🚀 Passionate Data Scientist | Full-Stack Developer | AI Innovator
Hello! I'm Bhupathi P, a B.Tech graduate in Computer Science and Engineering with a strong foundation in software development, data science, and AI / ML. I thrive on solving complex problems and building innovative solutions that make a real-world impact.
Designed, developed, and deployed machine learning models for predictive analytics and decision making using statistical analysis and advanced ML techniques.
I completed a 3-month internship as a Python AI/ML Intern at NeonFlake Enterprises, where I developed the backend for a resume screening system using RAG and OpenAI APIs. I also built intelligent chatbots using Django and MongoDB for advanced information retrieval.
Implemented a face emotion recognition system using YOLOv8 and Vision Transformer (ViT), achieving accurate real-time emotion detection. Optimized the model for efficiency in analyzing facial expressions from images and videos.
Developed a predictive maintenance model to anticipate equipment failures using machine learning algorithms, improving operational efficiency and reducing downtime by analysing historical data and sensor readings.
PolyglotDocs is a multilingual document processing system developed as a final-year B.Tech project. It integrates Google Translator to translate documents across multiple languages and allows users to save the translated documents in PDF format to the cloud. This feature ensures that individual users can conveniently access and manage their list of translated documents from anywhere.
A Retrieval-Augmented Generation (RAG) system designed for efficient document-based querying. Built using OpenAI for text embeddings, LLAMA 3 70B(provided by Groq) for prompt generation, and MongoDB for vector storage, it enables users to upload multiple PDF or DOCX files and ask questions. Responses are generated based on the context within the uploaded files, working exclusively with text data. Developed with Django, HTML, JavaScript, CSS, and LangChain for robust document processing.
A project that converts long URLs into short, manageable URLs. This tool helps simplify and shorten web links for easier sharing and usage, enhancing user experience and link tracking capabilities.
A web-based Library Management System developed using Django, HTML, CSS, and JavaScript. This system provides an efficient solution for managing library operations, including book inventory, user records, and transaction tracking.
A React Native mobile app that calculates the cost of an item based on its weight when the cost per kilogram is entered. It can also determine the weight when the cost and cost per kilogram are provided. This app simplifies pricing and weight estimation for various goods.