Ankit Jain Email and Phone Number
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Ankit is an experienced AI Researcher/Machine Learning Engineer who has researched and deployed several scalable machine learning models. Currently serves as Engineering Manager in Generative AI department at Meta He has publications in top AI conferences like Neurips, ICML and ICLR. He has undergraduate and graduate degrees from IIT Bombay (India) and UC Berkeley respectively. Outside of work, he enjoys running and has run several marathons. He has worked in several top tier companies like Meta/Uber/Bank Of America. #Awards40Under40 Data Scientists 2022 by Analytics India Magazine. Outstanding Leadership Award, Internet 2.0 conference, Intercontinental Dubai#Chair/Program Committee MemberServing as a chair/reviewer/meta-reviewer at Top Tier AI conferences * [PC] KDD'22 Conference Applied Data Science Track* [Senior PC] CIKM'22 Short Paper Track* [PC] CIDM * [Chair] ML management workshop at KDD’22* [PC] Deep Learning on Graph Workshop in KDD'22* [PC] MetaNLP workshop at ACl'21#Book AuthorCo-authored a bestseller book "Tensorflow Machine Learning Projects". You can find it on Amazon.com here.http://a.co/d/332CdOL#SpeakerHe has been a featured speaker at major conferences, universities and companies. Some of prominent ones include UC Berkeley, San Jose State University, IIM Ahmedabad (Best B-School in India), O'Reilly AI, Strata AI, Rework AI, Index IBM, Udacity, Square, Hitachi.#EducatorAnkit is equally passionate about education and has mentored over 500 students in data science at following places: General Assembly (San Francisco), Springboard (San Francisco/Bangalore), INSOFE (Bangalore/Hyderabad), Upgrad as Subject Matter Expert (Mumbai), Acadgild (Bangalore).
Meta
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Senior Research Manager, Generative AiMetaCalifornia, United States
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Engineering Manager, Generative AiMeta Jan 2023 - PresentMenlo Park, Ca, UsEngineering manager on Generative AI Safety for meta’s products. Helped launched Imagine, Imagine yourself, AI Stickers and User generated AI’s on Instagram. Leading a team of 25+ engineers/researchers/applied scientists to make our MetaAI products safer.Team works on LLM/LDM finetuning(DPO/RLHF) , RAG based systems, synthetic data generation, pre training data mitigations, automated red teaming approaches and scaled evaluations.
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Engineering Manager, Machine LearningMeta Feb 2022 - Sep 2024Menlo Park, Ca, Us2020-2022Worked on People You May Know (Facebook), Accounts you may follow (Instagram).Additionally, worked on detecting fake accounts for FB/IG. We use advanced Graph Neural Networks, Large Scale unsupervised graph clustering, NLP and Computer vision technologies. Our models are used across Facebook and Instagram.
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Staff Research ScientistMeta Aug 2020 - Mar 2022Menlo Park, Ca, UsMachine Learning @ Facebook
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InvestorTruefoundry Jan 2023 - PresentSan Francisco, California, UsMLops platform backed by Sequoia, Naval Ravikant and Anthony Goldbloom (Kaggle) -
Angel InvestorUltrahuman Oct 2021 - PresentBangalore, In -
InvestorGrowthschool Jun 2022 - PresentBengaluru South, Karnataka, In -
AdvisorCognizer Inc Jul 2021 - PresentPleasanton, California, UsHelping advise in graph and NLP technologies to build effective solutions for extracting and insights from text and unstructured data. -
Angel InvestorInner Fit Feb 2020 - PresentSan Jose, Ca, Us -
AdvisorSamya.Ai Feb 2020 - Sep 2021New York, UsTechnical Advisor on Machine Learning and Artificial Intelligence.Company was acquired by Fractal -
Senior Research ScientistUber Ai Feb 2018 - Aug 2020San Francisco, California, UsThis group was led by Prof. Zoubin Ghahramani ( https://en.wikipedia.org/wiki/Zoubin_Ghahramani).I am involved in applied AI research on Uber datasets and have deployed multiple models at scale at Uber. Specifically working(worked) on:+ Large Scale Graph Representation Learning algorithm for Uber Eats, Fraud detection, Traffic Prediction. This application mainly involves usage of Graph Convolutional Networks.+ Food Preparation Time Prediction in Uber Eats using Deep Neural Networks.Tools: Python, R,Pytorch, Tensorflow, Hive, Docker, PySparkAdditionally, I run the internal AI education initiative at Uber. This has helped hundreds of engineers at Uber to learn and use AI in their jobs. -
