I'm a dedicated Software Engineer with experience designing and building robust, scalable web applications and backend systems. My expertise lies in leveraging modern technologies like Python, Flask, Node.js, Java, and Spring Boot to create efficient solutions.
I focus on writing clean, maintainable code, ensuring high performance, and delivering solutions that meet real-world needs.
University at Buffalo, The State University of New York
August 2023 - January 2025
Building scalable web applications and microservices
Worked with including CVS Health and Rubixe
Completed across diverse domains and technologies
Designed RESTful APIs with Spring Boot, reducing latency by 20%, and developed responsive React.js UIs that improved engagement by 15%. Deployed scalable services on AWS using Docker and Kubernetes, with CI/CD pipelines via GitHub Actions to cut release cycles by 30%. Proficient in Agile, JIRA, and system monitoring with ElasticSearch and Grafana.
Developed full-stack applications using the MERN stack, improving performance by 25%. Built responsive UIs with React.js and Redux, and implemented secure APIs with Node.js and Express.js. Integrated MongoDB for efficient data handling and collaborated with cross-functional teams to deliver high-quality solutions on time.
Built real-time financial dashboards with React and Redux, enabling dynamic data visualization. Developed Spring Boot microservices for payment workflows with high availability and integrated secure APIs using Spring Security and JWT.
An intelligent healthcare chatbot leveraging Retrieval-Augmented Generation (RAG) to provide accurate, document-grounded answers to medical queries. Integrates LLMs (GPT-4, LLaMA 3) with FAISS vector search for precise, context-aware responses, demonstrating advanced AI application and full-stack development.
A full-stack, responsive grocery delivery application built with React and Supabase. Features a clean UI, robust authentication, intelligent shopping cart with unit conversion, and a comprehensive admin dashboard for inventory and order management, showcasing modern web development practices.
A secure, role-based medical record management system developed with Spring Boot and React. Allows healthcare professionals to manage patient profiles, detailed visit histories, symptoms, and prescriptions, emphasizing secure JWT authentication, data privacy, and a well-structured backend API.
An intelligent healthcare chatbot designed to provide accurate, trustworthy answers to medical questions by grounding Large Language Model (LLM) responses in real medical documents. This project showcases the practical application of advanced AI techniques like Retrieval-Augmented Generation (RAG) within a full-stack web application.
openai library, Groq LLaMA 3 via requests) to generate answers based on the retrieved context, offering flexibility in model choice.A modern, full-stack grocery delivery application built with React and Supabase. Designed to provide a seamless shopping experience with features for both customers and administrators, demonstrating proficiency in building scalable, user-centric web applications with robust backend services.
A secure medical record management system designed for clinics and hospitals. It provides a centralized digital platform for managing patient data, visit histories, symptoms, and prescriptions, emphasizing data security, integrity, and role-based access control essential for healthcare applications.
Looking for a skilled developer or have a project in mind? Feel free to reach out!