Rana Suryam
Software Engineering Intern at Google. Skills include C, C++, Type Script, Java Script, Go, Solidity.
Experience
Software Engineering Intern
Enabled Primetime Studio Partners to fully control how their premium content is showcased by expanding the shelf limit from 12 to 20 in You Tube Studio Channel Customization page. Introduced 3 specialized shelf types – ”Movies”, ”Shows” and ”Events” with customizable titles for Primetime Studio Partners in You Tube Studio. Implemented 3 dedicated content tabs – ”Movies”, ”Shows” and ”Events” for specialized shelf curation in Channel Customization within You Tube Studio.
Feature-gated the new shelf customization capabilities behind an experiment flag, for controlled rollout and rollback, achieving 100% unit test coverage across the experiment gating logic. Prototyped a Gemini-powered shelf title recommendation workflow to automate shelf title suggestions for Primetime Studio Partners.
Education
Indian Institute of Technology (Indian School of Mines), Dhanbad
Bachelor of Technology
GPA: 8.46/10.00. Relevant Coursework: Data Structures, Algorithm Design and Analysis (C++), Computer Networks, Operating Systems, Object Oriented Programming.
Skills
CC++TypeScriptJavaScriptGoSolidityPythonHTMLCSSFoundryChainlinkOpenZeppelinRedisDockerNginxGitMERN StackData Structures and AlgorithmsObject Oriented ProgrammingBlockchainCaching
Projects
RateForge
github.com/rana1911/Distributed-Rate-Limiter
Designed a distributed rate limiter in Go supporting token bucket and sliding-window-counter algorithms for controlling API request throughput across horizontally scaled instances. Used atomic Redis Lua scripts for synchronized rate-limit state updates, eliminating race conditions and maintaining consistent request limits across distributed instances.
Decentralized Stablecoin
GitHub Link
Architected an overcollateralized algorithmic stablecoin maintaining a 1:1 USD peg at 200% collateralization and no centralized custody. Integrated Chainlink Price Feeds with a custom staleness-check oracle library, preventing stale-price exploits in on-chain collateral valuation.
Built an automated liquidation engine with 10% incentive bonus and validated core protocol behavior with Foundry unit tests using mocked price feeds.
Technical Skills
Languages: C, C++, Type Script, Java Script, Go, Solidity, Python, HTML, CSS. Technologies: Foundry, Chainlink, Open Zeppelin, Redis, Docker, Nginx, Git, MERN Stack. Concepts: Data Structures and Algorithms, Object Oriented Programming, Blockchain, Decentralized Finance, Algorithmic Stablecoins, Caching, Load Balancing.
Achievements
Meta Hacker Cup 2025 Round 2
Global Rank 1646
Codeforces
rana2406 | Max Rating: 1512
Codechef
rana2406 | Max Rating: 1718
LeetCode
rana 2406 | Max Rating: 1953