About Me
I'm a software engineer focused on Applied AI and full-stack development, interested in building software systems that solve real-world problems. I enjoy turning AI models into real, usable products and bridging the gap between research and practical applications.
My experience includes AI research on indoor navigation for visually impaired users and building interactive systems that teach sustainable farming through aquaponics.
I'm curious, detail-oriented, and driven by impact. I value a growth mindset and am always looking to learn, improve, and explore new technologies.
Education & Skills
Virginia Tech
Blacksburg, VA
Bachelor of Science in Computer Science
Dec 2025
Languages
Frameworks
Libraries
Developer Tools
Experience
May 2026 – Present
Software Engineer
South Asian Business Council Of Virginia
- ›Architected an AI admin platform with RAG and 4-agent orchestration in LangGraph to automate workflows
- ›Built a RAG pipeline with LangChain and Pinecone across 100+ internal documents, reducing search time by 70%
- ›Developed agents for meeting summaries, email drafting, and social media content generation, saving 5+ hrs/week
Aug – Dec 2025
Software Engineer
Virginia Tech Visionarium Lab
- ›Developed RESTful backend APIs using Node.js and Express.js for an aquaponics app, serving data to frontend
- ›Optimized PostgreSQL database schemas with normalization and indexing, reducing query response time by 15%
- ›Implemented automated API tests using Jest, achieving 95% endpoint coverage and improving backend reliability
Jan – Aug 2025
Machine Learning Research Assistant
Virginia Tech CS
- ›Improved indoor obstacle-detection reliability by 25% in complex environments by fine-tuning a YOLOv12 object detection model in PyTorch, achieving a 12% increase in precision and 21% improvement in recall
- ›Built SmartGuide, a real-time computer vision pipeline achieving 60ms inference latency on obstacle detection, leveraging depth estimation for spatial awareness in navigation
- ›Collected and cleaned a 10,000-image indoor dataset covering 12 obstacle classes, improving model generalization and cutting false negatives by 15% during real-world testing
Aug – Dec 2025
Undergraduate Teaching Assistant
Virginia Tech CS
- ›Supported 100+ students to learn database concepts, including ER modeling, relational design, and SQL querying
- ›Led discussions and debugging sessions to resolve SQL and database management issues
- ›Guided students through complex database design and implementation challenges during office hours
Jan 2024 – Sep 2025
SWAT Technician
Virginia Tech College of Engineering
- ›Resolved 200+ software issues for faculty and students, ensuring high system uptime
- ›Used ServiceNow to handle IT tickets with a 95%+ resolution rate for network and OS problems
- ›Improved troubleshooting workflows, reducing recurring software-related tickets by 20%