Sunil S

I’m an AI/ML graduate with 4 months of SDE internship experience building scalable software solutions. I focus on writing clean, efficient code, and I enjoy turning models and data into features people can actually use.

During my Software Development Engineer Intern role at Pivotr, I developed and shipped production-grade features across backend APIs and frontend integration. I built RESTful APIs using Flask to move data between the frontend and MySQL, optimized SQL queries to reduce data retrieval latency, and integrated ML model outputs into product features.

My projects reflect my end-to-end mindset: I built a Predictive Demand Forecasting System using ARIMA/SARIMA with an engineered feature pipeline, plus MySQL-backed storage and Streamlit deployment. I also created a YOLO Real-Time Object Detection System with YOLOv8 and OpenCV, served through a Flask REST API with MySQL logging, and an Automated Snake Game using Deep Reinforcement Learning with PyTorch and a DQN agent.

I’m strongly grounded in algorithms and OOP, and I care about performance, reliability, and maintainable architecture. I’m looking for a role where I can ship impactful software while continuing to bridge data science and software engineering.