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rajatsinghchauhan/README.md

Rajat Singh

Software Engineer | Backend & Systems | DSA | CS Fundamentals

Email Portfolio LinkedIn LeetCode GitHub

๐Ÿ‘จโ€๐Ÿ’ป About Me

Hi, Iโ€™m Rajat Singh, a Software Engineer passionate about building scalable backend systems and product engineering in 0 โ†’ 100 journeys.

Iโ€™ve worked across enterprise and high-scale product teams, including Alteryx, Zscaler, Wingify, and Travel Creators, and Iโ€™m now starting my next chapter at DataHub (India) as an early engineering hire.

I enjoy solving engineering problems around:

  • Backend systems & APIs
  • Performance optimization & caching
  • Workflow engines / execution layers
  • Strong fundamentals in DSA + Core CS (OS, DBMS, CN)

๐Ÿ’ผ Experience

  • Software Engineer @ DataHub (2025 - Present)

    • Joined DataHub India as the 4th Engineering Hire, working in a fast-paced startup-style product engineering environment.
    • Contributing to the 0 โ†’ 100 journey, owning features end-to-end with a focus on execution, quality, and scalability.
    • Tech Stack: Python, FastAPI
  • Software Engineer @ Alteryx, Inc. (October 2024 - January 2026)

    • CDFs Generation: Worked on development of a middle layer in Alteryx Cloud to translate workflow XMLs into CDFs, an internal SQL-like language, ensuring compatibility across various data engines like Databricks, Snowflake and impacting 50+ B2B customers.
    • Dynamic Tools: Enhanced the grammar of an internal tooling language to support dynamic, data-reactive features (e.g., wildcard builder, except, replace), enabling 6+ new Alteryx Designer Cloud tools with advanced reasoning capabilities.
    • Browser level Caching: Implemented browser-level caching with DuckDB, cutting execution time from 4000ms to 300ms, designed multiple cache-deletion strategies (LRU, hard refresh, and custom) to ensure data freshness and reliability.
    • 4x Alteryx Hackathon Winner: Won 4 consecutive Innovation Day hackathons in the last three quarters, delivering impactful POCs in AI-driven workflows, large-scale anomaly detection, and ML-powered log debugging.
    • Tech Stack: TypeScript, Node.js, Python
  • Software Development Intern @ Zscaler, Inc. (April 2024 - September 2024)

    • Worked on latency-based server swapping for Zscaler Client Connector, used by over 40 million users.
    • Implemented Remote Desktop Protocol (RDP) Support via Zscaler Private Access, impacting 5M+ internet transactions daily.
    • Reduced infrastructure costs by creating a local environment using VirtualBox.
  • Software Engineering Intern @ Wingify (December 2023 - March 2024)

    • Worked on an in-house Content Delivery Network (CDN) serving 10k+ requests per second per node.
    • Optimized legacy code by 20% and implemented data residency using Bloom filters, benefiting 8k+ B2B customers.
  • Software Engineering Intern @ Travel Creators (January 2023 - April 2023)

    • Integrated third-party payouts via Stripe Connect, automating payment transfers for creators.
    • Built the backend for Trips and Creator sections, impacting 10,000 active users.
  • C++ Instructor @ Synergy Classes (February 2021 - September 2021)

    • Taught over 1200 students in C++ and Data Structures and Algorithms, mentoring them through 300+ DSA problems.

๐Ÿ› ๏ธ Technical Skills

  • Languages: C++, Python, Java, Typescript, C, HTML, CSS, SQL, GraphQL
  • Frameworks & Libraries: SprinBoot, Node.js, Express.js
  • Databases: MongoDB, MySQL
  • Developer Tools: Git, AWS EC2, Github, RestAPI, VS Code, GCS

๐Ÿ† Achievements

  • Qualified GATEโ€™23 with AIR 5k among 76k Candidates.
  • Codeforces Specialist and Codechef 4-star coder.
  • Secured 566th rank in Codechefโ€™s Div-2 Rated April Coding challenge out of 6500+ participants.
  • Solved 700+ Data Structure and Algorithm problems across various coding platforms.

๐Ÿ“š Projects

  • Dukaan: A Full-Fledged E-commerce Store

    • Developed a full-stack web app using React.js, Node.js, Express.js, and MongoDB.
    • Implemented 10+ features like order placement, product reviews, JWT authentication, and Stripe payments.
  • Reinforcement Learning for Cognitive Radio Applications

    • Implemented Multiplayer Multi-armed Bandit Algorithm in a cognitive radio system.
    • Published and presented at the 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI).

Feel free to connect with me or explore my work on GitHub. I'm always open to collaboration and learning opportunities!

Pinned Loading

  1. rajatsinghchauhan.github.io rajatsinghchauhan.github.io Public

    Portfolio

    HTML

  2. mern-project mern-project Public

    JavaScript

  3. ASK_IIITM-frontend ASK_IIITM-frontend Public

    Forked from Sarthakjain211001/ASK_IIITM-frontend

    JavaScript 1

  4. Ask_IIITM-api Ask_IIITM-api Public

    Forked from Prateeknandle/Ask_IIITM-api

    JavaScript