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

7 yrs 9 mos
Total Experience
1 yr 11 mos
Average Tenure
--
Current 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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