Software Engineer passionate about Machine Learning and AI. Problem solver, and always ready to Learn & grow.
Let's Connect Download ResumeEngineered and deployed a scalable FastAPI-based client and server system for a Model Context Protocol (MCP) project. Improved system adaptability and cost-efficiency by replacing a proprietary Claude API with an open-source Mistral LLM and integrating local LLMs. Demonstrated expertise in building robust and scalable AI applications by implementing a multi-server setup and deploying the solution.
Worked on multiple full-stack Rails applications, contributed to backend models and user authentication logic. Developed a capstone project — a robust Library Management System — integrating role-based access and CRUD functionality.
Built machine learning models achieving over 90% accuracy on real-world datasets, mentored peer interns, and earned Microsoft Azure AI certification. Projects involved data preprocessing, model training, and deploying ML solutions for academic and business scenarios.
Developed an HR automation application to automatically grant leave requests and manage employee time logs. I also developed and implemented a multi-server, local LLM-powered Model-Context Protocol (MCP).
Designed a voice-enabled AI assistant using Flask, GPT, and ElevenLabs. Supported multilingual input/output and real-time interactions, enhancing customer support automation.
View on GitHubA web app built with Ruby on Rails offering role-based access, book issuance, returns, and admin dashboard for streamlined library operations.
View on GitHubUtilized RNN models and Streamlit to create a smart crop recommendation system based on NPK levels in soil. Aimed at improving agricultural yield.
View on GitHubDeveloped an LSTM-based predictor that visualizes and forecasts stock prices with high accuracy using historical data trends.
View on GitHubImplemented a classification system using TF-IDF and Passive Aggressive Classifier to detect and flag fake news articles with precision.
View on GitHub