Pulkit Yadav

Software Engineer

San Francisco, California, United States11 yrs 6 mos experience

Highly StableAI Enabled

Key Highlights

Expert in Machine Learning and Distributed Systems.
Proven track record in building scalable cloud infrastructure.
Innovative solutions for ad safety using AI technologies.

Stackforce AI infers this person is a Cloud Computing and Ad Tech specialist with a focus on Machine Learning.

Contact

pulkityadav1@gmail.com LinkedIn

Skills

Core Skills

Machine LearningDistributed SystemsVirtualizationCognitive Radio

Other Skills

AlgorithmsAndroidArtificial IntelligenceC (Programming Language)C++Cloud ComputingComputer ScienceData StructuresGitHadoopJavaKubernetesLinuxMachine Learning AlgorithmsMicroservices

About

Using technology to solve human problems. Currently working on ensuring ads safety at Google using ML. Past experience in Distributed Systems, Virtualisation and Cloud Infrastructure.

Experience

Tough tongue ai

Software Engineer

Jul 2025 – Present · 8 mos

Google

Software Engineer

Apr 2020 – May 2025 · 5 yrs 1 mo · United States · On-site

Offensive Ads Models: Use LLMs & AI to remove irrelevant and inappropriate ads on Google.

Nutanix

Senior Member Of Technical Staff

Jul 2014 – Apr 2020 · 5 yrs 9 mos · San Jose, California

Worked on building scalable systems for Nutanix hyper-converged cluster and enterprise cloud. Work areas included distributed systems, microservices, systems security and virtualization.
Patents:
System and method for reducing downtime during hypervisor conversion
System and method for preserving entity identifiers

Qualcomm

Research Intern

May 2013 – Jul 2013 · 2 mos · Bangalore

Worked on enabling virtualization on mobile devices for next generation mobile platform. Modified Android bootloader and patched KVM kernel for supporting multiple operating systems on a mobile device.

Advanced digital sciences center (adsc)

Research Assistant

May 2012 – Jul 2012 · 2 mos · Singapore

Researched various techniques in cooperative spectrum sensing in cognitive radio for better efficiency and robust attack resilience. Came up with a new cooperation technique and validated its efficacy by extensive simulation in various environments. Findings published in IEEE Globecom 2013.