Lead Ai Solutions Engineer
• AI Solution Engineering & Deployment: Led the design, development, and deployment of an AI-driven enterprise solution, scaling its use across thousands of users, including state-level entrepreneurial communities across the U.S., ensuring optimized model performance and reliability.• Data-Driven User Insight Integration: Conducted 100+ customer interviews to extract critical data points, which informed model training and improved the system's ability to meet core business needs. Translated business and technical requirements into actionable machine learning and engineering objectives to enhance user satisfaction and retention.• Scalable AI Infrastructure: Architected a resilient, service-oriented system leveraging GCP serverless cloud microservices, NoSQL databases, and progressive web applications to ensure 99.9% uptime. Optimized model efficiency and infrastructure for peak and high-volume loads, focusing on data processing speed and load balancing.• Full-Stack Engineering & ML Ops: Engineered a robust tech stack supporting web and mobile platforms, from front-end interfaces to resilient back-end infrastructure, while implementing ML Ops best practices for seamless deployment, monitoring, and versioning of AI models.• Technical Leadership & Mentorship: Mentored a team of five junior engineers, focusing on developing their technical skills in AI and software. Enhanced team efficiency by 30% through collaborative code reviews, model performance assessments, and skill-building sessions in machine learning and data engineering.