• Implemented and fine-tuned retrieval-augmented generation (RAG) pipelines, improving response accuracy by 15%

• Developed secure AI web tools with Node.js, React, and Azure AI, streamlining workflows for 500+ users across 7 departments

• Spearheaded an Azure DevOps cloud deployment pipeline, reducing time-to-production and cutting operational costs by 11%

• Designed role-based access controls and multi-tenant architecture, enabling safe collaboration between research teams

• Guided project teams through the MERN (MongoDB, Express, React, Node.js) stack software development process

• Supported teammates by providing technical tutorials, debugging code, and resolving team conflicts

• Facilitated productive teamwork by assigning user stories, establishing milestones, and employing project management tools

• Spearheaded application process and structure of a quarterly software project program with 400+ participants

• Hosted meetings with other event coordinators to constantly improve experience in social events and live project showcases

• Designed experiments comparing human cognition and LLM-generated responses using 10K+ EEG and eye-tracking data points

• Developed Python-based ML pipelines achieving 88% classification accuracy on neural state prediction tasks

• Built interactive data visualization dashboards to monitor experiments in real-time and present findings

• Co-authored peer-reviewed publication on EEG + LLM integration, contributing to ongoing AI and neuroscience research

• Built a full-stack, LLM-powered document query platform, enabling enterprises to process 100K+ documents

• Integrated OCR + NLP pipelines for mixed-format text and images using LangChain and powerful AI libraries in Python

• Deployed containerized microservices via Kubernetes and optimized PostgreSQL queries, improving API response times by 25%

• Implemented JWT-based authentication and workspace partitioning, supporting multi-client environments without data leaks