About
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.
Experience1
AI/ML
Jul 2025 — Mar 2026Heybobo
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.
Projects2
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.
Education2
B.Tech in Computer Science Engineering
2022 — 2026RGUKT Srikakulam
Pre-University Course
2020 — 2022RGUKT Srikakulam