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Hobie One
Hobie is an AI systems engineer with 20 years of enterprise full-stack experience, now building agentic AI systems. He ships the substrate agents that run on memory, context routing, orchestration, and Model Context Protocol (MCP) tooling. Hobie's recent work includes a desktop human-agent collaboration environment built with Rust, React, and TypeScript, a multi-tenant MCP server with wire-level protocol tests, and an admissions chat agent whose retrieval rebuild cut token spend by roughly 80%.
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 MoreIshita Mukherjee
At Royal Bank of Canada, Ishita led the architecture and delivery of an enterprise agentic AI platform supporting 100+ business users. She is a principal engineer and architect with over 15 years of experience in data and AI/ML for financial services and healthcare. Ishita's expertise spans AWS, Databricks, and Python; she reduced infrastructure costs by 60% while at RBC.
Show MoreAlex Baas
Alex is a 15+ year engineer specializing in high-performance computing and Agentic AI. He builds "Action-Oriented AI" via autonomous workflows, Model Context Protocol (MCP), and optimized GraphRAG pipelines. Alex bridges complex LLM reasoning with production execution using LangGraph, CrewAI, and robust LLMOps. Holding an INSEAD MBA, he combines deep technical mastery of agentic orchestration with strategic business and project leadership.
Show MoreHans Luther
Hans is a full-stack AI engineer who takes systems from architecture to production. In his 19 years of experience spanning engineering and business leadership, he has architected a 100+-microservice platform on GCP with a multi-database data lake and led a global team of 13. Since 2023, Hans has shipped production LLM pipelines, voice AI, and agent orchestration in regulated healthcare, and now uses agent-driven development to ship in weeks what used to take months.
Show MoreSyed Zaryab Haider
Syed is an experienced software engineer with 9+ years in scalable enterprise systems, cloud-native architectures, and distributed applications. An expert in .NET, microservices, React, CI/CD, databases, and agile delivery, he has built REST APIs, AI-driven agents, and robust MCP services. Syed is focused on clean architecture, performance, maintainability, and delivering impactful, high-quality solutions through strong collaboration.
Show MoreAashka Bhadresh Kapadia
Aashka is a senior back-end and AI-first software engineer with expertise in Python, Java, AWS, and distributed systems. She builds scalable microservices, serverless architectures, and AI-powered applications. Currently, Aashka is modernizing enterprise systems to cloud-native AWS platforms and developing MCP-based AI orchestration layers for agent workflows, while delivering AI features such as chat assistants, summarisers, and automation tools to improve productivity.
Show MoreVazgen Tadevosyan
Vazgen is a senior ML/Python engineer with 7+ years of experience across LLMs, GenAI, RAG, computer vision, and agentic/multi-agent systems. He architects MCP-powered AI solutions with custom orchestration, hybrid retrieval, and scalable pipelines. An expert in Python and cloud (AWS, Azure, GCP), he has led teams and delivered production-grade systems grounded in research and real-world impact. He brings strong expertise in back-end, MLOps, and end-to-end system design from data to deployment.
Show MoreUmar Draz
Umar is a principal AI engineer and founder of CodexaAI, with 16 years of experience building production software for global clients. He builds agentic systems that businesses trust with live data: RAG pipelines over per-tenant knowledge bases, MCP tool layers that answer accurately over real records, and approval architectures where an agent can propose a consequential action but never authorize one. He works with Python, FastAPI, Django, TypeScript, and AWS, and scaled platforms to 1M+ users.
Show MoreNane Hambardzumyan
Nane is a software engineer with 7+ years of experience in Python and React. Skilled in algorithms, data structures, and design patterns, she has worked with multiple languages, including JavaScript, Python, and C++, and has applied LLMs to build intelligent agents. With a strong background in web development and AI-driven solutions, she consistently delivers efficient, high-quality software.
Show MoreNakshatra Nahar
Nakshatra is a production-grade AI engineer specializing in agentic AI systems, LangGraph orchestration, RAG pipelines, and Model Context Protocol (MCP) implementation. With seven years of Python expertise, he has shipped multi-agent architectures on AWS Bedrock and Azure AI Foundry. Nakshatra architects live systems, making real decisions at enterprise scale across agriculture, fintech, and developer tooling.
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