Education: Currently pursuing a Bachelor of Technology in Artificial Intelligence from Mahindra University, Hyderabad, with a GPA of 7.6, and completed intermediate studies with a 91.2% score from FIITJEE College, Hyderabad.
Internship Experience: Completed a Computer Vision Internship at MLIT-Sol Pvt Ltd (June 2023 – August 2023), where he designed and deployed a rod counting system using YOLOv8 and TensorFlow Lite, leading to an 8% increase in profits and a 5% reduction in costs for the steel manufacturing industry.
Technical Expertise: Skilled in Python and machine learning libraries such as Hugging Face Transformers, PyTorch, NumPy, and Pandas. Proficient in advanced techniques like Parameter-Efficient Fine-Tuning (PEFT) and Retrieval-Augmented Generation (RAG).
Key Projects: Developed a vision-based entity extraction model using Hugging Face Idefics-9b, achieving 78% precision and 95% recall. Created a RAG-based resume query assistant with FAISS, BM25, and FastAPI, enhancing query accuracy with scalable cloud-based inference on Amazon EC2.
Innovative Solutions: Built a research paper title generator using the BART-base model, achieving strong ROUGE scores, and developed a multi-PDF chatbot with RAG and Mistral Nemo to handle complex queries across multiple documents with high contextual accuracy.
Tools and Frameworks: Experienced in using cutting-edge tools like LangChain, YOLOv8, FAISS, AWS SageMaker, and AWS Bedrock, with expertise in search and retrieval systems, including Chroma and FAISS for efficient document retrieval and search tasks.