Kanish Garg

Engineering at Google | MS CS @ Georgia Tech | IIT Delhi | ex-GoldmanSachs

Role
Machine Learning Engineer Iii (Tech Lead) at Google
Location
Bengaluru, KA, IN
LinkedIn followers
500 followers

About Kanish Garg

ML Engineer (Tech Lead) with 6+ years of industrial experience and a strong foundation from IIT Delhi and an MS in CS & AI from Georgia Tech. Expertise in developing high-performance, scalable distributed systems and LLM-powered applications in Google Cloud, as well as ML pipelines in Google Ads, delivering exceptional user experiences and substantial revenue impact. Demonstrated ability to lead and mentor junior engineers and drive innovation across multiple projects.I possess a deep passion for engineering excellence and thrive on tackling challenging problems in the AI/ML space and large-scale product development. Throughout my career at Google, Goldman Sachs, ICAR, and Samsung Research Institute, I\'ve gained extensive practical experience in Machine Learning, Data Science, and Software Development. I leverage a strong understanding of algorithms and computer science principles to build innovative and scalable solutions.I am driven to contribute by applying my expertise in Artificial Intelligence to solve complex, real-world problems.

Experience

  1. Machine Learning Engineer Iii (Tech Lead)

    Google

    Oct 2021 — Present · Bengaluru, IN

    Google Ads- Working on strategic projects designed to proactively protect $XX billion in Google Ads revenue amidst evolving privacy landscapes and regulations such as GDPR and the phasing out of third-party cookies.Google Cloud1. Designed & developed IAM Policy Porter from scratch to translate AWS IAM policies to GCP IAM policies using Large Language Models (LLMs).2. Enhanced the Device & Endpoint Security using Context Aware Access as a part of Google’s Zero-trust network access offering.3. Designed & Implemented (e2e) 10+ new signals for CAA Access Levels, which helped unlock $XX million worth of deals.4. Designed & Delivered high-quality features (for ~3 million users), and made significant contributions to test, monitoring & deployment pipelines.Learnings: LLMs (Prompt Engineering, RAG and Finetuning), Ads Measurement, GCP Services, SRO, Modern C++, Typescript, Go, API Development (Resource Oriented), Guice, Boq, Borg, Building Secure Products & Platforms at Scale

Education

  • Indian Institute of Technology, Delhi

    Bachelor of Technology - BTech, Electrical Engineering (Major) and Computer Science (Minor)

  • Georgia Institute of Technology

    Master of Science - MS, Computer Science

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Kanish Garg — Machine Learning Engineer Iii (Tech Lead) at Google in Bengaluru, KA, IN | Unifers