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Nathan Faber
Nathan is a problem solver at heart, having worked as a chemical engineer, financial data scientist, and portfolio manager. He loves diving into messy datasets to uncover patterns and leverage the data to benefit the business. His quantitative and qualitative analysis skills in machine learning, visualization, and model creation, paired with his attention to detail and development experience in various programming languages, make him an ideal candidate for tackling any project.
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Sarmad Ali
Sarmad has 15+ years of software engineering experience and specializes in Python, Node.js, Go, Android, iOS, and cross-platform development. He is skilled in designing scalable architectures and secure mobile payments and banking apps with DevSecOps. Sarmad is highly proficient in LLMs, vector databases (Chroma and Pine Cone), LangChain, OpenAI Gym/GPT, Hugging Face models, Google Vertex AI, and big data concepts. He is committed to driving innovation and delivering exceptional results.
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Druce Vertes
Druce has a career that spans decades, and during that time he's worn many hats. Recently, he's been consulting on projects involving machine learning, alternative data, predictive analytics (Python, Sklearn, Keras, and TensorFlow). He's also worked as a quantitative analyst, IT manager, and developer with leading hedge funds and Wall Street firms and even served for three years a the CTO of a $2 billion long/short-equity hedge fund.
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Akash Singh
Akash is a senior ML/AI expert with 5+ years of industry and 6+ years of academic experience, holding a doctorate in Trustworthy AI. He specializes in deep learning, deep reinforcement learning (RL), computer vision, NLP, and data science tasks, including churn prediction, fraud detection, classification, and regression. Akash has led teams and delivered full end-to-end model development, deployment, and productionization.
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Michał Bieroński
Michał has over nine years of experience in machine learning, ML engineering, and software development. Recently, he has built and shipped production ML systems at scale: send-time optimization, channel allocation, and campaign prioritization, plus the simulation, MLOps, and data-engineering infrastructure behind them, serving enterprise clients on a platform processing trillions of events a year. Michał's earlier work spans conversational AI, NLP, computer vision, and time series forecasting.
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Ben Summers
With a PhD in pure maths, Ben would describe himself as an academic at heart, which means he is deeply passionate about his work. Since finishing his PhD in 2012, he has worked professionally as a back-end and data engineer for a large global company and a small startup. Since 2015, he has been obsessed with machine learning, especially neural networks, and enjoys applying these techniques to solve real-world problems. Ben has been freelancing via Toptal since 2019.
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Nguyen Phan Khanh
Khanh is a machine learning expert specializing in natural language processing (NLP) and deep learning. With over four years of experience in machine learning and two years as a full-stack developer, Khanh has proven to be an invaluable contributor to both product and consultant companies. He is passionate about and excels in building AI services from scratch.
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Esat Kalfaoglu
Esat obtained his master's degree and is currently finalizing his PhD studies on deep learning topics. He has a strong background in object detection, action recognition, panoptic segmentation, and deep reinforcement learning. Esat is greatly interested in transformer-based architectures.
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Martin Mirakyan
Martin has several years of experience in machine learning and full-stack development while working for companies like Meta, Picsart, and YerevaNN Research Lab. He specializes in full-stack web development and AI and has completed many projects in this field. Martin is an exceptional communicator—with frequent reachouts—and has experience working in all types of teams, from small (five members) to large companies like Facebook.
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Vahan Martirosyan
Vahan is a data scientist with years of experience building end-to-end ETL pipelines. He is adept at leveraging cutting-edge tools in NLP, time series analysis, computer vision, geospatial data analysis, network analysis, and tabular data analysis to meet project needs. Vahan employs a holistic approach to data science and AI consulting and enjoys deep-diving into the business context underlying his data science projects.
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Surbhi Gupta
Surbhi, previously a CTO at a GenAI startup and assistant professor at MUJ, is a generative AI, ML, and NLP expert with 5+ years of experience. She has designed and developed ML-based end-to-end solutions for startups at Toptal and Fortune 500 clients at Utopia. Her expertise includes ML, deep learning, NLP, computer vision, LLMs, GPT, AI, MLOps, and AWS. Surbhi solved problems in EAM, marketing, finance, chatbot, and crypto industries. She published research in robotics and optimization.
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