Our team consists of scrappy startup founders, academic PhDs, and formally-trained technology consultants . We focus on combining all of our learnings and experiences to build the best products for our clients.
7+ years building technology products for startups and large companies. Strong background in software development and product management. Previously worked at Carbon 5, Intuit, and three LA-based startups. Specialties include Rails, JS sprinkles, Angular, Node, React, Ember, and Ionic.
Worked on projects for Pacific Life, LiveNation, and AutoDesk . Former Back-End Web Development Instructor at General Assembly.
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
15 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.
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.
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.
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
Creator of lots of fun side projects, including a tool for Instagram called Instafriends, which has about 1 mi visits a month (150K uniques)
Senior full-stack developer with 5+ years focused only in modern web technologies such as React/Redux, Angular, Node.js, CSS3, HTML5, Docker and MongoDB.
Worked 5 years as a researcher on digital video compression, artificial intelligence (sentiment analysis) and high performance algorithms.
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.
Full-stack developer with 5+ years experience building products for early stage startups. Former CTO at To The Tens. Currently working on projects in deep learning and data analysis with self-driving cars and cryptocurrency. Experience includes: Solidity, NodeJS, Angular, Ionic, Rails, Python, TensorFlow, Keras, and more.
B.S. from Yale University, focused on statistical analysis of ecological systems
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.
4+ years experience in computer vision, both in classic and deep learning algorithms for object detection (general and task-specific classes like vehicles, pedestrians), gesture reconition, image classification. Expert in model pruning and compression techniques for neural networks. Worked with various deep learning frameworks including TensorFlow, Caffe, Pytorch, Keras.
Master of Applied Mathematics and Informatics from UNN State University.
Computer Vision specialist with high affinity for Deep Learning solutions since they broke out in 2012. Adept in both image-related problems (like object detection, segmentation,...) and 3D-related problems (surface-to-surface registration, single-view 3D reconstruction etc.)
Mastered the field of Computer Graphics to drive deep learning solutions through synthetic image generation. Technical skills include TensorFlow/Keras, OpenCV, Houdini FX and other Machine Learning / Computer Vision / CGI frameworks in both C++ and Python.
Computer Vision expert with 6+ years of experience in projects on digital surveillance, virtual reality, mobile photography, and autonomous driving scenarios. Created Deep Learning solutions for object detection, semantic segmentation, human pose detection and re-identification. Implemented Deep Learning solutions for small edge devices using neural network compression techniques.
Masters in Applied Math and Informatics in field of Computer Vision. Experience with Caffe/TensorFlow/Keras/Pytorch, OpenCV, Python/C++.
Machine Learning Expert with special interest in Deep Learning. Five years of experience as software developer with a mathematical touch. Proficiency with TensorFlow/Keras, Python, C++, Matlab and R.
Master of Mathematical Engineering from KU Leuven University. Affinity for High Performance Computing.
Data scientist and software engineer with 5 years of experience. Active researcher in Machine Learning theory & complexity and bias/variance dilemma and their applications to Neural Networks and Self-Adaptive and Transfer Learning. Interested in Natural Language Processing with work in authorship verification. One year of experience in managing a team of developers and researchers. Python, C/C++, C#, Java. TensorFlow.
Attended the University of Texas at Austin and the University of Houston, where I currently pursue a PhD in Computer Science.
Full-stack developer with 10+ years building technology products for startups and large companies. Strong background in software development and tech team management. Previously Project Lead at Carbon 5 and Originate, two of Los Angeles' premier technology consultancies. Also led tech teams at two LA-based startups and at Maker Studios. Specialties include Rails, Angular, RxJs, Swift, Node, Java.
Worked on projects for CBS, Gap, and Hulu. B.S., Applied Mathematics, Computer Science from Southeast Missouri State University
Worked on projects for Santander Bank, Cambridge English, and Portal Sebrae