
Results-driven AI Developer with expertise in Machine Learning, Deep Learning, NLP, Generative AI, and Retrieval-Augmented Generation (RAG). Proficient in building scalable AI solutions using Python, TensorFlow, PyTorch, and integrating with frontend technologies like React and backend systems including MySQL and MongoDB. Delivered high-impact projects such as a Tax Form Auto-Filling system (85% accuracy, 90% reduction in manual effort) and Resume Parser (95% accuracy), enhancing efficiency and user experience. Eager to leverage innovative problem-solving skills to drive AI advancements in dynamic tech environments
AI & Machine Learning: Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Generative AI (Gen AI), Retrieval-Augmented Generation (RAG), Neural Networks, Predictive Modeling, Data Analytics, Prompt Engineering
Programming Languages: Python, Java, JavaScript, C (inferred from projects)
Frontend: React, HTML, CSS, Bootstrap
Backend & Databases: RESTful APIs, FastAPI, SQL, MySQL, MongoDB
Tools & Frameworks: TensorFlow, PyTorch, scikit-learn, Keras, OpenCV, Git, GitHub, VS Code, Maven, IntelliJ, Postman
Core Concepts: Object-Oriented Programming (OOP), Data Structures, Algorithms
Soft Skills: Project Management, Problem-Solving, Communication, Adaptability, Team Collaboration
Tax Form Auto-Filling System Using RAG
Resume Parser
Adaptive Learning System