AI / ML Engineer · Applied Scientist · R&D Leader

Probabilistic ML Neuro-Symbolic AI Cognitive Systems Engineering Active Inference NLP & LLMs Computer Vision Agent-Based Modeling

Senior AI / ML Engineer with 15+ years of experience bridging applied research, machine-learning engineering, and cognitive-systems modeling. Expert in probabilistic and variational Bayesian methods, large-scale modeling & simulation, and cognitive-inspired AI architectures. Leads the design of next-generation inference engines and hybrid AI systems integrating symbolic, probabilistic, and neural components. Strong record of technical leadership across biotechnology, aerospace, and simulation industries; published author and patent co-inventor.

Recent Positions

2023 – January 2026

Staff Machine Learning Engineer — VERSES AI

Developed probabilistic ML systems based on variational Bayesian methods for agent-based modeling & simulation. Contributed to hybrid AI architectures inspired by computational neuroscience.

2023

Senior Data Scientist — VectorSolv Corporation

Built Transformer-based LLM pipelines for enterprise document classification, with end-to-end MLOps using Kedro and MLflow on AWS SageMaker.

2022

R&D, AI Engineering — Solid State of Mind

Designed probabilistic ML algorithms for agent guidance, navigation, and control, achieving ~10,000× computation cost reduction versus deep RL baselines.