• Partner with Product and Data Science teams on ML and optimization models to make data-driven decisions that increase supply chain efficiency• Lead a high-functioning team to reliably deliver high-impact results with agility and a relentless customer focus.• Build trust and empower collaboration through clear communication, active listening, and a focus on shared goals.• Develop a culture of psychological safety that fosters innovation, continuous learning, and high performance.• Drive strategic engineering decisions, building consensus with stakeholders to deliver business value that balances cost, quality, and speed.• Create long-term roadmaps that align with business strategy to continuously innovate and improve across multiple organizational functions.• Maintained a 100% Net Promoter score during my tenure.

• Supported the development and cloud-based deployment of dozens of AI models in Python for decision-making and prediction (IP and MILP optimization, heuristic and data-driven ML).• Led the creation of a platform to serve, scale, and monitor AI models running tens of thousands of jobs per day.

• Provided strategic leadership during this startup's launch.• Single-handedly built their entire SaaS product.

• Collaborated with clients in healthcare, education, and communications to develop custom solutions that met their unique business requirements.• Cultivated strong relationships, resulting in repeat business and referrals.

• Led the implementation of infrastructure serving a million consumer devices. • Managed a team of six, using agile development methodologies.

Led a full stack development team of three Java programmers as a player-coach, developing backend, e-commerce, and customer-facing support for more than a dozen products. Hired, mentored, and retained the members of my team. Refactored legacy production systems to address long-standing technical debt, improve service uptime, increase application performance, and decrease support costs.

Architected, built, and owned the Java services to support two new products, collaborating with firmware engineers to ensure interoperability between device hardware and software services. Identified and addressed potential points of failure in code shared across the product line.