Jatin Mehra

Jatin Mehra

AI Engineer & ML Researcher

M.Sc. Data Science Candidate, Chandigarh University
Sales Operations Analyst, NB Enterpriser (India Today Group)

About

I am an AI Engineer and Machine Learning Researcher with expertise in developing intelligent systems that solve real-world problems. My work spans machine learning, natural language processing, computer vision, and AI automation. I am currently pursuing a Master of Science in Data Science at Chandigarh University while working as a Sales Operations Analyst at NB Enterprises (India Today Group).

My research interests focus on Large Language Models, Retrieval-Augmented Generation (RAG) systems, and building production-ready AI applications. I have achieved top rankings in multiple Kaggle competitions, including a Silver Medal (Top 2%) in the MAP Competition for predicting student math misconceptions and 11th place (Top 1%) in the Nexar Dashcam Collision Prediction Challenge.

I believe in the power of continuous learning and practical implementation. My journey from statistical foundations to cutting-edge AI applications has been driven by self-study, hands-on projects, and participation in competitive machine learning challenges.

Research Interests

  • Large Language Models (LLMs)
  • Natural Language Processing
  • Computer Vision
  • Retrieval-Augmented Generation
  • LLM Fine-tuning
  • Multi-Agent AI Systems
  • Deep Learning
  • Time Series Forecasting

Technical Skills

Programming Languages

  • Python
  • C++
  • Java
  • SQL
  • JavaScript

AI/ML Frameworks

  • PyTorch
  • TensorFlow / Keras
  • Scikit-learn
  • Hugging Face Transformers
  • LangChain / LangGraph

Data & Visualization

  • Pandas / NumPy
  • Matplotlib / Seaborn
  • Tableau
  • Power BI

Tools & Deployment

  • Docker
  • FastAPI / Flask
  • Streamlit
  • Git / GitHub Actions
  • Google Cloud Platform

Selected Projects

MAP Competition: Predicting Student Math Misconceptions

🥈 Silver Medal

Developed an advanced NLP system using an ensemble of 6 large language models (7B-14B parameters) to automatically identify mathematical misconceptions from student explanations. Achieved 0.947 MAP@3 score, ranking 45th out of 2,500+ participants (Top 2%).

NLP LLM Fine-tuning LoRA/QLoRA PyTorch

Nexar Dashcam Collision Prediction

🏆 11th / Top 1%

Computer vision project for dashcam collision prediction using VideoMAE-2 architecture. Implemented transformer-based video analysis for real-time safety applications in autonomous driving.

Computer Vision VideoMAE-2 Transformers PyTorch

View All Projects →

Recent Updates

  • 2025 — Started M.Sc. in Data Science at Chandigarh University
  • 2024 — Achieved Silver Medal (Top 2%) in Kaggle MAP Competition
  • 2024 — Ranked 11th (Top 1%) in Nexar Dashcam Challenge
  • 2024 — Completed NVIDIA RAG Agents Certification
  • 2024 — Published multiple AI models on Hugging Face with 1000+ monthly downloads