About Me
AI/ML-focused Computer Science student with hands-on experience in machine learning, deep learning, and Large Language Models (LLMs). Built real-world applications including health modules and image classification systems, working across data preprocessing, model training, and evaluation.
Skills & Technologies
Work Experience
AI/ML
Developed an AI-powered Workout Plan Generator using Large Language Models (LLMs), focusing on model experimentation, prompt design, and response optimization. Designed a scalable Health Module with features like allergy management and vaccination scheduling. Built an OCR pipeline using PaddleOCR and real-time pose estimation pipelines using MediaPipe, conducting extensive experimentation to improve accuracy and performance.
Projects
PDF Query Assistant
Built a RAG-based PDF Question Answering System using FAISS and LLMs for semantic search and response generation, enabling page-level retrieval and responses with source references.
Blood Cell Classification Using Transfer Learning
Implemented a ResNet50-based transfer learning model for multi-class blood cell classification, achieving 90% accuracy and developing a GUI-based application for real-time image prediction and visualization.
Education
B.Tech in Computer Science Engineering
Computer Science