A BSc. CSIT student turning computer vision, language and predictive models into dependable systems — and designing the experiences around them.
SCROLL TO ENTERFROM MODEL TO MOMENT
Across computer vision, natural language and structured data, I train systems to find useful patterns in complexity.
91.5% validation accuracy
I care about the path after training: interfaces, live data flows and product choices that turn a prediction into something people can act on.
From local inferenceFive projects across computer vision, NLP, predictive modeling and product engineering — each grounded in a real outcome.
An end-to-end deep-learning image classifier trained and validated on the HAM10000 dataset.
An NLP classifier that turns unstructured language into reliable sentiment labels with balanced predictive performance.
A supervised-learning system for identifying customers at risk of leaving through structured-data preparation and evaluation.
A real-time computer-vision system trained on more than 500 custom images for recognition from a live camera feed.
A complete event platform with countdown, galleries, sponsor showcases, notifications and an admin panel.
Theory in class. Proof in the wild.
I study BSc. CSIT at Sushma Godawari College and build across machine learning, computer vision, NLP and the web. My work spans measured ML experiments and a production-minded event platform for the Godawari IT Club.
Beyond code, I serve as Treasurer of the Godawari IT Club — working across documentation, committee structure, sponsorship outreach and events.
Built across local ML workflows, modern web tooling and the Linux environment where they meet.
06 / JOURNEY
Studying at Sushma Godawari College under Tribhuvan University, with a growing specialization in machine learning engineering.
Serving as Treasurer; helped document the annual transition that expanded the executive committee from 7 to 9 members, advanced ranks and introduced Vice-Coordinator and Vice-Secretary roles.
Organized Godawari IntraHack 1.0 and participated in XHack 3.0, Taranga and IIC Quest 3.0; completed DeepLearning.AI coursework in neural networks and supervised learning plus multiple DataCamp courses.
Whether it lives in data, vision or the web, I’m interested in making it real.