• Performing as lead AI/ML Engineer / Solution Architect on various initiatives across the Fortrea technology ecosystem with both internal & external (vendor) teams for AI/ML as well as application development initiatives.

• Driving innovation and securing stakeholder buy-in while aligning cross-functional teams around new products and builds.

• Developing full-stack mobile and web application prototypes as well as machine-learning and artificial intelligence prototypes as part of Fortrea's AI/ML Rapid Development Studio.

• Producing enterprise architecture solution diagrams and technical materials for key executives and Architectural Review Board submissions.

• Member of the Solution Advisory Board, providing support early in the process for new software projects.

• Monitoring consumption, creating resources, and assisting leadership with inquires about our team's Azure subscription.

• Acting as an AI/ML SME, developing and deploying advanced machine learning models while guiding best practices for data-driven solutions across multiple business units.

• Supporting presales efforts as an AI/ML subject matter expert, effectively articulating technical value propositions for clients.

• Oversaw the development and maintenance of product features and data pipelines for GybeMaps, while remaining hands-on-code as the principle backend individual contributor.

• Developed machine-learning algorithms to predict water quality based on multiple parameters.

• Guided high-level strategic decisions to evolve a highly technical data analytics platform, bridging complex engineering challenges with business objectives.

• Led a globally distributed engineering team, effectively managing workflows and ensuring timely deliveries across multiple international time zones.

• Transitioned GybeMaps from a locally hosted beta to a fully launched, AWS-backed cloud product, serving an international customer base.

• Implemented various machine learning models which made predictions around water quality metrics based on satellite data & proprietary Gybe in-situ sensors.

• Designed and implemented an automated, scalable ETL pipeline, enabling ingestion and storage of terabytes of satellite-derived data.

• Rapidly developed full-stack product features in close collaboration with the Head of Product, driving progress toward Product-Market Fit.

• Partnered with physicists and data scientists to translate proof-of-concept ideas into production-ready applications.

• Built and co-architected software solutions for clients in a startup studio environment, delivering robust, scalable systems under tight deadlines.

• Developed machine-learning models to predict outcomes and provide analytics for projects in various industries spanning from healthcare to entertainment.

• Engineered full-stack applications using a Python-centric backend (Flask, FastAPI, Postgres, Celery, Docker) and a JavaScript (React/Redux) frontend, optimizing for performance and scalability.

• Designed and executed ETL processes for data sanitation and ingestion, supporting the analysis of novel datasets and enabling data-driven decision making.