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Allen Gary Grimm
Fascinated by the intersection of abstraction and reality, Allen found his calling in data science. Formally trained in machine learning plus a breadth of experience in applying ML as prototypes up through production, his specialty is in finding and implementing tractable solutions to complex data modeling problems: e.g., user behavior prediction, recommender systems, NLP, spam filters, deduplication, or feature engineering.
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Michael Perju
Michael has a degree in AI with a strong background in algorithms and data structures. He was a researcher at the Royal Holloway University of London, delivered a paper titled "Disentangled Representation Learning," and led projects for clients such as Bosch, the Mayor of London, and GLAs Greater London Authorities. He has worked with professors from universities such as UCL and Pittsburgh for UK, EU, US, and African cities on projects from data science, to government, Healthtech, and IoT.
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Mikhail Garvey
Mikhail has worked as a software engineer for more than ten years, initially for startups, joining as an early employee and seeing those companies through years of growth and subsequent acquisition. As a member of small teams, Mikhail has acted as a full-stack engineer, but most of his experience is on the back end. At Google, Mikhail was the technical lead of a team of 15 engineers overseeing the infrastructure backing the service for the consumer home security camera product.
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Stefan Petrov
Stefan has been fascinated by the potential of AI since high school. For the past several years, he’s been making a living as the primary developer of more than ten analytical products using R, Python, Mathematica, .NET, and Java. Recently, Stefans been focusing on operations research-type issues and using random forests, time series models, Keras, TensorFlow for neural nets, PyMC3, Stan for Bayesian models, and linear and MIP programming.
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Michael Karchevsky
Michael has a strong background in machine learning and AI, with diverse research experience in industry and academia. He has successfully led development cycles and has expertise in working with various data types. Michael has strong leadership, teamwork, quick learning skills, and a results-oriented approach. He excels under pressure and can meet challenging deadlines, and these qualifications make him a valuable candidate for positions in ML and AI.
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Zeljko Lazic
Zeljko is a software developer who specializes in back-end data-driven applications. He's experienced in server-side web APIs, web crawling, and data science including data processing, data visualization, and data modeling. Zeljko is most proficient with Python programming but strives to constantly improve his knowledge of JavaScript, Go, and Wolfram Mathematica. He's also experienced with cloud computing (AWS) and databases (MySQL and PostgreSQL).
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Erik Arakelyan
Erik is an ML researcher currently pursuing a PhD in machine learning at the University of Copenhagen (UCPH), specializing in topics of NLP, Knowledge Graphs optimizations, and explainability in NLP. He is looking for opportunities to apply his deep learning and software engineering skills in an exciting and challenging project.
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