MEDIA & ENTERTAINMENT

HEALTH & SPORTS TECH

AIPSC Demo

I develop advanced AI frameworks by integrating strategic methodologies (SIT, TRIZ, OODA) with rigorous technical standards (ISO, HL7/FHIR).

My expertise lies in architecting Supervisor/Worker agentic flows and Open Source pipelines that scale—from compliant health systems to advanced visual modeling. I leverage Node-Based Workflow Orchestrators and High-Fidelity Generative Video Models (ComfyUI, KlingAI...) to build multi-modal (T2I, I2I, I2V) pipelines that are deterministic, auditable, and production-ready."

METHODOLOGY - Business & Tech Stack

"I view business logic as NLP code""

2025
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HEALTHCARE & SYSTEMS ARCHITECTURE

Rigorous logic, compliance, EMRs, PROs, Medical LLMs, Performance Data

2024

POWA Boxing: Multi-Agent Biometric & Kinetic Coaching

The Build: A sensor-fusion ecosystem integrating POWA Boxing sensors, Polar H10, and HRV4Training data. The system uses a FlowiseAI orchestrator where "Mr. Leonard" (Technical Coach Agent) and "Yoshihiro" (Data Scientist Agent) collaborate to generate adaptive training plans.

The Tech: FLowiseAI, OpenAI GPT o3 model, Pinecone RAG (for boxing methodologies, sports performances data set and training formulas KB), Redis Upstash (memory)

The Goal: Moving from intuition-based training to quantifiable performance tracking (punch speed, acceleration, power, accuracy, HRV recovery).

Project status: Paper published + Data collection in process)

2022

2023
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OutcomeMD: Microservices Migration & API Strategy

Role: Acting CTO & Director of Product.

The Challenge: A legacy monolithic Patient/MD Health monitoring platform suffering from user experience, latency issues and lack of scalability for EMR integrations.

The Build: Led the migration to a Kubernetes-based microservices architecture using gRPC/RESTful protocols. Leveraged AI to rapidly develop (in 2 weeks!) a tiered OpenAPI strategy to embed PROMs (Patient-Reported Outcome Measures) directly into partner EHRs (e.g., AthenaHealth).

The Impact: Reduced latency to <1.5 seconds per request and achieved 99.999% uptime 2. Increased assessment start-to-completion rates from 78% to 95%3. Unlocked $1.2M+ in projected ARR via the new API product strategy4.

2019

Wearables, Machine Learning & Endurance Sports

Role: Research Lead, Athlete (Ironman OC 2020)

The Challenge: Leveraging health, sports, and fitness wearables through machine learning to improve athletic performances for all endurance athletes

The Build: An early application of the ARMSS model (Applied Research Model for the Sport Sciences,) and Generalized Linear Models (GLM) to predict endurance performance using SAS.

The Data: Correlated disparate data points (Garmin 920xt, DNA, Nutrition, HRV…) to determine causal inference between sleep, HRV, nutrition, recovery, form factor to improve athletic performances. Tech s

Project status: COMPLETED within the MIT Machine Learning Program (FIRE HYDRANT HONORS)

Social DreamSense: VR Mental Health & AI Audio

The Build: Developed a text-to-pitch AI prototype serving as a "Trained Nurse" guide for patients within a VR anxiety therapy environment. The system processes real-time speech-to-text to deliver context-aware vocal support during sessions.

The Tech: Open Source LLMs (Medically Trained for Anxiety), Real-Time Speech-to-Text/Text-to-Pitch integration, Chatbot logic.

The Impact: Validated the efficacy of AI-driven vocal guidance, achieving a 25% increase in session retention during preliminary testing.

2023

MEDIA INNOVATION & CREATIVE PIPELINES

Generative workflows, multi-modal storytelling, and automation.

The Build: XCT is proprietary Deep Search multi-agent framework designed for creative science and future product design.

Audience: Game studios • Show-runners • Futurists • Product Designers • Journalists

The Application: THE//HUM∆NØ//CHRØNICLES, a sci-fi series exploring philosophical themes through episodic narratives. XXXX generate highly realistic technologies for game world building.

The Impact: A multi-agent "Research & Design Lab" that transforms abstract ideas into defensible world-building assets. The system orchestrates a 3-stage autonomous flow: DSTF, DPTL & DVMU.

Project status: Version 2 Released (v3 in the works)

Current
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2025

The Project: A unique fusion of filmmaking, extreme adventure sports, and AI.

The Build: Deployed a team of 10 specialized AI agents (Scriptwriter, Producer, Sponsorship Consultant) to simulate an entire production team workflow8.

The Impact: Generated pitch-ready assets (scripts, storyboards, social strategy) valued at $70k+ with a budget of under $10k. Achieved a 52% engagement rate on AI-generated sponsorship campaigns9.

Project status: In selling/acquisition phase.

THE WOLF

2024
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2023

AI Product Strategy Council (demo)

See The Logic In Action.

STAR
Strategic Lead

INSIGNA
Customer Insights

ADAM
Technical Lead

MARK
Market Analyst

TRY it!

The Project: Experience the AI Product Strategy Council (AISPC). A live simulation where four expert agents (RAG training and reasoning — including "Star" (Strategy) and "Mark" (Market Analyst)—debate and build consensus on your product ideas between 4 industry experts.

Tech stack: FLowise AI, RAG Business & Production Innovation framework, Supervisor Worker multi-agent distribution using OpenAI o3Pro, MISTRAL-Large and Tavily.