Principal Research Engineer at Salesforce AI Research where he led breakthrough initiatives such as autonomous agent, deep research agent, agents orchestration, Agentforce advanced RAG & Reasoning Engine, and several deep-research programs that transformed cutting-edge AI into market-defining products.

He was employee #11 and a founding engineer at Vlocity(acquired by Salesforce 2020), inventor of the award-winning Salesforce OmniStudio Mobile Platform and six vertical Industry Apps.

Veteran health-tech executive with 25+ years' experience launching and scaling solutions for healthcare and life sciences. He led healthcare and government business at Vlocity (acquired by Salesforce) and then went on to lead Salesforce's global Health & Life Sciences portfolio.

He also served as CEO of several successful software companies in AI, Care Management, Regulatory Science, and Provider Revenue. He created the award-winning modelH framework and was named a Top Healthcare Software Executive.

AI research leader with deep expertise in large-scale model training, reasoning engines, and multi-agent systems. Weiran led Salesforce AI Research's development of the Agentforce planning engine, CodeGenie agent, and Large Action Model (RL/SFT) pipelines, and recently spearheaded open-source releases including Enterprise Deep Research (EDR), Webscale-RL, and CoDA-1.7B.

A CMU Ph.D. in Machine Learning, he has published 70+ papers, holds 13 U.S. patents, and serves on program committees for NeurIPS, ICML, ICLR, and ACL

Shaping agentic healthcare AI that feels human and interoperates everywhere. He leads remote teams to orchestrate safe, explainable AI agents across EHRs and ecosystems, translating clinical and operational needs into delightful, connected experiences.

Passionate about access, interoperability, and outcomes, he blends empathy and data to deliver tools clinicians trust and patients love.

Senior technology executive with 25+ years of experience leading global pre-sales, solution engineering, and sales enablement. Currently leading forward-deployed engineering at actAVA, he specializes in delivering agentic AI infrastructure that aligns cutting-edge technology with enterprise revenue goals. Steve is best known for scaling Vlocity's global SE team from 10 to 120 members, facilitating its $1.33B acquisition by Salesforce, where he subsequently served as SVP of Global Solution Engineering. A Computer Science graduate, he excels at verticalizing horizontal platforms and serving as a trusted technical advisor to C-suite executives.

Lead Forward Deploy Engineer specializing in customer-facing application of AI with production-grade reasoning services. During his tenure at Salesforce (Agentforce/AI Research), he architected LLM-powered reasoning engines and orchestrated complex multi-agent workflows with a rigorous focus on enterprise reliability and security. Previously a Senior Engineer at Vlocity (acquired by Salesforce), he developed mission-critical hybrid mobile frameworks for field-service applications. At actAVA, Joon brings a unique combination of full-stack mastery and deep expertise in building intelligent, structured AI systems designed to solve large-scale enterprise challenges.

Lead AI Systems Engineer at actAVA, specializing in agentic architectures, RAG pipelines, and production-grade reasoning services. At Salesforce, he served as a Senior Software Engineer across Industries Cloud, AI Research, and Agentforce — architecting LLM-powered reasoning engines, orchestrating multi-agent workflows, and delivering enterprise AI systems with strong reliability, security, and observability. Previously at Vlocity (acquired by Salesforce), he built hybrid mobile frameworks and reusable UI components for iOS and Android field-service applications. At actAVA, Leon brings full-stack expertise across web, mobile, cloud, and AI/ML systems.

Veteran systems architect with over 20 years of experience specializing in designing and scaling massive, distributed backend infrastructure. Currently the Lead Backend Engineer at actAVA.ai, Tao is at the forefront of AI orchestration, developing mission-critical systems that power healthcare AI workflows. His deep technical pedigree is anchored by a career of high-impact leadership, including scaling DoorDash's consumer platform from 50,000 to over 2 million daily orders and establishing the foundational architecture as a Founding Engineer at Kindred. From architecting global data ingestion systems at Yahoo to managing cross-functional engineering teams, Tao combines a mastery of high-performance systems with the strategic vision required to build and sustain modern, AI-driven enterprises.

Experienced AI Researcher spearheading the development of cutting-edge agentic systems and reinforcement learning (RL) frameworks. Previously a Senior Applied Scientist at Salesforce AI Research, Haolin led high-impact projects including LaTRO (foundational RL-based reasoning), Webscale-RL for massive-scale data synthesis, and the xLAM series of agentic LLMs. His technical expertise spans the entire LLM lifecycle—from pre-training to hierarchical planning—and includes the development of CoDA, a diffusion language model for coding. A prolific researcher with 15+ publications in venues like NeurIPS and ICLR, Haolin holds a PhD in Applied Mathematics from UC Davis, specializing in the mathematical foundations of machine learning and tensor decomposition.

Front-end engineering lead at actAVA, specializing in React-based UI systems, design system architecture, and developer-facing tooling. A former Front-end Team Lead at AgTech Labs, Marc has a track record of translating complex product requirements into performant, well-structured interfaces — working closely with design and backend teams to balance usability, complexity, and delivery velocity.

He is the creator and maintainer of open-source projects including m3-ui (a Material 3 component library for React and Tailwind) and minigql (a plugin-based GraphQL framework for Node.js), reflecting a deep investment in reusable, framework-level abstractions. At actAVA, Marc brings full-stack expertise across modern web frameworks, GraphQL APIs, and design system engineering.

Enterprise software leader at actAVA, focused on solution consulting, product strategy, and customer-facing engagement for AI-driven healthcare workflows. With over 20 years of experience across Insurance, Financial Services, Healthcare, and Life Sciences, John combines deep product expertise with industry fluency — translating complex requirements into compelling, customized solutions for both technical and executive audiences.

He brings more than six years of hands-on Salesforce Industries experience, having previously helped scale Vlocity and Global 360 through successful acquisition journeys. At actAVA, John pairs an entrepreneurial mindset with the consultative rigor needed to drive growth, shape product direction, and serve as a trusted advisor to clients navigating enterprise AI adoption.

Senior Product Designer at actAVA with over 10 years of experience across consulting, government, healthcare, and finance. Maurice specializes in user experience and interface design, prototyping, wireframes, information architecture, and high-impact presentations — translating complex domain requirements into clear, usable, and visually compelling interfaces.

He has managed, mentored, and inspired creative teams, pairing strong creative vision with analytical precision to deliver fast, accurate results that adhere to design best practices and organizational standards. At actAVA, Maurice brings the design rigor needed to shape intuitive, trustworthy experiences for healthcare AI orchestration workflows.