Bridging traditional engineering knowledge with cutting-edge AI to deliver measurable impact across energy, chemical, and manufacturing sectors.
Bridging traditional process control with cutting-edge AI to solve complex industrial optimization challenges
Strategic roadmap development and implementation for AI transformation of traditional APC systems through multi-objective optimization, predictive maintenance integration, anomaly detection, adaptive control strategies, and LLM-based explainability.
Development of physics-informed digital twins combining first-principles modeling with machine learning for cogeneration facilities, boiler operations, steam systems, and chemical processes.
ML-powered predictive maintenance using time series analysis, XGBoost, and ensemble methods for equipment failure prediction and process anomaly detection.
Complex optimization systems balancing competing objectives: production vs. energy vs. chemical usage vs. equipment life. Includes polymer grade transitions, desalination operations, and chemical process optimization.
Development of ML-based soft sensors for real-time prediction of unmeasurable quality parameters, replacing 2-4 hour lab delays with 1-5 minute predictions. Enables closed-loop feedback during critical operations.
Practical applications of GPT, Claude, and custom NLP solutions for regulatory compliance, document classification, and AI-assisted development workflows using modern tools (Claude Code, LangChain, multi-agent systems).
What makes our consulting different: deep domain expertise meets cutting-edge AI
15+ years in engineering and data science across Koch Industries, Georgia-Pacific, AkzoNobel, and major manufacturing facilities. We speak your language and understand your constraints.
Physics-Informed ML, Deep learning, LLMs, Generative AI, and Agentic Workflows. We leverage the latest AI advances but ground them in industrial reality.
Every engagement focuses on documented ROI: energy savings, production increases, quality improvements, or cost reductions. $5M+ in proven savings across client portfolio.
Principal Data Science Consultant & Founder
Josh brings hands-on experience delivering industrial AI and engineering solutions that generate measurable business impact. His career spans roles as Principal Technical Expert at Schneider Electric's AI Hub, Data Scientist at Accenture's Applied Intelligence group, and Senior Advanced Process Control Engineer at multiple industrial operations including Koch Industries, Georgia-Pacific, and AkzoNobel.
At Schneider Electric, Josh developed a comprehensive strategic roadmap for AI-enhanced Advanced Process Control, defining how AI transforms traditional APC through five key enhancement areas: multi-objective optimization, predictive maintenance integration, anomaly detection, adaptive control strategy selection, and LLM-based explainability. These and other frameworks supported opportunities ranging from $200K to over $1M across desalination, chemicals, oil & gas, and pulp & paper operations.
Notable achievements include architecting a three-layer AI optimization system for polymer grade transitions, optimizing large-scale desalination operations (achieving 5-7% chemical usage reduction through ensemble ML combining Bayesian GMM and custom Temporal Deep CNN), and leading a cross-functional team leveraging GPT-3 for regulatory compliance document classification at a major California utility.
Josh's unique strength lies in bridging traditional engineering methodologies (Model Predictive Control, digital twins, first-principles modeling) with cutting-edge AI capabilities (LLMs, deep learning, reinforcement learning, physics-informed ML). This combination enables practical AI solutions grounded in real-world industrial constraints, delivering proven results: $5M+ in documented savings across energy savings, production optimization, and quality improvements.
MS, Applied Mathematics
Data Science & Machine Learning Track
Northeastern University | 4.0 GPA
BS, Electrical Engineering
Robotics, Controls & Embedded Programming
Southern Polytechnic State University | 4.0 GPA
• ISA Certified Automation Professional
• Certified Scrum Master (Scrum Alliance)
• Agentic AI with LangChain/LangGraph (IBM)
• AI Agents in LangGraph (DeepLearning.AI)
• Machine Learning in Production (DeepLearning.AI)
• GANs Specialization (DeepLearning.AI)
• Structuring ML Projects (DeepLearning.AI)
• Databases and SQL for Data Science (IBM)
Developed comprehensive AI-enhanced APC strategic roadmap at Schneider Electric and support $200K-$1M+ AI opportunities
Led cross-functional team (5-person) leveraging GPT-3 for regulatory compliance at Accenture for California utility conglomerate
Delivered predictive maintenance model achieving 92% accuracy with $800K annual savings for major ISP
Developed digital twin solutions at Capstone Technology delivering typical savings of $1M+ annually in energy costs with 50-80% reduction in steam system variability
Delivered $1.5M in total energy savings at Georgia-Pacific using model-predictive supervisory controls for lime kiln and cogeneration facility optimization
Ready to transform your industrial operations with AI?
Whether you're looking to optimize existing processes, implement predictive maintenance, or develop a strategic AI roadmap for your operations, let's talk about how KLDG Consulting can help deliver measurable results.
Available for consulting engagements, strategic advisory, and technical implementation projects