Vinay Sagar
Winter Internship @ Indian Institute of Technology Hyderabad
About
As a B.Tech candidate in Computer Science and Engineering at IIIT Nagpur, contributed to IIT Hyderabad as a Deep Learning Intern by redesigning ML workflows with HuggingFace for scalable automation. Designed a deep learning pipeline for data preprocessing and deployed a real-time inference model using WebSockets for live video feed processing. Previously at Rapen Technologies, enabled secure API development with Node.js/Express.js and drove a 40% performance enhancement through cloud migration and caching optimization. Proficient in Flask, WebSocket, and OpenCV, with a focus on bridging innovative technologies with impactful applications.
India
Mathura
Computer Software
Redis, Docker , Docker compos, Golang, Gin, PostgreSQL, Project Management, Project Planning, Next.js, Application Programming Interfaces (API), AWS Lambda, Amazon Web Services (AWS), Machine Learning, Flask, WebSocket, OpenCV, HuggingFace, Docker, TensorFlow, Node.js
Experience

Winter Internship
Hyderabad, Telangana, India
Worked on migrating ML workflows to Huggingface, enabling automated scalability based on workload demands and improving the logging and troubleshooting capabilities. Designed and implemented a deep learning model pipeline to preprocess data and deployed the model on HuggingFace, enabling efficient inference. Integrated WebSockets to capture frames from a live video feed for real-time pro-cessing.

Backend Developer Intern
Rapen Technologies
Hyderabad, Telangana, India
Developed RESTful APIs using Node.js/Express.js, integrating JWT authentication and role-based access control to enhance security. Improved application performance by 40% through migration to Google Cloud Storage and server-side caching. Created interactive API documentation with Swagger UI, reducing frontend integration time by 30%. Led an API standardization initiative, enforcing best practices via code reviews and ESLint rules across multiple service
Vinay Sagar's Contact Information
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