Explore all my projects and their details
Designed and implemented an AI solution using Multiscale Conditional Adversarial Network (MCAN) and subpixel optimization for oil spill detection from Synthetic aperture radar (SAR) imagery aiding environmental protection and emergency response.
Conceptualized and built an end-to-end ML workflow on AWS to forecast airport visibility hourly using SageMaker DeepAR models (NWP). Attained 92% accuracy in predicting visibility using DeepAR (Auto Regressive model) after evaluating and comparing various models including LSTM, ARIMA, and others
Formulated a generalized machine learning model using DGMR to predict probabilities of high-impact weather events and ocean disasters within a 5 to 72-minute timeframe (nowcasting).
Pioneered an AI system using a hydrological model (LSTM) on GloFAS data to predict and visualize high flood-risk areas. Integrated real-time IoT sensor data to forecast flood levels and built interactive maps and apps to alert in case of flood hazards.
Developed a scalable Fully Homomorphic Encryption (FHE) pipeline that allows for model inference on encrypted data without the need for decryption.
Created a modular, role-based design enhanced by validation logic, authentication, notifications, dashboard views, and cloud deployment to create a user-friendly yet secure system.
Led the technology efforts as Web Lead for the Nutpam 2022 tech fest, the annual symposium at Sairam Institute of Technology.Developed the website project end-to-end, including planning, designing, developing, and launching the responsive website with a performance score of 94% from Google PageSpeed Insights
Orchestrated end-to-end web development and IT efforts as Chief Web Developer for Nutpam with a team of developers to swiftly build and deploy the visually appealing, responsive website for the tech conference and achieved a page-load speed of 53 milliseconds.