Rachel is a strategic technology leader who helps organizations turn complex AI ideas into real, working systems. She has led large, cross-functional teams and research efforts, guiding enterprise-scale AI projects from strategy through execution. Known for bridging technical depth with business clarity, she brings teams together to deliver solutions that create measurable impact.

Peter steers the direction of future technology while improving the company’s core products. His background spans machine learning, hyperdimensional computing, and representation learning, with doctoral research focused on hyperdimensional approaches to AGI. He has authored numerous research papers and designed key parts of Servamind’s early systems, including the initial versions of Serva Encoder and the AI Wrapper.

As Head of Product Engineering, Victor focuses on leading the design and delivery of efficient, scalable software that connects innovation with practical execution. With experience in embedded systems, algorithm optimization, and cross-functional development, he works to align engineering decisions with product and business goals. His background in hardware-level optimization and system performance helps create AI products that balance computational efficiency with usability, translating HDC research into scalable, real-world applications.

I started my career in the Army as an Infantry team leader before moving into tech on classified DoD contracts. More recently I've worked in private industry on hardware-sympathetic edge inference using hyperdimensional computing and Tsetlin automata, and built out Adobe's unified Docker deployment framework and internal data pipelines. I specialize in HDC encoding strategies, high-performance algorithm implementation, and custom GPU kernel development for accelerating AI and scientific computing workloads. At Servamind, I'm a research engineer on Chimera.

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I've worked as a software engineer at Gusto and a machine learning engineer at Meta, and before graduate school I was a full-stack engineer in FinTech. My focus is hyperdimensional computing and reinforcement learning — my doctoral research extended brain-inspired computing to deep reinforcement learning, supported by an NSF Graduate Research Fellowship. At Servamind, I'm a software engineer on Chimera.

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I'm a Senior AI/ML Engineer focused on designing, building, and deploying production-grade AI and machine learning systems. My background spans generative AI, large language models, retrieval-augmented generation, AI agents, conversational AI, computer vision, and MLOps. I've led AI initiatives, built scalable ML platforms, and delivered intelligent systems across healthcare, finance, and enterprise applications. At Servamind, I work as an Artificial Intelligence Engineer.

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I'm a technology executive with over two decades of experience building AI/ML organizations that turn research into production across biotech, pharma, automotive, and enterprise software. Most recently I was CTO at Ordaos, an AI-driven protein design company, after earlier roles in data science at Pfizer, voice-platform leadership at Kextil, co-founding a spoken-dialogue company, and a decade of AI/NLP consulting for clients like Ford, GM, and Deloitte. I specialize in taking machine learning from research prototype to deployed production software — spanning deep learning, NLP, conversational AI, reinforcement learning, and biological sequence modeling — paired with executive work in strategy, org design, and multi-team leadership.