
I work as a Staff AI/ML Engineer in a balanced team bringing product, design, engineering, and clinical expertise into application development.
Part of a balanced team building AI, AR/VR, and mobile applications.
Staff AI/ML EngineerAI engineer & creative technologist.

I build AI applications for clinical research, satellite data pipelines, and creative tools that run locally.
Explore my workCurrently a Staff AI/ML Engineer at Fortrea’s AIML Rapid Development Studio.
Professional work and independent projects.

I work as a Staff AI/ML Engineer in a balanced team bringing product, design, engineering, and clinical expertise into application development.
Part of a balanced team building AI, AR/VR, and mobile applications.
Staff AI/ML EngineerA local studio for turning still images into ambient films, with versioned edits, masked effects, sound mixing, and export.
Product concept and full-stack development
I built daily, terabyte-scale satellite ingestion and integrated sensor data for a water-quality platform.
Lead Software Engineer, then Head of Software
Clinical criteria review, graph data pipelines, live sensor visualizations, and editable Unity scenes across an AI startup studio.
Full-Stack DeveloperFive fictional artists inhabit a wall-mounted museum, generating images and gallery notes locally on a Raspberry Pi.
Concept, software, and hardware integrationA local mathematical-art studio for exploring equations, composing print collections, and planning an office wall.
Concept, interface, numerical rendering, and print workflowTry a broader skill, such as Python, local inference, or leadership.
Select a tool to find related work or experience.
I work on retrieval-based AI applications, integrate local vision and language models, and coordinate generation on a shared GPU. My ComfyUI work also includes a custom node using PyTorch tensors.
I build interfaces, services, and data workflows across professional and independent software projects.
I built daily satellite ingestion at terabyte scale, brought sensor observations into the same platform, and developed ETL and background-processing workflows across other products.
At Verdant, I worked on entity and relationship extraction, clinical concepts, connected rule editors, and live sensor charts. The work joined data modeling with interfaces people could inspect.
From language-driven Unity scenes to a wall-mounted art museum. At Gybe, I integrated field-sensor data and occasionally helped install and calibrate instruments.
I built StillRoom’s mask editor, layered sound preview, image compositor, and export pipeline. With MathRender, I work from mathematical expressions through composition, print proofs, and hanging plans.
I trained a character LoRA for visual consistency and built a ComfyUI pipeline using ControlNet, OpenPose, and AnimateDiff to produce exercise demonstration videos. My broader generative-media work also includes IP-Adapter and reference-guided synthesis.
My engineering experience includes retrieval-based AI applications, Azure OpenAI, Cosmos DB, classical machine learning, web and mobile frameworks, and Linux environments.
I led Gybe’s roadmap and distributed team and now contribute technical direction within Fortrea’s balanced studio. Across my career, I work on evaluation, observability, and MLOps/LLMOps, and use Jira and Azure DevOps to coordinate planning and delivery.


Proactively optimizing clinical trial operations and aligning resources with integrated disease prevalence insights
FluSync explores how disease surveillance and site-level data can guide clinical trial operations. It brings WHO, CDC, and ECDC data into comparative views and follow-up workflows. The paper describes a conceptual tool and simulation.
I contributed to this paper as part of the AIML Rapid Development Studio and am credited in its acknowledgments.


By Nicholas Tufillaro and Adam Belmonte. A report connecting remote-sensing water-quality maps with field measurements.
I contributed to the preparation of this report and am credited in its acknowledgments.
AIML Rapid Development Studio, building AI, AR/VR, and mobile applications as a balanced team.
Read about the studioSoftware roadmap, a distributed team, and hands-on backend engineering.
GybeMaps, machine learning, and satellite and sensor data pipelines.
Products and prototypes across an AI innovation lab and startup studio.
Explore the studio workI’m interested in applied AI, innovation, and creative technology.
henry.kobin@gmail.com