Nishant Kumar Email and Phone Number
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• I have 10+ years of industrial experience in developing end-to-end solutions using Machine Learning & AI. I have had the opportunity to present ML Research at multiple conferences including NeurIPS. I have won Awards/Prizes in various world-class ML Competitions. Balancing interests amongst three areas : Industry, Research & ML Competitions has helped develop all-round abilities in me to find/solve problems across a wide variety of domains and making me a curious learner to adapt to forever evolving ML industry & research.• Achieved Kaggle Competition Master's Tier (Top Tier Data Scientist/ Machine Learning Engineer, as rated by Kaggle/Google), in May 2015, with highest rank in top 0.1% out of 200k world-wide Machine Learning Engineers. More than 10+ years of Kaggle experience across a wide variety of Machine Learning Competitions w/ 1 Gold Medal, 7 Silver Medals & 4 Bronze Medals ( Kaggle profile attached ). • Presented at NeurIPS 2017 Competition track about our work on NeurIPS competition "Classifying Clinically Actionable Genetic Mutations", where we won the 2nd prize for the Most Innovative Solution. Our work mainly used techniques like Natural Language Processing, Deep Learning & Ensemble Modeling.• Research paper published in IEEE BigData'16 along with the Winning Prize from Bosch for the "Bosch Production Line Performance Challenge", Dec 2016 ( Media Coverage / Interview link attached ).
Meta
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Machine Learning Engineer And Tech LeadMetaCalifornia, United States -
Machine Learning Engineer / Tech LeadMeta Feb 2020 - PresentMenlo Park, Ca, Us- Generative AI : This is my current role, in which I Tech Lead research on new scalable ways of building LLMs on unstructured text content to improve Ads Ranking- Tech Lead in Resilient Revenue Team : In this role, I lead a cross-functional team of Engineers & Data Scientists across Payments Solutions and Resilient Revenue space, to design and build new "Onsite" Ads delivery ML algorithms that bring back multi-millions of incremental revenue as well as defend future company revenue against platform changes. - Tech Lead on Travel Ads Incrementality Team : In this role, I lead a Ads delivery team to try to solve one of the most challenging problems faced in the Ads Industry related to "Incrementality" of Travel Ads campaigns -
Angel InvestorEarly-Stage Startups 2024 - PresentProvide capital and technological guidance & mentorship to founders seeking strategic investment along with expertise in AI and Machine Learning. Key Investments: 1) Galini: Galini ( https://www.galini.ai/ ) is transforming AI compliance for businesses, simplifying the challenge of keeping up with evolving regulations in industries by offering "Compliance guardrails-as-a-service for AI applications". Its AI-powered guardrails filter harmful inputs and outputs based on company policies and industry regulations (https://www.ycombinator.com/companies/galini) 2) WiseGuru: WiseGuru ( https://www.wiseguru.in ) aims of innovating the hybrid virtual<>in-classroom experience w/ AI driven language learning tools. 3) Recursal/Featherless AI: It initially led the open-source RWKV language model project (RNN with GPT-level performance and linear time inference) and now, they run Featherless.ai ( https://featherless.ai/ ), a serverless platform hosting open-source models like LLAMA, offering significant performance and cost improvements.4) LightMatter: LightMatter.ai ( https://lightmatter.co/ ) has pioneered a photonic computing platform which uses light to process data, offering faster computation speeds with reduced latency for AI tasks. It significantly lowers power consumption compared to traditional GPU-based systems, addressing the energy demands of modern AI. -
