Salil Mandal

Designed and delivered AI/ML curriculum covering Python, data science, and deep learning. Guided students through projects using TensorFlow and PyTorch, and conducted assessments and mentoring to enhance learning outcomes.

Contributed to Reinforcement Learning from Human Feedback (RLHF) workflows for improving instruction-following capabilities of large language models. Reviewed, evaluated, and ranked AI model outputs across diverse domains to refine conversational accuracy, factual consistency, and tone alignment.

Engineered a LiDAR-based Vehicle Side Profile Generation System using Python and OpenCV, achieving 98% vehicle classification accuracy. Reduced toll booth processing times by 25% through real-time LiDAR point cloud data processing and efficient security screening algorithms.

Grade: 7.79/10

Activities and societies: Statistics, soft-computing, DSA, Machine Learning, Data analysis, Advanced DBMS, Deep learning

Master's of Technology in Data Science from School of Information Technology, UTD-RGPV, with a CGPA of 7.79/10.

Grade: 7.66/10

Activities and societies: Data Structures and Algorithms, Object-Oriented Programming, Database Management Systems, Computer Networks

Bachelor's in Technology in Automobile Engineering from University Institute of Technology, RGPV, with a CGPA of 7.66/10.