Adam Dejans
Technical Account Manager @Gurobi Optimization
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WORK HISTORY
Technical Account Manager @Gurobi Optimization
Detroit, MI, US
Scaling optimization for the real world Design, implement, and optimize large-scale MIP and LP models, leveraging Gurobi APIs and advanced parameter tuning to achieve peak solver performance. Collaborate with engineering teams to make decisions for deploying optimization at scale: designing containerized microservices, Kubernetes orchestration strategies, load-balanced solver clusters, Databricks-native pipelines, CI/CD automation, and cloud-agnostic deployment patterns that meet stringent enterprise SLAs. Partner with enterprise clients to align optimization strategy with business objectives, driving data-informed decision making and measurable operational efficiency. Serve as a trusted technical advisor, bridging the gap between algorithmic innovation and real-world application through workshops, training, and solution design.
EDUCATION
Udacity
Artificial Intelligence Nanodegree, Artificial Intelligence
South Lake High School
Diploma, General Studies
Oakland University
Masters of Science, Industrial Applied Mathematics
Oakland University
Bachelor's of Science, Mathematics
Udacity
Java Web Developer Nanodegree, Java Web Development
SKILLS
ABOUT ADAM DEJANS
For over a decade, I’ve specialized in turning AI from a buzzword into a catalyst for profitable, sustainable, and future-proof enterprises. My work revolves around decision intelligence, multi-objective optimization, and enterprise AI adoption, ensuring organizations don’t just use AI but thrive because of it.Over the years, I’ve led large-scale AI transformations within Fortune 50 environments, orchestrating complex supply allocation and inventory optimization initiatives. By combining operations research, cloud-based MLOps, and reinforcement learning, I’ve developed end-to-end AI solutions that scale globally, increase production capacity by tens of thousands of units, and generate hundreds of millions in added profit. Whether it’s building AI-powered recommendation engines that optimize billions of dollars in inventory or forecasting systems that align production with real-time market dynamics, my focus is always on driving measurable, strategic impact.But implementing AI at scale isn’t just about models and code—it’s about influencing C-suite stakeholders, managing change, and embedding AI into an organization’s very DNA. I’ve partnered with executives and cross-functional leaders to ensure AI insights become actionable, real-time decisions that align with business objectives. That means navigating complex governance, bridging AI innovation with operations, and ensuring agile, data-driven cultures can flourish.My expertise spans ML frameworks, cloud AI (AWS, Azure, GCP), PySpark, distributed systems, and microservices architecture—tools that empower enterprise-grade scalability. Yet, I believe tools are secondary to the vision and strategy behind them. True AI success comes from orchestrating a multidisciplinary approach, weaving together data science, operations research, and executive strategy to drive top- and bottom-line growth.If you’re an organization looking to elevate AI into a competitive advantage—balancing profitability, sustainability, and market share—I’m ready to help you chart that course. Let’s redefine how decisions are made, seize opportunities in uncertainty, and unlock long-term competitive advantage through AI.Send me a message or connect—let’s talk about transforming your business with AI-driven decisions.
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