Sanjari Srivastava

Co-Founder

Stanford, California, United States7 yrs 9 mos experience

Key Highlights

  • Master's in AI from Stanford University
  • Research on fairness and explainability in AI
  • Technical lead for optimizing Scala codebase
Stackforce AI infers this person is a skilled AI and Machine Learning Engineer with strong expertise in NLP and software development.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Machine Learning

Other Skills

Algorithm DesignC++Computer VisionDistributed SystemsGoJavaScriptOperating SystemsPyTorchPythonScala

About

I pursued my Master's in the AI track at Stanford University. My research interests lie in NLP, Explainability and Generative Modeling. I took project-based courses CS230: Deep Learning, CS236: Deep Generative Models, Computer Vision, Reinforcement Learning and was a Course Assistant for the Databases courses and Trustworthy ML course at Stanford. I was also pursuing a Research Assistantship under Prof. John Mitchell to explore fairness and explainability in AI. During my undergraduate studies at IIT Kanpur, India, I had taken courses on NLP, CV, ML and worked on projects like Topic Modelling using Independent Component Analysis, opinion detection and object recognition. Prior to starting my Master's, I also spent 4 years in the industry as a Software Engineer at Rubrik Inc., a Cloud Data Management company, where I saw the company grow from just 20 employees in the Bangalore office to its current size. At Rubrik, I have been a part of many critical teams and here's a brief summary in reverse chronological order of what I built and achieved during my time there: 1) Faster builds, Componentization: - Part of, and later Technical Lead of the team which bazel-ized our Scala codebase and made our builds blazing fast. - We also carved out our core snapshot management layer into micro-services which could directly be spun up on Kubernetes in our SaaS based, cluster management plane Polaris. 2) Metadata pipeline, Global SLA: - Set up the first metadata transfer architecture between Rubrik's on-premise offering CDM and Polaris. This helped propel the development of Rubrik's core offerings on Polaris like Anomaly Detection. - Also helped build the framework for allowing customers to create and globally propagate Service Level Agreements (SLAs) for configuring backup/recovery schedules for their workloads. 3) Built the support for protection of new and complex snappables in Rubrik, like VMware vCD.

Experience

Uniphore

S. Staff Software Engineer (AI)

Sep 2025Jan 2026 · 4 mos

Orby ai

Founding Machine Learning Engineer

Jun 2023Sep 2025 · 2 yrs 3 mos · Sunnyvale, California, United States

  • Training state of art, large-scale language and vision-language models for browser-based navigation
Natural Language Processing (NLP)PyTorchDistributed SystemsComputer VisionMachine Learning

Stanford university

Graduate Research Assistant

Sep 2022Mar 2023 · 6 mos

  • Researching impact of Differential Privacy on Fairness under Prof. John Mitchell and Prof Anupam Dutta.

Eightfold

Machine Learning Intern

Jun 2022Sep 2022 · 3 mos · Santa Clara, California, United States

  • https://eightfold.ai/blog/our-summer-interns-combined-technical-know-how-with-meaningful-work/

Stanford university

Graduate Teaching Assistant

Sep 2021Mar 2022 · 6 mos

  • CS145: Data Management and Data Systems
  • CS245: Principles of Data Intensive Systems
  • CS329T: Trustworthy Machine Learning

Rubrik, inc.

2 roles

Member Of Technical Staff

Oct 2019Sep 2021 · 1 yr 11 mos

Member Of Technical Staff

Jun 2017Sep 2019 · 2 yrs 3 mos

Nutanix

Summer Intern

May 2016Jul 2016 · 2 mos · bangalore

Education

Stanford University

Master of Science - MS — Computer Science

Sep 2021Sep 2023

Indian Institute of Technology, Kanpur

Computer Science

Jan 2013Jan 2017

Delhi Public School, Jodhpur

12th — Computer Science

Jan 2011Jan 2013

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