Resume

Extended resume with full project history here ↓. Compact PDF version here →

Work

Founding Engineer – Authentic (Aug 2025 – Present) | Seoul, SK | NYC, US
  • Owned architecture of the core backend, designing secure ephemeral content flows and cache-backed consistency mechanisms that reduced API latency and enabled encrypted sharing at scale.
  • Shipped cross-platform mobile app from beta through iOS and Android store launches, owning the full deployment and monitoring pipeline.
AI Research Engineer Intern – h011yw00d (May 2025 – Aug 2025) | SF, US
  • Designed distributed computing layer for video generative AI, decoupling from monolithic stack for production-scale deployment.
  • Launched as World-Mini app to 10M+ impressions and 60k users in first month; currently ranked top 10 of 5,000 apps.
  • Shipped full-stack video platform handling 900+ concurrent jobs, reducing DB writes 70% and achieving 3× faster load times.
  • Owned deployment and reliability of 40+ production microservices, maintaining 99.9% uptime through rate-limiting, circuit breakers, and monitoring.
AI Product Engineer – YourMove.AI (Apr 2025 – May 2025) | NYC, US
  • Built user engagement tools including date-ideas generator, dating coach, and zodiac-compatibility analyzer, generating 300k+ views site-wide through organic marketing and growth hacking.
  • Improved core product using Node.js, React.Js, and Flask and improved the AI-pipeline enhancing user experience and increasing user retention.
Product Engineer – DatingAI (July 2024 – Aug 2024), | BLR, IN
  • Led infrastructure modernization using Node.js and Next.js, improving API throttling by 15%, reducing service outages by 60%, and enhancing overall engine reliability through cross-team coordination.
  • Designed and developed multi-platform integration strategy with Telegram & Discord bots, expanding user reach and increasing total active users by 50% while maintaining consistent user experience.
Software Engineer – RadiusAI (Jan 2024 – Aug 2024) | Seattle, US | BLR, IN
  • Migrated to Rust from Python implementing a Kafka-based monitoring service to meet latency SLAs, achieving 30% lower p99 under production load.
  • Led cart simulator optimization with parallelism, enabling 2× faster checkouts across deployments.
  • Drove automation of database operations via AWS Lambda/Prefect, maintaining 99%+ data consistency across distributed systems.
  • Built Rust-native anomaly detection tooling and Gradio dashboards, reducing annotation errors 30% and improving ML training accuracy.
Founding Engineer – StackIt (Superjoin) (June 2023 – Dec 2023) | BLR, IN
  • Owned infrastructure from day one, shipping a Docker/Kubernetes microservices ecosystem with 99.9% uptime; integrated Chargebee, Hubspot, and Google Ads to drive early user acquisition.
  • Engineered interactive data preview in React with filtering, joins, and lookups—improving visualization by 40% and cutting import errors.
  • Productionized RAG pipelines (LangChain, LlamaIndex) for natural language to SQL conversion, achieving 90% query accuracy and reducing user churn.
Software Developer Intern – Squbix Digital (June 2022 – Dec 2022) | BBI, IN
  • Optimized the DID pallet in Rust & Substrate on Polkadot, implementing efficient on-chain storage patterns that reduced error rates by 30% while migrating the JS SDK to TypeScript to improve type safety.
  • Developed backend APIs in Node.js, resolved over 60% of user-centric issues, and implemented offline storage and push notifications for improved mobile application reliability.
  • Built a Chrome extension for wallet transactions that solved over 90% of legacy user issues, using Mocha for comprehensive unit testing and quality assurance.

Projects

  • Fourier Series Analysis – A Fourier transform visualizer built with JavaScript, allowing users to interactively explore signal transformations by image retracing using epicycles with Fourier approximation (2025)
  • Fireside (W3bChat v2) – A decentralized chat app built with GunJS, Svelte, Rust & Firebase enabling low-latency, secure, and ephemeral messaging with close to 100k impressions at launch. (Live Demo). (2025)
  • Orion – A motion detector detecting precise muscle movements using EMG sensors to simulate mouse clicks and keyboard strokes. (2025)
  • Ferry – A minimal C compiler for RISC-V written in Rust featuring a custom IR and optimiser. (2025)
  • Lind (Open Source) – An isolated, single-process sandbox to securely execute programs with fine-grained resource control to prevent system failures, built with Rust and WASM. (2025)
  • Pixlr – A SVG/PNG to pixel art converter in Rust with optimized image processing algorithms. (2024)
  • Barney – An efficient machine code instruction encoder/decoder for RISC-V in TypeScript. (2024)
  • Game of Life – A deep dive into finite state machines using Conway’s Game of Life in JavaScript, culminating in building a CPU with the same fundamentals. (2024)
  • Yatch – A five-stage, hazard & memory-safe pipelined 32-bit RISC-V machine code interpreter in C++, with a built-in RISC-V binary decoder. (2024)
  • Dough – A high-performance CLI presentation tool in Rust that renders markdown files as slides with custom syntax highlighting and efficient text processing. (2024)
  • Qtree – A demonstration of image compression and decompression using quadtrees, inspired by KoalasToTheMax (Live Demo). (2023)
  • RESOC – A college resource-sharing platform built with React & Firebase, offering taskboards and community chat. Achieved 200+ active users in 3 months. (2023)
  • Explored – A ThreeJS globe inspired by GitHub’s homepage, complete with lighting and shading (Live). (2023)
  • Nice Dear – A library to generate random avatars (Dicebear-spoof). (2023)
  • zuzu – A static site generator in JavaScript (Live Demo). (2022)
  • Rokio – A multi-client chat server in Rust using Tokio for asynchronous concurrency. (2022)
  • Depression Detector – A TF/IDF-based sentiment analysis model detecting depression in tweets. (2022)
  • Bee – A custom BitTorrent client with an item-based collaborative recommendation system using cosine similarity and a rating prediction system achieving 95% accuracy. (2021)
  • Marks Predictor – Predicts student marks based on hours studied using Linear Regression and Gradient Descent. (2021)
  • Movie Recommendation System – An item-based collaborative recommendation engine using Cosine Similarity and Naive Bayes for rating prediction based on review text. (2021)

Clubs/ Activities/ Debates

Education

  • MS in Computer Engineering – New York University, Tandon School of Engineering (Sep 2024 – Expected Dec 2025)
  • B.Tech in Computer Science & Engineering – Silicon Institute of Technology, Bhubaneswar (2019 – 2023)

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