Nainam Ajay

I’m a Computer Engineering student specializing in AI/ML and full-stack development, focused on turning data and models into reliable, production-ready solutions. I enjoy tackling real-world engineering challenges with practical, measurable results.

Through internships, I’ve built and deployed machine learning models for real-world analytics, improving predictive accuracy with feature engineering and hyperparameter tuning across multiple client projects. I also automated end-to-end data preprocessing pipelines in Python to reduce inconsistencies and manual effort.

On the full-stack side, I developed and maintained web applications using the MERN stack, contributing to production client products. I’ve resolved critical bugs with systematic debugging and streamlined Git workflows, helping improve release stability and reduce deployment time.

My projects blend computer vision and applied AI—like a CNN-based medical image diagnosis system and an AI food allergen & nutrition checker using OCR and the OpenFoodFacts API—so I can deliver useful insights with strong evaluation and iterative optimization.