13 years development experience spending both work & free time developing dynamic, UI rich websites & apps for a wide variety of applications & businesses.
Worked on projects for Walgreens, Toyota, Tokidoki, Luma Pictures, Red Cross, Get Ur Good On (Miley Cyrus' Charity), Flickr (owned by Yahoo). Creator of Tipsy PHP Framework, OS Gallery, OS File Manager, and many other fun things.
Data scientist with 15 years experience using statistics and machine learning to analyze datasets in physics, finance, and online petitions. Interested in opportunities involving machine learning, deep learning, and distributed computing as a means of processing and analyzing large datasets.
A.B. Magna Cum Laude in Chemistry & Physics from Harvard College and Ph.D from Cal Tech in Experimental High Energy Particle Physics
Developed a predictive model for student dropout risk using machine learning as senior data scientist at Bravi Software. Fluent in Agile principles, specializing in mathematical modeling, statistical analysis, and feature extraction from large data sets. Programming experience in Python, C#, Matlab, and Java.
PhD in Physics (quantum computing), Stanford. BA in Physics, Princeton. First to initialize and optically detect the spin of a single electron trapped within a F:ZnSe semiconductor system
Over 5 years of Agile Product Management experience. Worked at an award-winning international design firm (RKS) and as an early hire at 3 high-growth startups in LA that have a total valuation of $250M+.
Former Product Lead @ Vytmn. Worked on projects for Google, Unilever, Sharp TV, and Surf Air. Has experience in UI/UX Design, Product Management, Product Launches, Early Traction, Rapid Prototyping, HTML/CSS, User Research. Practitioner of RKS' Psycho-Aesthetics design philosophy.
Creator of lots of fun side projects, including a tool for Instagram called Instafriends, which has about 1 mi visits a month (150K uniques)
3+ years of experience as an iOS Team Lead at RideScout (acquired by moovel Group). Previous to that, worked as a Systems Engineer for 4 years at Raytheon, L3, and RIM (makers of Blackberry).
Proficient in C++, Java, iOS, Android, and agile methodologies. Interested in consumer-facing mobile applications and data systems. BA in Physics and Mathematics from Univeristy of Texas.
Over 10 years of experience working as a full-stack developer, including 9 years developing for the Brazilian Social Security administration.
Experience in many languages, including PHP, Ionic, Node.js, AngularJS, MySQL, and more. Especially talented at getting all the pieces of a project to fit together.
Specialist in deep learning, machine learning, and traditional computer vision. Over 8 years software development and data science experience. Previously worked at Intel, Cisco, and various startups.Specialties include Python, Tenserflow, Theano, Java, C#.
Masters in Electrical Engineering (GPA 4.0) in the fields of deep learning, computer vision and medical imaging from McGill University. Double B.Sc. in Electrical Engineering and Physics Magna Cum Laude from Tel-Aviv University.
Experience in applying predictive modeling to real world systems as well as multivariate testing and statistical analysis for marketing campaigns. Undergraduate research in experimental particle physics using machine learning (SVMs) to reconstruct rare particles in heavy ion collisions. Programming experience in Python, Matlab, R, and C++.
PhD in Physics (string theory), UCLA. BA in Physics, Mathematics, UC Berkeley.
Built and scaled multiple businesses over the last 8 years. Started one-click food ordering site in senior year of Yale that sold over $300K of a single sandwich. Launched Crunchbutton, on-demand food ordering business, raised $2.5M seed round, grew 30% MoM till early 2016 to $3M in annual food sales, managed product and growth.
Deep learning specialist. Experienced in building high-impact deep learning architectures, in object detection and recognition, and image captioning. Master’s thesis on large-scale deep reinforcement learning.
Winner of hackathons including 1st place analysis at New York City’s 2015 Data Hackathon. Contributor to TensorFlow and author of open source libraries, including words2map for generating vector embeddings of unknown words. Skilled and experienced in augmented reality and real-time big data visualization and analysis.
Product conscious software engineer with specialization in computer vision, natural language processing, data mining and analysis.
5+ years experience building startups in both technical and business realms. Interested in opportunities involving machine learning, deep learning and distributed computing.
BA+BS in Economics and Urban Planning with concentration in Math from Cornell University.