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Sidharth Kulkarni 
(602) 615–9171 – kulkarnisidharth1@gmail.com https://github.com/sid-code 

EXPERIENCE

Software Engineer III at Google (Los Angeles, CA) June 2020 – Present
Maintained a distributed service for producing reports for highest paying customers of Google Ads.
  • Overhauled the report localization system, allowing reports to rapidly reach global markets.

    • Designed a new system which saved template authors 10x the time on configuring localization.

    • Currently in production with 10,000+ messages translated into 15 languages.

  • Drastically reduced resource usage during outages by designing a complex report deferral system.

  • Led the launch of brand reporting on Video View Campaigns, a new critical YouTube ad product.

  • Won “Demo Dazzle” award for prototype of Generative AI-based report summarization tool.

  • Owned a complex templating and rendering engine for Google Sheets and Slides.

  • Administered infrastructural Google Cloud projects to manage authorization and authentication.

  • Improved distributed query performance by analyzing queries to identify bottlenecks.

  • Increased efficiency of template authors by creating add-ons for Google Sheets and Slides.

Research Assistant at TGen (Phoenix, AZ) Sept. 2017 – May 2019
Assisted with bioinformatics research at Translational Genomics Research Institute.
  • Developed a system to predict peptide abundance by giving RNA folding data to a convolutional neural network.

  • Achieved 20x speedup in a preprocessing step in a genomic pipeline by writing performant C code.

  • Received “Outstanding Poster Presentation” at the annual Helios symposium.

SDE Intern at Amazon (Tempe, AZ) May 2018 – August 2019
Developed and shipped an example e-commerce application to demonstrate correct use of Amazon’s fulfillment APIs
  • Wrote Java using the Spring framework for the backend.

  • Wrote HTML/JavaScript/CSS for the frontend.

Research Assistant at ASU (Tempe, AZ) Sept 2013 – May 2018
Funded for Summer 2017 and Fall 2017 by Fulton Undergraduate Research Initiative.
  • Developed a system to determine eligibility for clinical trials through parsing electronic health records.

  • Experimented with various semi-supervsied techniques to segment robot movement data.

  • Presented a poster at the 2017 Fall FURI Symposium.

  • Wrote Java code to manipulate first-order logic and lambda calculus expressions.

EDUCATION

M.Sc. in Computer Science, 2020, GPA 3.94
B.S. in Computer Science, 2019, GPA 3.94
Barrett the Honors College at Arizona State University, Tempe, AZ

RELEVANT COURSEWORK

STP 598 Topics in Machine Learning — CSE 412 Database Management — CSE 466 Computer Systems Security

SKILLS (all with 5 or more years of experience)

Languages: C, C++, Java, Rust, Ruby, {Java,Type}Script, Python, SQL, LaTeX, Nix, and more
Technologies: Linux, git, Kubernetes
Strong foundation in Machine Learning and Natural Language Processing