Ankit Jain Email & Phone Number

California, United States

Menlo Park, Ca, Us

Engineering 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.

Menlo Park, Ca, Us

2020-2022Worked 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.

Menlo Park, Ca, Us

Machine Learning @ Facebook

San Francisco, California, Us

MLops platform backed by Sequoia, Naval Ravikant and Anthony Goldbloom (Kaggle)

Bangalore, In

Bengaluru South, Karnataka, In

Pleasanton, California, Us

Helping advise in graph and NLP technologies to build effective solutions for extracting and insights from text and unstructured data.

San Jose, Ca, Us

New York, Us

Technical Advisor on Machine Learning and Artificial Intelligence.Company was acquired by Fractal

San Francisco, California, Us

This 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.

San Francisco, California, Us

User 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

San Francisco, California, Us

Mentor for Data Science course. Making students fall in love with data.

Bengaluru, Karnataka, In

Runnr 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/

San Francisco, California, Us

Worked 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.

Charlotte, Nc, Us

Working in the Capital Management Group. Analytics using Teradata SQL and Statistical Softwares.

Worked in product analytics team on Big data projects.* Extensively programmed in Hive, SQL, R, Python.* Machine Learning, Feature Engineering.

Houston, 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.

Masters Financial Engineering, Finance, Mathematics, Statistics

Dual Degree (B.Tech +M.Tech), Electrical Engineering (Communication And Signal Processing)

Executive Education, Leadership And Strategy

Self Driving Car Engineer Nanodegree, Computer Vision, Deep Learning, Ai, Robotics, Sensor Fusion