Skills: Flutter · Dart · React · Node.js · Python · HTML · CSS · Javascript
Skills: HTML · CSS · JavaScript · React · Figma
Skills: Figma · Flutter · Dart · MongoDB
Skills: Machine Learning · CNNs · Feature Engineering · Django · Flask · Git
My contribution: Led the end-to-end development of a robust analytical framework for processing and interpreting 96,000+ FDA recall records, uncovering significant temporal and categorical risk patterns that had direct implications for public health strategy. Designed and built interactive Altair dashboards that enabled stakeholders to dynamically explore recall severity and product-specific trends, shaping priorities for future risk monitoring and predictive modeling efforts. Played a critical role in bridging complex data analysis with strategic decision-making, establishing a foundation for scalable, ML-driven forecasting systems.
Tech Stack: Python · Altair · NumPy · Data Analysis · Pandas · Git
My contribution: Engineered the full-stack user authentication system, including secure login, registration, and email verification workflows. Integrated bcrypt for password hashing and configured sandbox email delivery through MailTrap to ensure safe and testable user communication. Built a comprehensive admin panel enabling privileged access to user account management, progress monitoring, and level editing capabilities. Ensured data integrity and access control across key workflows, contributing to both usability and security of the platform.
Tech Stack: Node.js · Express.js · Unity · EJS · nodemailer · MongoDB · bcrypt
My contribution: Designed and implemented a novel audio generation framework (AADG) leveraging large language models and text-to-audio pipelines to simulate realistic environmental scenarios for audio anomaly detection and localization. Led the expansion of training datasets beyond industrial settings, enabling model generalization to diverse, real-world audio domains such as telephony and multimedia. Built a modular, scalable system with rigorous validation workflows, significantly enhancing the robustness of anomaly detection models under out-of-distribution conditions.
Tech Stack: Python · Machine Learning
A flood-aware real estate assessment platform designed for Nepal, integrating geospatial and hydrological data to identify flood-prone zones and inform safer property decisions. The system enables users to browse, list, and evaluate properties with flood risk scores derived from climate, drainage, and urbanization data. Featuring a dual user model (owners and guests), it supports informed housing choices while promoting disaster resilience and sustainable urban development.
Tech Stack: Next.js · Tailwind CSS · Material UI (MUI) · MSSQL · Azure SQL · Node.js · JavaScript · HTML · CSS

GPA: 3.94
Relevant Coursework:
Activities and societies:
SCIGSO, ANKUR: Indian Graduate Student Organisation

Relevant Coursework:
Activities and societies:
Organiser: ANKURAM (Department Fest)