Python Developer building AI/ML applications — RAG pipelines, LLM integration, and full-stack systems. Also a Python tutor who's taken students from their first print() to shipping real projects.
Python Developer at Moksha Solutions, building efficient, scalable applications with a focus on AI & Machine Learning. I enjoy solving real-world problems through clean code and intelligent automation.
Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LangChain — building AI-powered applications and exploring how LLMs can solve real-world problems.
Strong foundation in Python, with experience using Pandas and NumPy for data handling, and Django and FastAPI for building and deploying APIs and backend systems. Comfortable working with MySQL, system architecture, and operating systems fundamentals.
B.Tech in Computer Science Engineering from P.E.S. College of Engineering, Aurangabad, with a strong foundation in Data Structures & Algorithms, Object-Oriented Programming, Mathematics, and Physics. Former tech team member at Google Developer Student Clubs (GDSC), 2023–24, contributing to community events like Cloud Jam.
A Retrieval-Augmented Generation assistant that answers student questions grounded in real academic material — PYQs and notes — instead of a general-purpose model guessing. Vector search (ChromaDB) retrieves the right context before the model ever answers, cutting down on hallucinated responses.
A support chatbot built for a real blood donation centre — answers common questions on donation eligibility, timings, and location instantly, with an embeddable floating chat widget for the centre's own website and an optional AI fallback for open-ended questions.
A desktop banking application built in Java, applying core object-oriented principles — inheritance, encapsulation, and polymorphism — to handle account management, deposits, withdrawals, and balance-enquiry workflows.
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