Matthew Kocisak

CEO

Houston, Texas, United States12 yrs 10 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in building AI strategies for competitive advantage.
  • Proven track record in leading high-impact data science teams.
  • Specialized in ethical and explainable AI solutions.
Stackforce AI infers this person is a leader in AI and data science within the energy and commodities sectors.

Contact

Skills

Core Skills

Ai & Ml StrategyData ArchitectureData ScienceAi ImplementationAi DevelopmentMachine Learning

Other Skills

AI & ML Strategy & RoadmappingIntelligent Agents & Conversational/Autonomous SystemsData Architecture & Infrastructure ModernizationModel Deployment / MLOpsTime-Series ForecastingEthical, Transparent & Interpretable AIData-driven strategiesTechnology evaluationAI and data science capabilitiesGenerative AIPredictive modelingAI architecturesRisk analyticsAutomationData utilization

About

I bring a scientific mindset to building smarter systems and leading high-impact teams. As an AI executive and advisor, I help organizations translate complexity into clear vision and strategy — with a focus on scaling impact, reducing risk, and working smarter. I have a proven track record of building capabilities that deliver lasting competitive advantage in fast-moving markets. I’ve led AI and technology functions in demanding, global environments, collaborating with exceptional talent. My approach is grounded in fundamentals: applying core principles in new ways to unlock opportunities. Whether modernizing legacy systems or designing next-generation AI architectures, I focus on solutions that are explainable, scalable, and aligned with business strategy. The clients and teams I work with see technology not as an end in itself, but as a tool to sharpen decisions, remove friction, and elevate people to focus on what matters most.

Experience

12 yrs 10 mos
Total Experience
6 yrs
Average Tenure
10 mos
Current Experience

Green canyon ai

Principal

Jun 2025Present · 10 mos

  • I lead Green Canyon AI LLC, where I help SMBs and startups unlock value through AI / machine learning, modern data infrastructure, and intelligent forecasting. My focus is on turning complex data into decision-ready insights with clarity, scalability, and ethical design.
  • What I Do:
  • AI & ML Strategy & Roadmapping
  • Intelligent Agents & Conversational/Autonomous Systems
  • Data Architecture & Infrastructure Modernization (ETL, pipelines, real-time / batch systems)
  • Model Deployment / MLOps - making models production-ready and maintaining them over time
  • Time-Series Forecasting (especially for finance, energy, and related domains)
  • Ethical, Transparent & Interpretable AI - ensuring solutions aren’t just powerful, but trustworthy
AI & ML Strategy & RoadmappingIntelligent Agents & Conversational/Autonomous SystemsData Architecture & Infrastructure ModernizationModel Deployment / MLOpsTime-Series ForecastingEthical, Transparent & Interpretable AI+2

Ally equity partners, llc

Advisor

Oct 2022Present · 3 yrs 6 mos

  • Advise private investors on data-driven strategies to identify and acquire promising, tech-focused businesses. Leverage deep expertise in data science and technology to evaluate platform integrity and create an effective strategy for modernization and implementation of artificial intelligence to drive growth and scalability.
Data-driven strategiesData scienceTechnology evaluationAI implementationData ScienceAI Implementation

Castleton commodities international

Executive Director, Data Science

Oct 2021May 2025 · 3 yrs 7 mos · Houston, Texas, United States

  • Led the development of AI and data science capabilities to enhance performance in global energy trading. Built and scaled a high-performing team focused on machine learning, generative AI, and predictive modeling — delivering systems that drove strategic decision-making and operational efficiency across the firm.
  • Designed and deployed scalable AI architectures for price forecasting, asset valuation, and risk analytics
  • Led firm-wide initiatives in generative AI, enabling automation of complex workflows and unlocking new uses of unstructured data
  • Collaborated with trading desks, engineers, and senior leadership to align technology strategy with business goals
  • Embedded scientific rigor into modeling processes — focusing on explainability, scalability, and competitive edge
  • Established a center of excellence in applied AI, positioning the firm for long-term innovation leadership
AI and data science capabilitiesMachine learningGenerative AIPredictive modelingAI architecturesRisk analytics+2

Koch supply & trading

Manager, Data Science

May 2013Oct 2021 · 8 yrs 5 mos · Houston, Texas

  • Built and led a data science function within a global commodities trading firm, focused on scaling analytical capabilities, modernizing infrastructure, and embedding machine learning into trading workflows.
  • Established and grew a multidisciplinary team of data scientists and developers to support strategic trading decisions across energy, agriculture, metals, and freight markets
  • Delivered predictive models and decision-support tools using prices, fundamentals, sentiment, and regulatory data — enhancing market visibility and execution
  • Developed reusable analytics frameworks and microservices adopted across desks, accelerating insight generation and reducing duplicated effort
  • Partnered closely with trading, risk, and commercial leadership to ensure data initiatives were aligned with P&L goals
  • Earlier roles included Senior Market Risk Analyst and Quantitative Market Analyst, focused on pricing, risk modeling, and scenario analysis
Data science function buildingAnalytical capabilities scalingMachine learning embeddingPredictive modelsDecision-support toolsData Science+1

Education

Boston University Graduate School of Management

Master of Science (MS) — Mathematical Finance

Jan 2013Jan 2015

The University of Tulsa

Bachelor of Science in Business Administration — Finance

Jan 2009Jan 2013

The University of Tulsa

Bachelor of Science — Applied Mathematics

Jan 2009Jan 2013

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