Saran Suraj S

I’m a Computer Science Engineer specializing in applied Machine Learning and NLP, with hands-on experience taking models from data preprocessing to deployment. My focus spans Transformer-based systems, real-time Computer Vision, and predictive analytics—built to work in production contexts.

Through my Python Junior Developer Intern role, I reduced manual data-processing time by 70% by designing and deploying automation scripts for repetitive workflows. I also improved model reliability to 92% accuracy by running end-to-end data preprocessing and feature engineering, and accelerated deployment turnaround by 40% by integrating AI solutions into real-time production environments.

My projects reflect the same end-to-end mindset: I achieved 93% validation accuracy with a Transformer-based feedback validation system, delivered eye-controlled cursor control under 50ms latency using OpenCV facial landmark detection, and built an NLP chatbot that resolved 90% of test queries via intent recognition. I’m equally comfortable with geospatial visualization for an AI-driven epidemic early warning system (88% predictive accuracy), and I stay sharp with certifications in prompt engineering, machine learning, Python for data science, and data visualization.