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Alexander Stec
Alex is a founder and AI engineer with a PhD in deep learning and 8+ years of experience building production AI/ML systems, the last 3 of which have focused on LLMs. As a sole technical founder of an AI platform in a regulated B2B vertical, he shipped agentic compliance systems, hybrid RAG at scale, and a generative LLM co-pilot—all running in production with continuous evaluation. Alex is currently focused on projects across AI engineering, machine learning, and data science.
Show MoreJohnmicah Potter
Johnmicah is a principal-level engineer and AI architect with nearly 20 years of experience building large-scale systems for Fortune 500 enterprises and high-growth startups. Anthropic-trained, he ships production agentic AI: multi-agent systems, LLM services, and MCP servers, plus the infrastructure behind them. He founded Integrally's engineering org from zero, holds a granted patent for an AI code-generation process, and has a second AI-agent patent pending.
Show MoreGustavo Franco
Gustavo is a versatile AI architect, lead data scientist, and prompt engineer with 12+ years of experience. He has designed and delivered scalable, production-grade machine learning (ML) and generative AI (GenAI) solutions for government, retail, and enterprise clients. Gustavo is an expert in large language models (LLMs), agentic systems, NLP, MLOps, and cloud-based infrastructure, including Azure and AWS.
Show MoreJesús Martínez
Jesús is an AI and back-end engineer with 14 years building software and 10 years shipping production ML systems. He specializes in LLM applications, AI agents, workflow automation, and scalable back-end services. From prototyping NLP models to deploying multi-agent platforms, he delivers end-to-end solutions using Python, modern AI frameworks (OpenAI, Anthropic, open-source LLMs), RAG architectures, and cloud infrastructure, helping clients move fast without sacrificing quality.
Show MoreMavis Omologe
Mavis is a certified ServiceNow developer with expertise as a system administrator and application developer. Skilled in ITIL v4 and ITSM, she excels in designing, developing, and optimizing scalable ServiceNow solutions. Mavis is proficient in REST API integration, workflow automation, and implementing custom solutions across ITSM, ITAM, and HRSD. Her strength lies in translating business needs into technical solutions to streamline processes, enhance efficiency, and deliver measurable results.
Show MoreRafael Avraham
Rafael is a lead AI solution architect with more than eight years of experience designing and deploying end-to-end AI, data, and cloud solutions for enterprise clients, including LIV Golf, Brighton, and Whirlpool. He specializes in LLM integration, RAG systems, AI agents, MLOps, and solution blueprints, with strong expertise in Python, Databricks, AWS, GCP, and Azure. Rafael helps teams integrate fragmented AI capabilities and build scalable foundations for future AI products.
Show MoreAlona Liuzniak
Alona is an AI architect with 8+ years of experience designing and delivering enterprise AI solutions. She specializes in AI architecture, RAG systems, and workflow automation. Alona has built production-ready solutions across healthcare, banking, manufacturing, and the chemical industry, helping companies like Atruvia transform complex business challenges into scalable, reliable, and user-friendly AI products by combining strong architectural thinking with hands-on engineering expertise.
Show MoreFatih Polatli
Fatih is a solutions and AI architect with nearly 20 years of experience specializing in high-availability, cloud-native systems. He leads full-stack development using Java Spring Boot, Node.js, and modern front-end frameworks such as Angular and React. An expert in AWS and GCP, Fatih integrates advanced AI solutions, including RAG, agentic AI, and LLM fine-tuning. His career spans leadership roles in aviation, eCommerce, and fintech across Europe and the United States.
Show MoreAmin Ahmed Khan
Amin is an experienced GenAI and agentic AI engineer specializing in designing autonomous agents, high-reliability reasoning systems, and end-to-end LLM applications. He is known for architecting scalable GenAI workflows across AWS, Azure, and GCP, combining strong engineering depth with a passion for real-world impact. Amin leverages his expertise in LangChain, LangGraph, and RAG pipelines to deliver production-ready AI systems that enhance automation, accuracy, and business value.
Show MoreAshutosh Tripathi
Ashutosh is an AI architect and hands-on AI engineer specializing in machine learning, LLMs, and agentic AI. He builds production-ready AI systems that transform complex business problems into scalable products through architecture, rapid experimentation, and engineering. Ashutosh enjoys tackling ambiguous challenges where off-the-shelf solutions are insufficient, combining practical AI research with robust implementation to deliver measurable business impact.
Show MoreHassan Bin Zaheer
Hassan is a data and AI architect with 15 years of experience designing enterprise data platforms, cloud architectures, and AI-enabled analytics solutions. He helps clients turn complex data challenges into practical roadmaps, scalable engineering delivery, and measurable business outcomes across Snowflake, Databricks, AWS, and Azure.
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