Professional Experience

Engineered micro-accurate Ground Truth datasets for Egocentric Video analysis, focusing on complex human-object interactions. Provided core datasets instrumental in securing publications at top-tier AI conferences like CVPR and ICCV.

Developed and deployed an intelligent RAG-based AI Agent system for RTI Business. Led research in stock market automation by integrating NLP-driven sentiment analysis with financial indicators for improved equity predictions.

Mentored over 300 undergraduate students in foundational programming, Machine Learning basics, and AI concepts. Developed course materials, assisted in lectures, and provided personalized tutoring to ensure strong student comprehension.

Served as the main consultant for the AI Innovation Challenge. Designed competition guidelines, defined evaluation criteria, and managed technical documentation for an AI-based competition involving 100+ teams and 300+ participants.

Supported the core Programming Basics (DDP) course for over 300 students. Assisted students in mastering foundational programming logic, syntax, and algorithmic thinking through interactive lab sessions and grading.