SWAPNIL CHAUDHARI

I am an AI/ML-focused software engineer with a B.Tech in Computer Science (AIML) who builds predictive models and production-ready analytics to solve real-world problems. I have interned as an ML/AI Engineer, contributing to financial forecasting, anomaly detection, and neural-network based solutions.

My work at ArthaVedh and Rapid Technologies involved reducing forecasting discrepancies by 20%, cutting manual review time by 40%, and improving model accuracy and processing speed. I have hands-on experience with Python, neural networks, decision trees, clustering, time-series forecasting, and anomaly detection applied to finance and healthcare projects.

I bring strong communication, leadership, and problem-solving skills, and I consistently rank among top candidates in competitive internship selections and competitions. I am eager to join teams building impactful, customer-centric AI solutions where I can continue to learn and deliver measurable results.