- Designed and deployed a production-ready RAG-based AI service using Spring Boot, LangChain4j,and a vector store to automate complex telecom tasks, doubling our operations team's efficiency and saving 40+ hours/week.

- Built multiple REST APIs and integrated with OpenAI LLMs, MCP servers, and AWS Secrets Manager.

- Wrote Ansible and Cronjob scripts to manage VM log cleanup, executing SQL migrations with Flyway.

- Delivered domain-wide demos and technical deep dives on distributed systems, vector databases, and AI.

- This is my market scanner project in which I scan and analyze crypto and stock data from multiple API's and show them in a visually appealing way.

- With this website users can quickly analyze and absorb the status of the crypto and stock market without maneuvering through excess ads and unnecessary information.

- In a team of four, competed in a semester-long competition aimed at developing an optimized packaged software solution for a client's gymnastics coaching business.

- Our software makes it significantly easier for gym coaches to tailor and create specific lesson plans for their players by providing a platform to automate the configuration and design of lesson plans.

- After winning and being chosen for a private contract, our ongoing development tasks consist of weekly meetings with our client, redesign of features, implementation of new features client desires, and debugging.

- In a team of three, developed an AI-powered fitness tracker mobile app utilizing a Node.js backend written in TypeScript with a Supabase database for user data, alongside a Flutter frontend.

- Engineered and trained an AI chatbot using the OpenAI API to serve as a personalized fitness advisor, implementing custom prompts and dynamic variable integration for precise user interaction and tailored recommendations.