Raunak Khithani

Software Engineer @ KLA | Master of Science, Computer Science | Passed CFA Exam Level 1

United States

About

Software development engineer at Amazon, currently working on the Packaging Decision Engine to solve complex logistics challenges at scale. My focus is on developing robust, high-impact systems that optimize operational efficiency, sustainability, and user experience. My background includes diverse technical roles across major organizations and startups, where I’ve enjoyed streamlining processes, automating decision-making, and driving measurable results. I have a passion for problem-solving and system architecture, with hands-on experience in C++, Python, Java, C#, and distributed systems. Outside of core engineering, I bring an analytical perspective from having cleared the CFA Level 1 exam, and value collaborative teamwork and continuous learning. I’m motivated by opportunities that blend technology and real-world business impact.

Experience

  • Software Engineer at KLA
    Jan 2026 - Present · 7 mos

    EBeam | MainUI

  • Software Development Engineer at Amazon
    Jul 2025 - Jan 2026 · 7 mos

    Mechatronics & Sustainable Packaging | Packaging Decision Engine

  • Software Intern at KLA
    May 2024 - Dec 2024 · 8 mos

    Developed a micro service manager tool to restrict resources and help in version-specific deployment.

  • Senior Application Developer at Innovatily
    Dec 2022 - Jun 2023 · 7 mos

    Client: Vigilent - AI driven Data warehouse cooling • Streamlined UML diagram creation by implementing an automated process through Doxygen • Created alarms for timely detection of misconfigurations in Air Handling Units (AHUs) • Designed & developed a feature, that helps to share insights on the number of times AHU has been turned off in a particular time frame, which in turn is responsible for monitoring AHU health

  • Senior Software Developer at Pegasus InfoCorp
    Sep 2021 - Dec 2022 · 1 yr 4 mos

    Client Kotak Securities • Architected & programmed APIs to facilitate the adjustment of portfolio values when stocks are transferred from alternative trading accounts, be it through gifting, initial public offerings (IPOs), or self-initiated transfers • Optimized the order management system by identifying & fixing the memory leaks, resulting in a higher order placement rate • Created an API for generating comprehensive capital gain reports encompassing all trade segments, including equity, bonds, & other asset classes, which serve the purpose of tax reporting • Spearheaded the feature of retrieving data from the drop copy service of the National Stock Exchange using socket programming.