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Nikhil Kulkarni is listed as AI Engineer @ Google | Johns Hopkins CS | AI Agents, Search at Google, a with 1 employees, based in Mountain View, California, United States. AeroLeads shows a work email signal at target.com and a matched LinkedIn profile for Nikhil Kulkarni.
Nikhil Kulkarni previously worked as Applied AI Engineer at Google and Lead AI Scientist - Search at Target. Nikhil Kulkarni holds Master Of Science - Ms, Computer Science, Machine Learning, Nlp from The Johns Hopkins University.
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Currently Applied AI Engineer at Google working on AI-Powered enterprise search and AI Agents.Previously, Lead AI Scientist At Target’s (Bay area) Search Team. Built Query Understanding and Ranking models for E-commerce Search. Utilized Generative AI, Large language models, Graph neural networks, RAG, Natural Language Processing with Deep Learning, Ranking, Evaluation techniques. The Johns Hopkins University Alum with a focus on Machine Learning, Information Retrieval, and Natural Language Processing.More: https://nikhilk.me/
Listed skills include Machine Learning, Natural Language Processing, Python, C++, and 22 others.
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Mountain View, Ca, Us
AI agents and AI-powered search for enterprises.Search lead on a product-driven Applied AI Engineering team. We build Search and Generative AI solutions for enterprises, bridging the last-mile gap between the latest research developments and commercial deployments. We use end-to-end system design to develop vertically-integrated, scalable, industry-specific and differentiated applications for Google and Google Cloud customers.
Minneapolis, Mn, Us
Related job titles: Machine Learning Engineer, Machine Learning Scientist, Applied Scientist, Research Engineer, Deep Learning Engineer, Search Relevancy Engineer, NLP Engineer, Software Engineer - Machine Learning6+ years in the AI Search team within the Data Sciences Org. 100% of the search queries on target.com pass through my team's ML models.Built Query Understanding, Ranking models using LLMs, Deep Learning techniques to improve the e-commerce search experience for millions of Target users. Part of the team that delivered Search 3.0 (AI powered search) in 2024 and Search 2.0 (Deep learning based search) in 2018.- Designed, developed and deployed Query Intent + Attribute Classifiers trained using deep custom built CNNs- Query Equivalence, Query Rewrite, Query Expansion, Automatic synonym detection trained using Query Reformulation Graph + GNN link prediction models- Query Expansion, Query Router trained using LLMsResponsibilities: Identifying search related business problems, collecting / generating training data, training deep learning models, writing ML pipelines, evaluating models, serving via REST APIs, integrating in the search system, designing & analyzing A/B tests, presenting results to leadershipAchievements:- 2024 Key contributor to the Natural Language Search project that leverage GenAI tech to improve search experience of abstract search queries like - sofa, summer, candy, gym, shark birthday- 2023 Presented Demystifying Generative AI to 641 technical colleagues, including SVPs and VPs of different verticals.- 2021 Increased search attributable demand by $$$ Millions through multiple Query Understanding models- 2019 Received Chief Data Analytics Officer Award for enabling e-commerce search with data science. Increased search attributable demand by 4.8%, Relevancy by 2% YoY. Areas: Information Retrieval, Search, Natural Language Processing, Deep Learning, Machine Learning, Graph Neural Network, Large Language Models, GenAI
Minneapolis, Mn, Us
Search Query Understanding and Ranking TeamSearch, Ranking, Evaluation, NLP, Deep learning, Information Retrieval
San Francisco, Ca, Us
https://internships.github.com/interns/2017/nikhilUsed Machine Learning and Information Retrieval based techniques to recommend similar discussion threads on GitHub. Worked on 84 Million public issues. Designed a model for recommending semantically similar issues. The model solves the search and recommendation problem for GitHub Issues. It will serve as a baseline model for the Machine Learning team going forward.
Baltimore, Md, Us
Project Advisor and Course Assistant of EN.600.421 Object Oriented Software Engineering course.
Frankfurt, Hesse, De
Worked mainly on Information Retrieval, NLP, Machine Learning. Designed and trained a custom Named Entity Recognition system to tag biomedical entities in medical journal abstracts. Used Conditional Random Fields to tag unknown data set cutting down manual tagging.
Mumbai, Maharashtra, In
Worked on a project involving food taxonomy generation and text mining. Designed a pipeline to categorize food item names into different categories such as cuisine type, meal type, veg/non-veg etc. Achieved 93% avg. precision for the taxonomy based on 7 different categories. Received special recognition from management.(Acquired by Zomato)
Mountain View, California, Us
Worked on Resume Parser project which involved pattern recognition and machine learning techniques. Improved patent-pending algorithms by tuning parameters using statistical data analysis. Analyzed valuation curves using cases where the algorithm worked best and worst. Problem statements involved an application of Machine Learning in Natural Language Processing.(Acquired by Hired.com)
Mountain View, California, Us
Worked on Data Visualization using Data Driven Documents (D3). Created web application using REST API in Django,Flask.
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王文茜
Colleague at GoogleLuoyang, Henan, China
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MS
Mendyala Saikumari
Colleague at GoogleHyderabad, Telangana, India
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Rodrigo De Moraes
Colleague at GoogleLos Angeles, California, United States
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Bhavesh Kumar Prajapat
Colleague at GoogleJaipur, Rajasthan, India
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Victor Brewer
Colleague at GoogleAurora, Colorado, United States
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Subhrakanta Patra
Colleague at GoogleBhubaneswar, Odisha, India
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Devang Raj Arora
Colleague at GoogleDelhi, India
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Hang Yin
Colleague at GoogleSan Jose, California, United States
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MN
My Name Hridoy
Colleague at GoogleWp. Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia
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Kingo Wang
Colleague at GoogleSunnyvale, California, United States
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Nikhil Kulkarni works for Google.
Nikhil Kulkarni is listed as AI Engineer @ Google | Johns Hopkins CS | AI Agents, Search at Google.
AeroLeads has found 1 work email signal at @target.com for Nikhil Kulkarni at Google.
Nikhil Kulkarni is based in Mountain View, California, United States while working with Google.
Nikhil Kulkarni has worked for Google, Target, Github, Johns Hopkins University, and Innoplexus.
Nikhil Kulkarni's colleagues at Google include 王文茜, Mendyala Saikumari, Rodrigo De Moraes, Bhavesh Kumar Prajapat, and Victor Brewer.
You can use AeroLeads to view verified contact signals for Nikhil Kulkarni at Google, including work email, phone, and LinkedIn data when available.
Nikhil Kulkarni holds Master Of Science - Ms, Computer Science, Machine Learning, Nlp from The Johns Hopkins University.
Nikhil Kulkarni is listed with skills including Machine Learning, Natural Language Processing, Python, C++, Matlab, Data Structures, Data Science, and Svm.
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