Research ScientistUber Ai Mar 2017 - Jan 2018San Francisco, California, UsUser Level Forecasting (Advised by Chief Scientist, AI Labs): Led the effort on predicting # trips for each rider/driver on the platform.o Developed a LSTM model with custom loss function (Zero Inflated Poisson) using PyTorch to predict trips for each individual driver in the short term (4-6 weeks). Incorporated incentive features and developed first of a kind incentive sensitivity curves for the company at aggregate levelSelf Driving Car Simulation: Serving as a technical lead for developing an agent based simulation using Python to help business decide on the strategy for deploying self driving cars Tools Used: Python, R,Pytorch, Tensorflow, Hive, Machine Learning, Deep Learning, BI Tools
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MentorSpringboard May 2015 - Dec 2017San Francisco, California, UsMentor for Data Science course. Making students fall in love with data. -
Head Of Data Science And AnalyticsRunnr Oct 2015 - Dec 2016Bengaluru, Karnataka, InRunnr was acquired by Zomato.Solved complex last mile logistics problems in India with a data twist. Here is a brief of my work:• Led a team of 5 data scientists/analysts and 4 engineers while being an individual contributor.• Food Preparation Time (FPT) Prediction Analyzed the data and built a Random Forest Regressor using scikit-learn to predict food preparation time based on hour, day, cost of order etc. Model was used to optimally dispatch the delivery boys and achieved 7% increase in efficiency• Grouping of Ecommerce Delivery: Developed a custom model on the lines of hierarchical clustering to group the ecommerce deliveries. Model led to 5% increase in number of orders delivered with the same fleet and similar SLA.• Driver Churn Prediction Model: Developed a churn prediction model to preempt the driver churn using Logistic Regression. Operationalized the model which led to 15% decrease in churn of drivers•Led several other data science projects using Time Series Analysis like Demand/Supply Prediction etc. •Tools Used: Python, R, BI Tools, SQL, Redshift SQL, Django, MongoDB.----Here is the link to my statistical analysis on Food delivery business in India.http://yourstory.com/2016/07/food-delivery-sustainable-business/ -
Data ScientistClearslide Mar 2014 - Sep 2015San Francisco, California, UsWorked on problems relating to prediction of probability, time and amount of a sales deal closeTools Used: MySQL, Redshift, R, Python, Tableau. Filed a patent on the same. -
Quantitative Finance AnalystBank Of America Apr 2013 - Feb 2014Charlotte, Nc, UsWorking in the Capital Management Group. Analytics using Teradata SQL and Statistical Softwares. -
Data Science InternFacebook Jan 2013 - Mar 2013Worked in product analytics team on Big data projects.* Extensively programmed in Hive, SQL, R, Python.* Machine Learning, Feature Engineering. -
Senior Field EngineerSchlumberger Asia Services Ltd Feb 2009 - Feb 2012Houston, Texas, Us• Supervised the entire drilling operations worth $ 8 million on the rig sites by ensuring optimum utilization of resources and time.• Led and trained cross-cultural teams of 4-7 engineers involved in the entire drilling operation on the rig site.• Supervised and drilled the first ever offshore High Temperature and High Pressure well in Eastern India. Unlocked the future market for the same, worth $ 15 million.
Ankit Jain Skills
Ankit Jain Education Details
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University Of California, BerkeleyStatistics -
Indian Institute Of Technology, BombayElectrical Engineering (Communication And Signal Processing)
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Harvard Business School OnlineLeadership And Strategy
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UdacitySensor Fusion
Frequently Asked Questions about Ankit Jain
What company does Ankit Jain work for?
Ankit Jain works for Meta
What is Ankit Jain's role at the current company?
Ankit Jain's current role is Senior Research Manager, Generative AI.
What is Ankit Jain's email address?
Ankit Jain's email address is an****@****ook.com
What is Ankit Jain's direct phone number?
Ankit Jain's direct phone number is +151048*****
What schools did Ankit Jain attend?
Ankit Jain attended University Of California, Berkeley, Indian Institute Of Technology, Bombay, Harvard Business School Online, Udacity.
What are some of Ankit Jain's interests?
Ankit Jain has interest in Mathematics, Tech Startups, Education, Data Science, Statistics, Financial Markets.
What skills is Ankit Jain known for?
Ankit Jain has skills like Matlab, R, Python, Analytics, Machine Learning, C++, Statistics, Sql, C, Quantitative Finance, Big Data, Linux.
Who are Ankit Jain's colleagues?
Ankit Jain's colleagues are Chamod Herath, Sadhvi M., Ralph Stover, Yi Li, Felipe Lopez, Humphrey Bodicker, Sebastien Speierer.
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