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.

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.

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.

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.