Last summer I shipped an internal IDE system prompt, a sprint scorecard extension for Azure DevOps, and automated pipelines at Mesh Systems. At Purdue this year, I've built production AWS infrastructure, RAG systems, and an LLM microservice for senior design. Outside of class, I'm working on my own AI assistant framework and this portfolio.
Featured Projects
AI System Prompt Framework
OpenAI APICo-developed master IDE prompt standardizing AI-assisted coding workflows across engineering teams. Co-led company-wide training sessions and established AI standards.
MY-AI Personal Assistant
PythonPrivacy-first AI system with RAG and tool integration. Local-first architecture with Qdrant vector storage and extensible tool framework. Building the AI assistant I want to use.
SimRAG Reproduction
PythonDeep dive into similarity-based RAG techniques. Built a modular implementation supporting local and cloud LLMs to understand retrieval fundamentals and fine-tuning beyond what was required.
Azure DevOps Scorecard
ReactReal-time sprint dashboard extension for Azure DevOps. Built the React/Node.js application from mockups to production at Mesh Systems, giving teams instant visibility into sprint health and status.
Currently
- ●Software Engineering Intern at Mesh Systems
- ●Iterating on the azure devops scorecard project
- ●Building passion projects to expand my knowledge and skills
- ●Senior in Computer Engineering at Purdue University