Sanchit Pruthi

About Sanchit Pruthi

Software engineer with 8+ years of experience delivering high-performance, scalable systems leveraging technologies like AWS, Kubernetes, Kafka, and micro-services architecture. Proven ability to lead cross-functional teams, drive automation initiatives, and implement innovative solutions that significantly enhance operational efficiency, system reliability, and end-user experiencePreviously I worked with the Analytics team at Amazon Connect service - AWS. My focus was on metrics and reporting, and I was responsible for developing new APIs for the Amazon Connect application.In the past, I worked on the conversion of Rakuten\'s Brand Avenue website to a micro service architecture and integration with core Rakuten services.I have worked with many different languages, platforms and frameworks in the past, building a diverse skillset that allows me to take on new challenges. Seeking to leverage solid development skills with a focus on collaboration, communication passion & creativity.

Experience

1. Senior Software Development Engineer

   Tesla

   Feb 2023 — Present · Austin, TX, US

   Automated Diagnosis & Vehicle Log Pull- Led database architecture effort, conducting research & design to implement a robust database system. Developed a storage adapter & integrated Flyway for streamlined DB management. This overhaul decreased log pull failures by 30%, enhancing system reliability- Engineered a Domain-Specific Language system, encompassing grammar, syntax, parser, & evaluation mechanisms for executing custom logic scripts efficiently. The implementation increased the accuracy of vehicle diagnosis by 17%, making it more precise & reliable- Responsible for infrastructure setup, leveraging AWS, Kubernetes, Kafka, & Postgres DB to create a scalable & resilient system architecture- Engineered Kafka\'s producers & consumers framework, ensuring efficient data flow & processing throughout the system. This improved real-time vehicle diagnosis by 12%, facilitating faster response times to vehicle issues & saving technician’s timeNLP Automation & Tesla Assist- Performed correlation analysis to link customer complaint narratives with vehicle symptoms & diagnosis, improving diagnostic accuracy. This contributed to automating 63% of customer concerns, streamlining response efficiency- Utilized clustering techniques to systematically categorize customer complaints, enhancing the precision of mapping symptoms to narratives & supporting the automation of responses- Engineered a web scraper for Tesla\'s internal website, laying the groundwork for generating interactive responses within the Tesla Assist chat feature of the Tesla app. This improved the user experience by providing accurate & helpful support directly through the appService Center Automation- Implemented Redis caching for correction article to correction code mapping, slashing Toolbox API call volume by 90%(Technician Portal) and enhancing system efficiency- Reduction in MacGyver build & testing time from 30 mins to 1 min:40 secs, optimizing performance through standardized testing suite

Education

• Thapar Institute of Engineering & Technology

  Bachelor of Engineering (B.E.), Computer Science

  2010 — 2014

• Ira A. Fulton Schools of Engineering at Arizona State University

  Master of Science - MS, Computer Science

  2018 — 2020

Skills

• Java
• English
• Php
• Mysql
• Cascading Style Sheets (Css)
• Research
• Microsoft Office
• Javascript
• Core Java
• C++
• Html
• Autocad
• Microsoft Excel
• Photoshop
• Sql
• Css
• C
• Programming