Ilia G.

Senior Software Machine Learning Engineer @PDF Solutions

Vancouver, BC, CA

Senior engineer and technical lead responsible for designing and delivering a machine-learning–driven predictive maintenance solution for industrial equipment. Led end-to-end ML development, from data preparation and modeling to deployment on edge systems, while collaborating across engineering, product, and customer-facing teams.• Designed and implemented machine learning pipelines for multivariate time-series sensor data, focused on anomaly detection and predictive maintenance.• Developed feature engineering workflows that improved signal quality and model robustness for noisy, real-world equipment data.• Built and evaluated ML models that outperformed existing rule-based and legacy analytical approaches used in production.• Implemented training, validation, and inference workflows supporting both batch experimentation and real-time streaming data.• Mitigated limited availability of real industrial datasets by applying GAN-based synthetic data generation, significantly expanding training data and improving model generalization.• Deployed and validated ML inference pipelines on edge-class hardware, ensuring low latency and operational reliability.• Architected a Python-based backend with gRPC communication to enable modularity, scalability, and future service expansion.• Developed a Dash/Flask application for model training, visualization, and anomaly inspection using graphical and tabular outputs.• Served as technical lead on an MVP that evolved from an individual proof of concept into a cross-functional project supporting pre-sales engagements.• Hired and onboarded a data engineer, providing technical direction on data pipelines, model training, and experimentation workflows.• Contributed to frontend development using Avalonia to address resource gaps and maintain delivery timelines.• Collaborated with internal teams to align the MVP with existing products, identify shared tooling, and reduce duplicated engineering effort.