Abhisek chakraborty

I’m a Research Assistant building data-driven solutions that turn complex problems into clear outcomes. I’ve been running hands-on tutorials and lab sessions for 100+ undergraduate students and consistently improved average student scores by 20% across multiple Data Structures batches.

In parallel, I develop practical, user-focused software. As a Frontend Developer Intern, I designed and built responsive React/Material UI components for an administrative portal, improving usability and streamlining internal workflows while reducing page load time by 15% through performance and cross-browser optimizations.

My work in data science centers on extracting insight quickly and responsibly. During a Data Science Internship, I processed 5+ datasets (10K–50K rows), reducing reporting time by 30%, and I built basic machine learning models with Python, Pandas, and Matplotlib while collaborating to connect business goals to statistical approaches.

I also enjoy engineering AI systems end-to-end, from modeling to retrieval and deployment. Through projects like CareerCopilot (85%+ ATS match accuracy) and Pharma AI (90%+ relevance across 1,000+ queries), I’ve applied NLP, RAG patterns, and evaluation-focused iterations; I’ve also built a Lightweight IDS for IoT networks using TensorFlow Lite to detect malicious traffic with low latency and optimized resource usage.