Nitish Kulkarni

Co-Founder

Sunnyvale, California, United States10 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led AI product development impacting billions globally.
Recipient of multiple Google Tech Impact Awards.
Expert in LLMs and NLP with a decade of experience.

Stackforce AI infers this person is a highly skilled AI and NLP expert with significant experience in large-scale product development.

Contact

Skills

Core Skills

Reinforcement LearningNatural Language Processing (nlp)Machine LearningLarge Language Models (llm)Artificial Intelligence (ai)

Other Skills

Data CollectionEvaluationTeam LeadershipGenerative Neural NetworksAlgorithmsQuantitative AnalyticsData SciencePythonSignal ProcessingCC++PerlMatlabVerilogMicrosoft Office

About

Technical Lead for Gemini Reinforcement Learning (RL) efforts for Google's AI Overviews. With a decade of experience in ML and AI, I specialize in applied research to drive meaningful and large-scale impact. Over the last few years at Google, I have been building AI products to answer billions of user questions on Google Search everyday from all over the world. Before that, I built ML-powered trading strategies for Investment Management at Goldman Sachs. My graduate research at Carnegie Mellon University was in Natural Language Processing and Question Answering, with focus on Generative LLMs and Retrieval Augmented Generation (RAG). Research Interests: LLM Alignment and Reasoning, Factuality, RAG, Question Answering, Document Understanding, NLP, Applied AI

Experience

Stealth

Co-Founder

Jun 2025 – Present · 9 mos · Sunnyvale, California, United States · On-site

Google

4 roles

Staff Software Engineer

Nov 2023 – Jun 2025 · 1 yr 7 mos · On-site

Led the reward modeling and RLHF efforts for AI Overviews (Gemini Post Training for Google Search): https://blog.google/products/search/generative-ai-google-search-may-2024/
Recipient of Google Tech Impact Award 2024 - a recognition for achieving outsized impact through technical excellence and effective team collaboration

Senior Software Engineer

Promoted

May 2022 – Oct 2023 · 1 yr 5 mos · On-site

Search Generative Experience (Now AI Overviews):
Modeling lead for multiple LLM post-training efforts, spanning supervised finetuning, instruction tuning, RLHF, data collection and evaluation - to build a state of the art retrieval augmented generation (RAG) based AI-summarization system to power Google Search (announced at Google IO 2023): https://blog.google/products/search/generative-ai-search/
Awarded Google Search Tech Impact Award 2023 given each year to a select number of projects that significantly advance Google Search.

Reinforcement LearningLarge Language Models (LLM)Natural Language Processing (NLP)Data CollectionEvaluation

Software Engineer III

Nov 2020 – Apr 2022 · 1 yr 5 mos · On-site

Built the first generation of MUM (T5)-based QA models, bringing the AI and LLM benefits to search-scale question answering through featured snippets, driving strong quality improvements under strict latency constraints: https://blog.google/products/search/introducing-mum/
Core member of question answering team at Google Search, worked on projects that doubled the number of answers (“Featured Snippets”) shown in English, 5-20Xed answers in other languages, and led significant quality improvements for multiple targeted aspects of answers (ex. Answer Freshness).
https://developers.google.com/search/docs/appearance/featured-snippets

Natural Language Processing (NLP)Large Language Models (LLM)Machine Learning

Software Engineer II

Feb 2019 – Oct 2020 · 1 yr 8 mos · On-site

Worked on the training and deploying the first BERT-based LLM, on a new ML accelerator, in the world https://blog.google/products/search/search-language-understanding-bert/

Natural Language Processing (NLP)Large Language Models (LLM)

A9.com

Applied Scientist

May 2018 – Aug 2018 · 3 mos · Palo Alto, United States · On-site

Personalization of Amazon Search for Kindle e-books and Prime Videos. [Digital Relevance Team]

Artificial Intelligence (AI)Natural Language Processing (NLP)

Carnegie mellon university

Graduate Teaching Assistant

Jan 2018 – May 2018 · 4 mos · Greater Pittsburgh Area

Machine Learning for Large Datasets

Artificial Intelligence (AI)Natural Language Processing (NLP)

Shubhloans

Machine Learning Engineer

May 2017 – Jul 2017 · 2 mos

Credit modeling to estimate the likelihood of loan defaults using text, social, financial and location data.

Artificial Intelligence (AI)Natural Language Processing (NLP)

Goldman sachs

2 roles

Associate

Jan 2017 – May 2017 · 4 mos

Fixed Income Strats, Investment Management Division
Quantitative research for building trading strategies and effective performance evaluation
Statistical time series modeling to devise trading strategies that enhance portfolio performance

Artificial Intelligence (AI)

Quantitative Analyst

Jun 2014 – Dec 2016 · 2 yrs 6 mos

Fixed Income Strats, Investment Management Division
Predictive modeling and forecasting of economic data using regression models
Robust and constrained Mean-Variance optimization for enhanced performance of trading strategies