Nimish Santhosh Email & Phone Number

Chennai, TN, IN

• Responsible for the development of the entire stack for LiveDuel, which is a decentralized sports prediction market backed by Lead and Techstars. I worked closely with my CEO, initially as the only member of the.
• Built the frontend(NextJS), backend, services, sdk(ethers) and other internal tools for the company.
• Customized smart contracts(solidity) to fit the company's needs. Added layers of security and control to the contracts.
• Designed the architecture to accommodate a large volume of trading and real-time price updates on charts.
• Dockerized the stack for rapid development cycles and easy onboarding. New teammates were able to start working on tickets within a couple of days of joining.
• Managed the deployment using AWS EKS & Kubernetes. Analyzed usage through load testing and brought down costs by 70% compared to earlier stages.

• Worked on reinforcement learning research projects and was responsible for managing the Flatland challenge on the platform. Also responsible for another product called Blitz Weekly, where we released unique challenges.
• Built modules and designed the architecture for the challenges that accommodated anywhere from 300 to 1500 users per challenge and around 5000 submissions on average for each challenge
• Created evaluation containers that would assess users’ submissions. Submission flow was automated with GitLab CI/CD. This improvement saw a massive increase in submissions (around 10-15x) as it involved very little.
• Gained extensive experience working with AWS and managing all the resources and infrastructure required for deploying entire applications and achieving end-to-end automation.

Chennai, Tamil Nadu, India

Chennai, Tamil Nadu, India

• Hippo Video was an AI driven video platform that provided tools to create videos for sales and marketing. It was a relatively bigger company than the other ones I worked at, I worked with the ML team which was.
• Designed the backend and utilized AWS resources to dynamically scale based on active jobs and users using the ML models. Containerized jobs/tasks run on demand and can accommodate any number of users.

Chennai, Tamil Nadu, India

• Verwin was a job portal forindividuals who needed assistance during theirjob search. The company was being set up during my internship.
• Primary work on the backend involved setting up routes for access to MongoDB, configuring authentication with Passport.js and integrating Elasticsearch for a better searching experience based on titles, keywords, and.
• Worked on integrating the backend with the React web app.
• Got exposed to the thought process behind designing an architecture that scales. The company grew to accommodate around 17,000 users before eventually shutting down operations.