Gitesh Khanna

About Gitesh Khanna

Backend | Frontend | Machine Learning EngineerWith over 6 years of experience, I specialise in delivering scalable solutions across backend, frontend, and machine learning domains.Backend: At Urban Company, my contributions are primarily in our marketplace fulfilment systems, transforming monolithic architectures into microservices, building intelligent matchmaking solutions, and optimizing partner allocation. My work on peak orchestration tools and fulfillment pipelines scaled service deliveries from 10M to 30M annually while improving operational efficiency and profitability.Frontend: Proficient in React, I led the migration to a micro-frontend architecture, introducing a backend-for-frontend (BFF) layer that enhanced performance and improved user experiences.Machine Learning: At OYO, I developed in-house models that replaced manual ranking systems, driving a 5-6% boost in user engagement through personalized, data-driven solutions. Apart from this, I have been fairly active on forums & also voluntarily mentor as a deep learning specialist at Coursera.org.I\'ve worked across multiple stacks: Node.js, Java SpringBoot, Python - Flask/IPYNB, React, AWS, and the ELK stack, I thrive on solving complex problems and aligning technical solutions with business goals. Let’s connect to create scalable, innovative systems!

Experience

1. Senior Engineer

   Postman

   Feb 2025 — Present · Bengaluru, IN

   Delivering developer productivity to 40M+ users across companies worldwide.Agent Mode:Part of the core team that\'s building Agent Mode at Postman — an AI-assisted experience for discovering, understanding, and executing APIs more efficiently. More on this Completions (Intellisense for Postman API Client):You know the smart dropdown suggestions in your code editor? Built the same intelligence for the Postman API Client- Designed and built the intelligent request completion system for the API Client- Helped significantly reduce time taken to construct valid API requests-~300k users actively use this feature every week- Strong feature retention, with ~25% of users still active by the 3rd week after first use- Focused on improving speed, accuracy, and confidence while working with complex APIs

Education

• St. Kabir Public School, Chandigarh

  Secondary Education

  2000 — 2013

• SGGS Collegiate Public School, Chandigarh

  Higher Secondary(12th CBSE), Non Medical Science

  2013 — 2015

• Thapar Institute of Engineering & Technology

  Bachelor of Technology, Computer Science

  2015 — 2019