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Muaz Maqbool
Muaz has 8+ years of product development experience, having co-founded multiple AI startups that have raised over $1 million in funding. As a former VP of AI and C-suite consultant, he's delivered 50+ GenAI POCs for clients, including J&J, SBI Growth Advisory, and automotive AI platforms. With 11 published papers and an M.S. in Machine Learning from Georgia Tech, Muaz maintains 30+ engagements with US enterprises spanning LLM architectures, multi-agent systems, RAG, and cloud deployments.
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Igor Stankevich
Igor is a results-driven quantitative development professional with progressive industry experience in commodities, deep learning, computer vision, and data science. He has demonstrated hands-on financial and AI software development experience with in-depth knowledge of Python. Igor consistently attempts to find the best value-add opportunities and contribute to the team as a whole.
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Blake Byerly
Blake possesses both startup and large enterprise experience leveraging machine learning (deep learning and classical techniques) to drive value. He has applied machine learning to a variety of problems, including network event correlation, incident forecasting, resource-constrained scheduling, and eCommerce applications at scale.
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Syed Ali Azzam
Ali is a hands-on AI Forward Deployed Engineer who partners with senior executives to take AI solutions from prototype to production. He has delivered for Syngenta, Schneider Electric, Toptal, and portfolio companies of Battery Ventures and Apax. Across Python, TypeScript, and AWS, he builds LLM-powered tools, RAG systems, AI agents, and automated workflows using OpenAI and Anthropic APIs, iterating closely with stakeholders to deliver measurable impact.
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Julián Peller
Julián is an autonomous, curious, and self-driven data scientist with a solid theoretical background—an MSc in computer science—and more than 14 years in the software industry. During this time, he has worked in different roles, projects, and types of companies. Julián is also a Python expert and enthusiast and is specializing in deep learning.
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Igor Pejic
Igor is an experienced CTO with over seven years of development expertise. He has a master's degree in artificial intelligence and enjoys the utilization of machine learning in software development. Igor prefers to work on scalability and performance-intensive projects. He holds a work authorization for the UK as a Global Talent visa holder and in the EU as an EU citizen.
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Roman Vlasov
Roman, who has over two decades of expertise in 3D and VR software development and a PhD in computer science, honed his skills at Meta. He's led and worked on projects of all sizes, from scoping requirements to launch, focusing on VR/AR, games, 3D interactive apps, CAD, robotics, and computer vision. With expertise in languages and platforms such as C++, Java, and C#, Roman has designed products including VR arcade games, facial recognition systems, and advanced medical imaging systems.
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Egor Komarov
Egor is a skilled software engineer with several years of experience in iOS app development. Writing code is not only his job but also a passionate hobby that he spends his free time on. Egor has developed and prototyped more than 15 applications of different sizes and complexities—some of which are available in the App Store and are used by people every day.
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Hakob Kirakosyan
Hakob is a machine learning expert and scientific programmer with substantial experience delivering analytics and predictive solutions for business and scientific applications. Additionally, he enjoys developing video games based on augmented reality and remote human-computer interaction paradigms. Hakob is fluent in Python and C++ and has worked as a consultant in a variety of projects, helping clients achieve their goals.
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Utkarsh Gupta
Utkarsh is a senior ML/AI engineer with 11 years of experience turning complex AI problems into reliable, measurable products. He builds production systems across GenAI, RAG, NLP, Vision, MCP, and LLM-based agents, and works the end-to-end ML lifecycle, including data, models, deployment, monitoring, and retraining. His edge is in what happens after the demo: rigorous evaluation, governance, and architecture that holds up at scale.
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Abhilash V J
Abhilash is an ML engineer with 9+ years of experience building production AI systems across generative AI (GenAI), RAG, agentic workflows, NLP, computer vision, and document intelligence. He specializes in Python, LangGraph, FastAPI, PostgreSQL/pgvector, and Kubernetes, and has built multi-agent and source-grounded systems for regulated domains. Abhilash's recent work reduced the pharmaceutical compliance review effort by around 50% and improved RAG relevance across HR and legal use cases.
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