Senior Data Scientist (Applied Machine Learning, Ubereats)Uber Jul 2016 - Feb 2020San Francisco, California, UsKey projects :UberEats : - Personalized HomeFeed Restaurant Ranking Algorithms - New User HomeFeed Restaurant Ranking - Deep Learning & NLP for Restaurant Category Prediction (Knowledge Graph) - Improving Search Ranking with Knowledge Graph - ETA Prediction ML Models Applied Machine Learning : - Semi-Supervised & Boosted Trees learning to catch GPS Spoofing using Sensors - Online Learning (FTRL) to improve ETA and marketplace efficiency - User Response prediction (cross-sell models across key Uber products) - Demographic Prediction Models -
Machine Learning EngineerQeexo Jun 2015 - Jul 2016San Jose, California, UsWorked on Machine Learning and Signal Processing to make accurate models which classify acoustic signals coming from different objects when they interact with the touch screen devices. We developed a technology which can distinguish between different parts of customer’s finger interacting with their touchscreen (normal “pad” or “knuckle”) to provide a multi-dimensional input. Key contributions :- Traveled on-site (China) to implement FingerSense on OEM platforms.- Developed tools for optimizing the FingerSense classifier (Python).- Played the lead role in developing v2.0 version of Qeexo’s FingerSense classifier - The FingerSense v2.0 was ~2% more accurate than previous Qeexo's classifier. - My main role in FingerSense v2.0 was addition of new features & shifting to a non-linear classifier. - Grew Machine Learning team from 2 to 5 full time employees (recruiting, interviewing, training). -
Senior Analytics SpecialistOpera Solutions Sep 2012 - May 2015Jersey City, Nj, UsApplying cutting edge Analytics, Machine Learning and Statistical Modelling techniques, to make predictive models and advising clients from Digital Marketing, Retail, Finance, Healthcare, E-Commerce & Telecom among others sectors. Expertise lies in predictive modelling using algorithms of Machine Learning like Asymmetric SVD, Text Analytics, Logistic Regression, Factorization Machines, Online Learning Algorithms, Deep Learning, Clustering etc. The domain of problems worked on include Recommender Systems, Classification, Regression and Decision optimization. Proficiency in tools like Python, SAS, R, MySQL and MS-Excel/VBA. -
Research InternshipGeorgia Institute Of Technology May 2011 - Jul 2011Atlanta, Georgia , UsCRUISE (Computing Research Undergraduate Intern Summer Experience, 2011) :Modelling simulation of blood vesicles in couette flow to investigate the unorthodox elliptic shape of blood vesicles.Image Processing in MATLAB - Developed Mathematical Models to compare blood vesicles’ simulations with analytical model of an ellipse.Successfully found out flow patterns in the shape of blood vesicles explaining the peculiar shape of the vesicles. -
Research InternshipThe University Of Auckland May 2010 - Jul 2010Auckland, NzInvestigating Boundary Layer Separation in Decelerating Toroid.Conceptual Design & Manufacturing of entire experimental setup for studying the phenomenon of boundary layer separation in rotating toroids. Oomph-lib (open source platform) was used alongwith C++ to simulate this phenomenon and cross -verify the experimental readings
Nishant Kumar Skills
Nishant Kumar Education Details
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Stanford Continuing StudiesOrganizational Leadership -
Indian Institute Of Technology, KharagpurThermal Science -
Indian Institute Of Technology, KharagpurMechanical Engineering
Frequently Asked Questions about Nishant Kumar
What company does Nishant Kumar work for?
Nishant Kumar works for Meta
What is Nishant Kumar's role at the current company?
Nishant Kumar's current role is Machine Learning Engineer and Tech Lead.
What is Nishant Kumar's email address?
Nishant Kumar's email address is nkumar@fb.com
What schools did Nishant Kumar attend?
Nishant Kumar attended Stanford Continuing Studies, Indian Institute Of Technology, Kharagpur, Indian Institute Of Technology, Kharagpur.
What skills is Nishant Kumar known for?
Nishant Kumar has skills like Machine Learning, Python, Analytics, Data Analysis, Sas, R, Matlab, Business Strategy, Data Mining, Microsoft Excel, Statistics, Algorithms.
Who are Nishant Kumar's colleagues?
Nishant Kumar's colleagues are Abdelhamid Moualhi, Tin Pham, Deanna Lombardo, Ayelen Laurencena, Will Debruynkops, Zakaria Baouali, N Ø S H I ..
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