Building robust and scalable modern AI infrastructure to accelerate training, fine-tuning, and deployment — while reducing cost, eliminating bottlenecks, and ensuring zero downtime seamlessly.

Designed and optimized scalable MLOps infrastructure for efficient CI/CD, seamless production deployment, monitoring, and lifecycle management of ML systems. Developed AI models for cybersecurity threat detection and automated network configuration management. Architected multi-agent LLMs systems. Supervised a PhD intern, co-authored publications, and secured a patent in applied AI.

Designed and implemented MLOps benchmarking tools - leveraging experiment tracking and ML pipeline orchestration — to evaluate and optimize ML workflows across internet security, brand safety, digital media trust, and contextual Ad targeting.

Engineered and deployed end-to-end ML solutions - from financial security and fraud detection to sports forecasting, computer vision railway tie defect detection, and an NLP system for resume-job offer matching. Improved anomaly detection in transactional data and efficiently managed the full ML pipeline: data preprocessing, feature engineering, model training, evaluation, and production deployment.

Contributed to applied research projects: shallow gas detection from seabed seismic imagery (BGS); multi-sensor intelligent machining process monitoring (AMRC, co-facilitator); semantic and instance segmentation of 3D point clouds (SenSat), analysis of network metrics on customer perception of reliability (Telus).

Doctoral research in multi-messenger astrophysics, focusing on the combined study of neutrinos and gamma rays with large-scale astrophysical experiments such as ANTARES, HAWC, and KM3NeT. Worked on data analysis, detector performance optimization, and the development of advanced methodologies for high-energy particle detection.

Researched gamma-ray astrophysics with H.E.S.S., worked on detector calibration, performance studies, and data analysis.

Leading a non-profit genetic-genealogy platform dedicated to helping ethnic Circassians reconnect with lost ancestral ties and strengthen unity within the global diaspora. Contributed by researching over 1,000 surnames, building the analytical web portal, implementing AI chatbot interfaces, and developing real-time data infrastructure and dashboards.