Surya Ramesh Email & Phone Number

California, United States

San Francisco, US

Owns the payment infrastructure of a B2B ecommerce startup

Pleasanton, CA, US

• Architected a modular UI component library (similar to Storybook.js) capable of generatingdocumentation and displaying interactive examples built with Javascript, React, and Webpack.
• Replaced existing static documentation used by 100s of developers with the interactive component library application and reduced implementation time by 20% for all future app development.

San Francisco, US

• Launched analytics in ecommerce startup for clients to track metrics like user engagement to decide which products sell better and to track all payments from customers through Stripe.
• Built full-stack app using TypeScript and React (frontend), and GraphQL and Django (backend).
• Optimized hiring by building a custom technical screening application built into the existing app.

Berkeley, US

• Found corporate partnerships to pursue ML development in industry.
• Worked on an industry project with Climate.ai in the development of climate based predictive models for crop yield.

Berkeley, California, US

• Managed the backend team developing cloud services and custom SDKs (REST, Unity, Unreal) fordisplaying in-game ads and tracking 1M+ daily impressions in video games.
• Created targeted advertising methods in JavaScript to boost user engagement with brands by 15%.
• Implemented core frontend features of the client and admin pages using ReactJS, Node, and Redux.

Seattle, WA, US

• Developed full-stack module using Java, JavaScript, and React for Amazon Flex mobile application currently deployed in India to add multiple driver transportation modes for deliveries.
• Collaborated extensively with overseas teams for the app design, development, and deployment.
• Reduced expenses by 30% during peak seasons for third-party delivery services and diversified the delivery provider pool to drive $1.9M in savings.

• Implemented motion planning for autonomous vehicles in a multi-agent environment.
• Utilized PyTorch to develop custom Graph Neural Networks (GNNs).

San Jose, CA, US

• Oversaw analysis of clients’ sales data to improve productivity of sales representatives.
• Built ML infrastructure to analyze the data using classical ML and deep learning techniques implemented in Python and Pandas.
• Increased customer’s sales by∼5% with a model accuracy of∼85%.

• Led a team in the development of an autonomous submarine.
• Used C++ to develop controls and interface with hardware and built underwater object detectors using TensorFlow and OpenCV.
• Increased detection accuracy by 30% and made smooth movement.

Bachelor'S Degree, Computer Science

Education record