Building Scalable AI Systems • Award-Winning Hackathon Competitor • Data Science Researcher
I engineer technology that solves real-world problems. From AI pipelines processing hundreds of thousands of queries in a corporate environment to award-winning full-stack applications built to empower users, I thrive on turning complex challenges into impactful, production-ready solutions.
Currently: Engineering at Bristol Myers Squibb, Researching at Aresty Research Center, and leading at IDIA.
Python • AWS (SageMaker, S3) • MLOps • HuggingFace Transformers • JIRA
- Engineered a production-grade NLP pipeline to analyze and classify 200,000+ internal business queries.
- Impact: Architected a resilient MLOps training system with custom S3 checkpointing, increasing job reliability by an estimated 30% by preventing failures from memory overloads.
- Deployed a fine-tuned BERT model, directly contributing to the company's AI-driven business analytics.
- Note: Code is proprietary and cannot be shared publicly.
Python • Flask • OpenAI API • React • AWS S3 • Docker
- Full-stack application to help medical professionals save time by summarizing patient lab reports, highlighting out-of-normal values.
- AI Core: Leveraged the OpenAI API with custom-engineered prompts to generate accurate, structured summaries.
- Infrastructure: Built a scalable backend with a Flask REST API, containerized with Docker, and used AWS S3 for secure document storage.
- 🏆 Winner - HackRU 2024
- 🔗 View Backend | 🔗 View Frontend
Kotlin • Python • OpenAI Whisper • MongoDB
- Mobile safety app with custom wakeword detection using OpenAI Whisper to anonymously report emergencies and stream audio/video to authorities.
- Innovation: Features an AI-assisted video call to deter threats and securely stores incident data in MongoDB.
- Full-stack integration between a native Android frontend and a Python backend.
- 🏆 Winner - Rutgers IEEE Hackathon 2025
- 🔗 View Frontend | 🔗 View Backend
Python • Flask • SQL • Docker • REST API
- Leading development of a web application to provide researchers with on-demand estimates of bio-fuel production.
- Performance: Designed and implemented a SQL database optimized for scientific data, enhancing data retrieval speeds by 40%.
- DevOps: Containerized the backend API with Docker to simplify deployment and ensure scalability for the research environment.
- Link to repository available upon request.
- 🥇 Winner - HackRU 2024 (DocScribe)
- 🥇 Winner - Rutgers IEEE Hackathon 2025 (PathPal)
- 🥇 Winner - Rutgers Cloud-a-thon 2023 (MonitorPlus)
- 🏢 Software Engineer Intern @ Bristol Myers Squibb
- 🔬 Undergraduate Researcher @ Aresty Research Center
- 👑 Conference Director @ IDIA (Leading 40+ staff, serving 600+ attendees)
AI/ML Engineering • Production NLP pipelines processing 200K+ queries on AWS.
Full-Stack Development • Award-winning applications with React frontends and Python/Flask backends.
Cloud & DevOps • Containerizing services with Docker and architecting reliable systems on AWS.
Leadership • Leading teams of 40+ to execute large-scale events for 600+ attendees.
I'm driven by a passion for solving complex problems and building software that makes a tangible impact. I thrive in collaborative, high-velocity environments where I can take ownership and turn ambitious ideas into reality.
Let's connect if you're:
- Building products that will be used by millions.
- Tackling hard problems in AI, cloud infrastructure, or full-stack development.
- Looking for someone who codes like an engineer and thinks like a product leader.