Behind the Scenes #

With 5+ years of experience scaling production ML across industries, I lead the solution architecture for agentic systems and shape the technical direction of AI solutions.

I build the underlying platform layer from the ground up, setting engineering standards for observability, runtime safety, dynamic fallback routing, and human-in-the-loop governance. To keep these systems economically viable and performant at scale, I drive AI FinOps initiatives to lower inference cost and latency while preserving model faithfulness through context distillation, adaptive chunk pruning, and multi-layer caching strategies.

Strategically, I accelerate AI adoption by identifying high-value use cases and integrating intelligent workflows directly into the software environments teams rely on daily.

Beyond generative AI, I bring a multi-year track record in classical ML and intelligent systems across academia and industry – specializing in statistical experimentation, real-time sensor anomaly detection, reinforcement learning, and metaheuristics.