Nitish Kulkarni Email & Phone Number

Sunnyvale, Ca, Us

Mountain View, Ca, Us

[2023 - Current] AI Overviews* Leading 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[2022 - 2023] Search Generative Experience* 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.[2021 - 2022] Multitask Unified Model (MUM)* Built the first generation of MUM-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/[2020 - 2022] Featured Snippets* 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[2019 - 2020] BERT-based Question Answering* 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/

Palo Alto, Ca, Us

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

Pittsburgh, Pa, Us

Machine Learning for Large Datasets

Bengaluru, Karnataka, In

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

New York, New York, Us

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

New York, New York, Us

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

Chennai, Tamilnadu, In

Digital IC Design

Chennai, Tamilnadu, In

Data Structure and Algorithms

San Diego, Ca, Us

Extraction of top critical paths in a digital circuit for pre-silicon validation

Dallas, Tx, Us

Automation of Soft Error Rate detection and Fault In Time (FIT) in digital circuits

London, Gb

Product Development of FTIR-based Multi-touch Surface and a low cost smart board.

Master Of Computational Data Science, Computer Science

B.Tech. & M.Tech., Electrical Engineering

High School, Science And Mathematics

High School