – Jul 2024
  • Built a multi-functional chatbot using Google Dialogflow & Gemini, reducing workflow time by ~60%.
  • Designed and implemented NLP pipelines for enterprise automation.

Projects

  • LLM-Based Energy Monitoring System – Analytics pipeline to answer natural language energy queries with 90%+ accuracy. Benchmarked five LLMs & optimized prompts. [Tech: PyTorch, Hugging Face, Streamlit]

  • Signature Verification System – Hybrid ML + OpenCV system achieving precision/recall of 0.92 for user signature verification. [Tech: Scikit-learn, OpenCV]

  • Crime Monitoring System – REST-based application with API integration for managing and tracking crime reports. [Tech: React, Node.js, AXIOS]

  • Sentiment-Gender-Bias Analysis – Empirical study on gender bias in LLMs, analyzing sentiment differences across gendered statements. [Tech: Python, NLTK, Transformers]

Skills

Programming Languages
  • Python
  • C++
  • C
  • SQL
  • PHP
  • JavaScript
  • HTML / CSS
Machine Learning & AI
  • PyTorch, TensorFlow, Keras
  • Scikit-learn, NLTK
  • Hugging Face Transformers
  • LLM Fine-tuning & RAG
  • Self-Supervised Learning
Tools & Platforms
  • Git, Docker, Linux
  • Power BI, Figma
  • Streamlit, Colab
  • Cloud Platforms (AWS, GCP, Azure)
Domains & Expertise
  • LLMs & NLP
  • Geospatial Analytics
  • System Design & Architecture
  • Web Development
  • Dataset Curation & Benchmarking

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