Full-Stack Developer and Master of Computer Applications (MCA) student at IGNOU, exploring computer vision and machine learning through hands-on prototypes, write-ups and demos.
I work as a full-stack developer, building web applications and APIs with React, Next.js, Node.js and MongoDB. From clean code to deployment, I've enjoyed the engineering side deeply.
Curiosity about how software can see and interpret images led me to computer vision, which I now explore alongside an MCA at IGNOU, learning to design small experiments and read their results honestly.
My current projects are a modular face detection and recognition prototype in Python, object detection that runs entirely in the browser with TensorFlow.js, and write-ups on classical techniques such as Viola–Jones detection and PCA.
I approach research with an engineering mindset: clean implementations, documented experiments, and code others can run. This portfolio is my research notebook.
Learning to read papers critically, design experiments that answer specific questions, and communicate findings clearly. Also learning when to dive deep into theory versus building quickly and iterating.
Drawn to the space between learning the theory and shipping working code, and to connecting models with real web applications. Long-term: contributing to R&D work that values rigor and pragmatism.
Research should be accessible and reproducible. I write code I'd want to inherit. Clarity over cleverness. Honest documentation over inflated claims.
This portfolio isn't a curated highlight reel—it's a living record of learning, experiments, and evolving questions guiding my work.
Detection and matching in images
Detection, enrollment and matching
Pretrained models in practice
Preprocessing and features
Working as a full-stack developer while pursuing an MCA. On the research side: extending the face recognition prototype, running more models in the browser, and writing up what each experiment shows, including where it falls short.
A chronological overview of my education, work experience, and the personal projects that started my path into computer vision and machine learning.
Full-time remote role building the ARR DMRV platform for monitoring, reporting and verifying carbon-credit projects.
Building full-stack web applications with React, Next.js, Node.js and MongoDB, from interface to API and deployment.
Pursuing an MCA alongside full-time work, covering software development and computer science fundamentals, with self-directed projects in computer vision and machine learning.
Built and maintained pages for visa application workflows using HTML, CSS, JavaScript, PHP and MySQL.
Built a personal portfolio with Next.js and, alongside it, started hands-on computer vision experiments in Python and in the browser.
Completed a BCA focused on web development, programming and software engineering, building academic and personal projects along the way.