Kanish Garg

AI Researcher

Bengaluru, Karnataka, India7 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led strategic projects at Google Ads impacting billions in revenue.
Expert in developing scalable ML applications on Google Cloud.
Strong foundation in AI/ML with advanced degrees from top institutions.

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

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Skills

Core Skills

Machine LearningGoogle Cloud Platform (gcp)Big Data AnalyticsSoftware Development

Other Skills

AI ApplicationsAPI DevelopmentARM AssemblyAmazon Web Services (AWS)Apache HadoopArduino IDEBashC++CSSCaffeCloud ComputingData AnalysisDeep LearningDockerFlask-SocketIO

About

ML Engineer III (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

Google

Machine Learning Engineer III (Tech Lead)

Oct 2021 – Present · 4 yrs 5 mos · Bengaluru, Karnataka, India

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 Cloud
1. 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

Cloud ComputingGoogle Cloud Platform (GCP)Large Language Models (LLM)API DevelopmentMachine Learning

Goldman sachs

Software Engineer

Jun 2020 – Oct 2021 · 1 yr 4 mos · Bengaluru, Karnataka, India

Team: Quantitative Investment Strategies, Asset Management Division
1. Implemented new signals (e2e) right from querying/indexing data (MySQL, Hadoop) to predicting the stock prices.
2. Co-developed a platform for the automation of entire portfolio ($62 billion) rebalance & trade generation workflow.
3. Conducted Big Data Analytics with Apache Hadoop & designed/implemented data integrity checks on more than 10 extensive datasets.
Learnings: Big Data Analysis, Kubernetes, MapReduce, PostgreSQL, Hadoop, DB2, Sybase, Flask-SocketIO, REST APIs, Vue.js, Redis

Big Data AnalyticsKubernetesApache HadoopREST APIsMySQLSoftware Development

Singapore university of technology and design (sutd)

AI Research Intern

Nov 2019 – Jan 2020 · 2 mos

Prof: Dorien Herremans, Brejesh Lall

Samsung electronics

AI Research Intern

May 2019 – Jul 2019 · 2 mos · Noida Area, India

Icar- indian council of agricultural research

Machine Learning Engineer

Jul 2018 – Jun 2020 · 1 yr 11 mos · New Delhi, Delhi, India

Advisor: Dr. Viswanathan Chinnusamy, FNAAS, Joint Director (Research), ICAR
Mentor: Dr. Swati Bhugara
Projects:
1. Artificial Intelligence Based Mobile App for Identification and advisory of Maize Diseases and Insect Pests
2. Phenomics of moisture deficit stress tolerance and nitrogen use efficiency in rice and wheat-Phase II

Machine LearningAI ApplicationsData Analysis