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Saransh Saini is a seasoned software engineer with a strong educational background in computer science. He holds a Bachelor of Arts degree from the University of California, Berkeley, where he was actively involved in various academic and extracurricular activities. Prior to his academic pursuits, Saransh graduated from John P. Stevens High School, where he excelled in mathematics and science. With extensive experience in various industries, including tech giants like Amazon and NASA, Saransh has honed his skills in software development, data analysis, and machine learning. He is proficient in multiple programming languages, including Python, Scala, and C++, and has a strong foundation in data structures and algorithms. Currently based in the San Francisco Bay Area, Saransh continues to grow and develop as a professional in the tech industry.

Credentials

  • Seal of Biliteracy
    New Jersey Department of Education
    Jun, 2020
    - Apr, 2026
  • Certified Associate in Project Management (CAPM)
    Project Management Institute
    May, 2022
    - Apr, 2026

Experience

  • Juicebox (YC S22)
    • San Francisco, California, United States
    • Software Engineer
      • Jan 2024 - Present
      • San Francisco, California, United States

      Founding Software Engineer at Juicebox, building PeopleGPT

  • Amazon
    • Seattle, Washington, United States
    • Software Development Intern
      • Jun 2023 - Aug 2023
      • Seattle, Washington, United States

      Wrote Spark queries in Scala to identify the inputs for a product recommendation algorithm to best target consumer preferences.Designed infrastructure with AWS Step Functions and Lambdas to automate query testing on large datasets to iterate on possible solutions with minimal manual involvement.Researched and leveraged Spark optimizations such as Adaptive Query Execution and Bloom filters to reduce compute costs by 70%

    • Software Engineer Intern
      • Jan 2023 - May 2023

      Designing backtesting algorithms using alternative data.Automated text message alerts with Twilio.

  • Capital One
    • San Francisco, California, United States
    • Software Engineer Intern
      • Jun 2022 - Aug 2022
      • San Francisco, California, United States

      - Designed and built based cloud infrastructure using AWS technologies such as Opensearch, Lambdas, and S3.- Created APIs to power an internal data display, while adhering to and learning about enterprise standards and best practices.

    • Software Engineer Intern
      • Jan 2022 - May 2022

      Joined the Dynamics And Real-Time Simulation (DARTS) lab of the Mobility and Robotic Systems team, where I get to work on a variety of projects, ranging from efficient C++ to full stack design to version control software:- Built a custom version control system custom tailored to the requirements of the lab. Allows the user to linking libraries and modules together without having to think about the underlying git internals.- Creating an API with Node.js to allow seamless access to the lab's MySQL database, abstracting away the need to connect to the db and then write sql queries directly whenever anyone needs to access the db.- Updating the internal module release catalogue pages to make them more modern, moving from PHP to React.js + Node- Exploring the C++ linear algebra library the team uses, and understanding how to use Eigen to optimize it.

  • Helen Wills Neuroscience Institute at UC Berkeley
    • Berkeley, California, United States
    • Machine Learning Engineer
      • Sep 2021 - Dec 2021
      • Berkeley, California, United States

      Design neural networks to understand the nuances and meaning behind vocalization patterns in the Egyptian fruit bat.

  • Computer Science Mentors
    • Berkeley, California, United States
    • Computer Science Mentor
      • Sep 2021 - Dec 2021
      • Berkeley, California, United States

      Lead small group sections, teaching students about recursion, scheme, python, object-oriented design, SQL, and programming paradigms.

    • Data Structures Teaching Intern
      • Jun 2021 - Aug 2021
      • Berkeley, California, United States

      Academic Intern for CS61B, the Data Structures course of the UC Berkeley CS Department. I help students understand topics and guide them through projects, labs, and problems as a whole.

  • IEEE at Berkeley
    • Berkeley, California, United States
    • Full Stack Developer
      • Sep 2020 - May 2021
      • Berkeley, California, United States

      Kickstarted the development of an enhanced web version of a Pictionary-like game in the projects team at IEEE Berkeley.Brainstorm, planned, and collaborated with a team of students to iteratively improve upon the existing UI and codebase, ultimately writing cleaner, more functional code.Focused on understanding the interplay between user-facing components and backend networking that creates seamless multiplayer experiences

    • Software Engineer Intern
      • Oct 2020 - Dec 2020

      Independently built multiple data gathering and cleaning scripts in Python that would later become the first version of the core Python library used by the company.Iteratively optimized the API fetching logic by incorporating Python Collections and data structures to reduce the number of API calls needed to fuel the dashboards the company creates.Built a database using the Stack Overflow API to present trends in tech popularity amongst developers.

    • Projects Developer
      • Sep 2020 - Dec 2020

      •Use python and analysis software to model data taken from UC Berkeley and The City of Berkeley•Present data in a user friendly forms by collaborating with designers•Write articles for the Daily Cal to present the data and models created

  • Rutgers University–New Brunswick
    • Center for Alcohol and Substance Abuse Studies
    • Data Science Research Intern
      • Jul 2017 - Sep 2017
      • Center for Alcohol and Substance Abuse Studies

      •Performed statistical analysis on data taken from trials and studies done at the Center for Alcohol and Substance Abuse Studies.•Applied R and SAS under the guidance of the head statistician.

Education

  • 2020 - 2023
    University of California, Berkeley
    Bachelor of Arts - BA, Computer Science
  • 2016 - 2020
    John P. Stevens High School
    High School Diploma

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Industry Focus. “Computer Software”

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