Computer Science student at the University of Maryland, College Park (graduating Dec. 2026), working at the intersection of systems engineering and AI research. My stack spans TypeScript, Python, React, PostgreSQL, AWS, and more - from architecting dual-protocol APIs to building multimodal AI pipelines and publishing ML research.
Beyond the keyboard, I'm an avid swimmer, squash player, and music nerd. Endlessly curious - whether it's exploring distributed systems, NLP, or the latest in agentic AI.
Software Engineer - Volunteer Management System Aug. 2025 – Present
Software Engineer Sep. 2025 – Present
Research Intern - Knowledge Graph, NLP & Agentic AI May 2025 – Present
Research Intern - Multimodal Agentic AI Jun. 2025 – Feb. 2026
Classroom Support: Field Tech Team Feb. 2024 – Present
Surveyed and evaluated multimodal agentic frameworks to surface open research gaps by analyzing reasoning capabilities and cross-modal information integration across benchmark performance, scalability, and applicability to real-world multimodal AI tasks. Submitted to Transactions on Machine Learning Research (TMLR); under review.
Built a three-stage ML pipeline (YOLO11 → SAM3 → LoRA-tuned Qwen3-VL-8B with 3-pass adversarial verification) to automatically detect PPE non-compliance, restricted zone breaches, and proximity hazards from low-res dual-camera construction footage, mapping violations to OSHA standards with severity scoring. Built a FastAPI backend and Next.js dashboard with appearance embeddings for persistent worker tracking and automated end-of-shift safety reports.
Automated vendor-bill processing pipeline using OCR & layout-aware models with LLM-based entity extraction and structured database integration for real-time reporting.
Serverless banking system on AWS exploring Lambda, API Gateway, EventBridge, and Amplify CI/CD. Replaced REST calls with Python APIs; documented end-to-end event-driven microservices architecture.
AI-powered dashboard that categorises bank statement transactions by spending type using Llama 3.1, surfacing actionable financial insights.
Always looking for opportunities to work on hard problems - whether in research, engineering, or at the intersection of both. Open to internships, research collaborations, and full-time roles. Let's build something great.
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