About me
Hi, I’m a Computer Science and Data Science graduate from Rutgers University (GPA: 4.0/4.0), currently pursuing my M.S. in Computer Science at Georgia Tech with a specialization in Machine Learning. I’m passionate about building impactful software products and intelligent systems that solve real-world problems at scale.
Over the years, I’ve worked on projects and research spanning machine learning, full-stack development, computer vision, and environmental data analysis. From forecasting solar irradiance using sky images, to detecting refugee settlements from satellite data, to building course planning tools powered by AI — I love combining data, code, and creativity to make things better and faster.
I’ve contributed to marine conservation research through NJEDA’s Wind Institute, co-authored a peer-reviewed paper in Nature Scientific Reports, and engineered full-stack platforms with Flask, React, and MariaDB. I’m also certified as an AWS Developer and have experience deploying scalable apps and APIs using tools like Docker, Kubernetes, and Git.
Beyond coding, I enjoy mentoring hackathon participants, collaborating on cross-functional teams, and refining solutions through code reviews and iterative development.
Feel free to check out my projects on GitHub or connect with me on LinkedIn. I’m always open to interesting ideas, challenging problems, and collaborative opportunities!
What I Do
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Backend Development
Design secure, scalable APIs / services using Flask and Node.js with SQL/NoSQL databases.
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AI/ML Solutions
Build machine learning models using PyTorch and Scikit-learn for tasks like prediction, forecasting, and detection.
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Full-Stack Engineering
Architect end-to-end web applications by integrating frontend UIs with backend logic, handling authentication, routing, and API consumption.
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Cloud & DevOps
Deploy applications on AWS using Docker and CI/CD pipelines; manage cloud infrastructure for production-ready services.
