mohit jingar

I’m a technology graduate from IIT Jodhpur with hands-on experience across Generative AI, Python, SQL, and cloud-based full-stack development. I focus on turning business requirements into scalable technology solutions, using modern software engineering practices.

In my Undergraduate Student Researcher role at IIT Jodhpur, I built a Python-based data processing pipeline for large-scale behavioral datasets and automated preprocessing/validation of 10,000+ time-series records. I implemented and evaluated multiple Scikit-learn models and used data visualization to generate actionable insights.

As a Research Assistant on Human Activity Recognition, I worked with a 13.6 million-entry time-series dataset. I performed data cleaning, preprocessing, and validation, conducted exploratory analysis, and evaluated classification approaches systematically—achieving 94.8% accuracy with optimized machine learning models.

My projects reflect how I ship AI-powered software: I built a cloud-deployed AI-Powered Ticket Management System using LLM APIs (Gemini API), AWS (EC2, S3), JWT authentication, and 10+ REST APIs, plus Jest unit tests with 80%+ code coverage. I also developed a heritage learning web app with React/Node.js/MongoDB and integrated Blender/Unity WebGL assets, and built a credit risk modelling system achieving 85%+ accuracy using Python and Scikit-learn.