Core Platform and Engineering Experience

Building iOS apps

Building tools for other students and working on full-stack web apps using TypeScript, Go, and NextJS.

Intelligent Robotics and Vision Lab at the University of Texas at Dallas Multimodal Learning with Professor Yu Xiang∗ Developed deep learning models for object detection, involving using convolutional neural networks(CNNs) to extract features from images and videos∗ Implemented Point Cloud and Voxel methods for data augmentation and regularization along withutilizing Python for automated scripts for big data analysis reducing time taken to process video data by 70%∗ Worked on pipelining hand-to-object detection algorithm in Multimodal Learning using KNN models,Principal Component Analysis, and KD-Trees for object segmentation

Full-Stack web development, Pipeline Integration, backend RestAPIs, and custom integration testing.∗ Worked on the migration of monolithic legacy code to a micro-service architecture, leveraging Kubernetes and Docker for container orchestration, resulting in a 30% improvement in system scalability and a 20% reduction in infrastructure costs∗ Helped in the implementation of OAuth 2.0 authentication and JWT tokenization to enhance security inRESTful API endpoints, ensuring compliance with industry-standard security protocols and mitigatingpotential vulnerabilities by 90% through client feedback∗ Worked with TCP and IPv6 for routing protocols involved in backend server and API gateways whichinvolved working with the Application and Network layers in order to increase the communication speedbetween hardware by 40%Utilized Java, ReactJS, Postgres, and Docker to work on a B2B full-stack application.

Summer research in object detection and guidance using Point Cloud and VoxelNet under Professor Vibhav Gogate