Machine Learning, Computer Vision, Graphics, Generative AI, Data Science and Engineering for Content Production, Localization & Promotion at Netflix

Machine Learning, Computer Vision, Graphics, Generative AI, Data Science and Engineering for content production, localization & promotion.

Leading teams of scientists and engineers focused on the application of machine learning to the way we present content on Netflix service as well as how we market Netflix brand and titles. A few projects we work on —► Automatic generation of artwork and video promotional assets.► Deep Learning for high-quality machine translations.► Predicting per title per language demand.► Deep Learning for text understanding (e.g. customer complaint mining).► Operations workflow optimizations via intelligent routing.Publication:Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation, AAAI 2020Match Cutting: Finding Cuts with Smooth Visual Transitions, WACV 2022

Built and managed multiple teams of scientists focused on applying AI, Machine Learning & Differential Privacy to fight account takeovers (ATO), fake accounts, financial fraud on the App Store & Apple Pay, search abuse, fake reviews, App Store piracy & iMessage spam. A sampling of projects:► Unsupervised and supervised transfer learning using auto-encoders & deep neural nets for estimating account trust.► Deep Learning using Recurrent Neural Nets for event sequence mining to secure accounts.► Rank-Support Vector Machines & text embedding (NLP) for the App Store review relevance scoring.► Machine Learning with click stream & text data to increase the App Store search relevance.Patents:- Differential privacy for message text content mining (US20180091466A1)- On-device rate-liming using tailored proof-of-work (US20180089465A1)- Electronic device passcode recommendation using on-device information (62/738,698)

► Mining data for similarity, Collaborative Filtering with missing data, Parallel Machine Learning, Predictive Analytics with text, image & video data► Originally conceived, nurtured and evolved (in collaboration with two team members) a research idea into an IBM Grand Challenge (some other IBM GCs have included Deep Blue, Jeopardy Watson). Over 20 researchers working on the project across three countries.► Worked closely with a major client as we deployed high value analytics solutions tapping into client’s data banks. Provided the technical analytics backbone for the IBM team.

► Invented Radon-Like Features (Connectome Project, MMBIA 2010, with A.V. Reina & H. Pfister) for neuron boundary segmentation in Electron Micrographs. Since then, Radon-Like Features have been successfully used for satellite image analysis, angiogram vessel tree analysis and echocardiogram Doppler image analysis.► Invented Kernel Plurality (ICCV 2011, with A. Banerjee, B. C. Vemuri & H. Pfister), a method for combining multiple classifier outputs or building consensus among voters, in a supervised setting, such that the victory margin for the correct class with respect to all other candidate classes is maximized.

► Worked in various capacities (Teaching Assistant / Research Assistant / Graduate Assistant) as an Alumni Fellow. Alumni Fellowship is awarded to "Graduate students with outstanding undergraduate preparation, a strong commitment to their field of study and demonstrated potential in research and creative activities" www.uff.ufl.edu/scholarships/► One semester my duties included brewing coffee for the department office. A professor in appreciation of my work once commented "Ah, it's so great to see someone correctly label this coffee COLOMBIAN, I was so sick of seeing the incorrect COLUMBIAN tag on it".

Invented MoRF: Morphable Reflectance Fields (CVPR 2010, with M. Jones & T. Marks), a method for enhancing single image face recognition by augmenting single image galleries with automatically generated new relit images. Additionally, built a micro-controller synchronized multi-camera multi-flash face image acquisition dome for data collection.

Medical Image Analysis, Echocardiogram Analysis, HARDI MRI Reconstruction

Assisted professor with classroom teaching, grading and research projects

Studied cellular communication protocols