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Text of the page (random words):
sergey karayev home sergey karayev i am a software entrepreneur based in the bay area co founded volition a small but well funded team that builds ai powered software previously co founded gradescope if you took a stem class at a major university in the last 5 10 years you ve likely used it co developed full stack deep learning a set of courses on building ai powered software did my phd at uc berkeley working with trevor darrell on computer vision went to university of washington for undegrad originally from russia moved to seattle when i was 11 if you believe i may be helpful in a specific and special way get in touch on x or email goals some beliefs x backup volition the co founders of gradescope re united to start volition a product studio we are currently working on the best way to build software with ai agents superconductor run many coding agents in the cloud each with a live preview interact with them via web ios app slack and more benchmark agents on your codebase and automatically improve their performance website blog recent vibe projects claude code with opus 4 5 is a watershed moment for software development making the first 80 of an app take minutes instead of days i m making my way through a backlog of little software ideas with it ai model comparison table a single page web app to compare ai models by pricing capabilities and benchmark performance website github repo multichat run uvx multichat to receive responses from all four frontier llms github repo pypi x backup run npx x backup path to twitter data export to create a beautiful searchable sortable single page backup of all of your x posts github repo npm example world demographic half life map interactive visualization showing how long until half the population of each country will have been born after a given year page full stack deep learning i co developed an educational program that helps you go from a promising ml experiment to a shipped product with real world impact all of our materials are available for free online 2023 llm bootcamp learn best practices and tools for building llm powered apps charles frye sergey karayev josh tobin materials 2018 2022 bootcamps and courses we hosted three weekend bootcamps in berkeley then taught the course as a university of washington ms course a uc berkeley undergrad course and an online course open to all sergey karayev josh tobin charles frye pieter abbeel uc berkeley 2021 course online 2022 course gradescope i co founded gradescope an ai assisted tool for grading all kinds of exams and assignments gradescope was acquired as a standalone product by turnitin a leading ed tech provider where i worked as head of ai full page handwriting recognition via image to sequence extraction sumeet singh sergey karayev icdar 2021 paper import ai newsletter the batch newsletter design principles of ai assisted grading sergey karayev kevin gutowski turnitin tech blog 2020 blog post analysis of grading times of short answer questions michael yen sergey karayev eric wang learning at scale 2020 paper grades are not normal improving exam score models using the logit normal distribution noah arthurs ben stenhaug chris piech sergey karayev educational data mining 2019 paper how do professors format exams an analysis of question variety at scale paul laskowski sergey karayev marti hearst learning at scale 2018 paper slides the future of grading the gradescope team blog post gradescope a fast flexible and fair system for scalable assessment of handwritten work arjun singh sergey karayev kevin gutowski pieter abbeel learning at scale 2017 paper phd at uc berkeley i finished a phd in computer science at uc berkeley working on computer vision with trevor darrell teaching with pieter abbeel and interning at adobe creative technologies lab and artsy recognizing image style during a summer research internship at adobe creative technologies lab i gathered datasets of photo and painting style and used cnns to classify different visual styles recognizing image style sergey karayev matthew trentacoste helen han aseem agarwala trevor darrell aaron hertzmann holger winnemoeller bmvc 2014 arxiv page pdf writeup sources code and data caffe deep learning framework the deep learning paradigm shift was enabled by open source software including caffe from our berkeley research lab the caffe team was honored by the everingham prize in 2017 caffe convolutional architecture for fast feature embedding yangqing jia evan shelhamer jeff donahue sergey karayev jonathan long ross girshick sergio guadarrama trevor darrell acm multimedia 2014 pdf project code multi color image search during my summer internship at artsy i became interested in color perception and indexing images by color i developed an open source system for quickly searching large image collections by multiple colors given as a palette or by color similarity to a query image project anytime visual recognition features have different costs and different classes benefit from different features a multi class recognition system should dynamically select them to maximize performance under a cost budget this line of work constitutes my phd thesis sources for all of the writeups below are open source anytime recognition of objects and scenes sergey karayev mario fritz trevor darrell cvpr 2014 oral pdf slides poster code dynamic feature selection for classification on a budget sergey karayev mario fritz trevor darrell icml w 2013 prediction with sequential models pdf slides timely object recognition sergey karayev tobias baumgartner mario fritz trevor darrell nips 2012 pdf poster code depth informed object detection using the microsoft kinect we gather a large dataset of indoor crowded scenes we investigate ways to unify state of the art object detection systems and improve them with depth information a category level 3 d object dataset putting the kinect to work allison janoch sergey karayev yangqing jia jonathan t barron mario fritz kate saenko trevor darrell iccv w 2011 pdf dataset practical 3 d object detection using category and instance level appearance models kate saenko sergey karayev yangqing jia alex shyr allison janoch jonathan long mario fritz trevor darrell iros 2011 pdf probabilistic local image features our method for additively decomposing local image patches shows best performance on a novel transparent object recognition dataset we extend the model to multiple layers and apply it to general object classification a probabilistic model for recursive factorized image features sergey karayev mario fritz sanja fidler trevor darrell cvpr 2011 pdf supplement poster slides an additive latent feature model for transparent object recognition mario fritz michael black gary bradski sergey karayev trevor darrell nips 2009 pdf foveal explorer a javascript applet for exploring images foveally by moving a high resolution area around written to gather visual attention data on amazon mechanical turk project cabfriendly a cloud based mobile web application to match up users who request similar trips and would like to share a cab the application is hosted on ec2 and combines several open source frameworks with social networking and location awareness apis project self organizing sparse codes the biological motivation for sparse coding also suggests that the learned receptive field elements should be organized spatially we investigate ways of enforcing a topography over the learned codes in a locally self organizing map approach vs 265 course project pdf bs at university of washington i was fortunate to work first with luis ceze and then steve seitz on undergraduate research at uw seattle in 2019 i was honored by the uw engineering early career award virtual zoom with our application the user can zoom in on a distant landmark using other people s photographs this work builds on a 3d scene modeling back end that infers the viewpoint of each photograph in an unordered collection photo tourism video pdf other stuff some electronic music i made from time to time first person stories a collection of tiny stories best coast tour the summer after my first year in grad school a friend and i biked down from the canadian border to san francisco eurotrip 09 a partial account of a backpacking trip to western europe i did before starting grad school my old personal website updated 06 jan 2026