Control Software, Performance Tuning, Process Optimization & Machine Intelligence.
Specializing in deterministic embedded control software, high-power powertrain tuning, edge condition monitoring, and industrial process optimization.
Services
Embedded Systems & Control
Model-based software development for vehicle control units, industrial PLCs, and mission-critical subsystem automation
- Ground-up system design and development
- Legacy codebase modernization & feature additions
- Electric drive & actuator performance optimization
- On-site field commissioning & dynamic tuning
Process Optimization
System-level performance audits for industrial and heavy processing facilities to uncover bottlenecks and increase operational yield.
- End-to-end plant mass balance & dynamic throughput modeling/simulation
- Operational bottleneck identification & cycle-time reduction
- Yield maximization & resource flow diagnostics
Feasibility Studies
Dynamic modeling and simulation to evaluate performance gains and operational value for machine retrofits, upgrades, or complete overhauls.
- Electrification & hybrid-drive duty-cycle simulation
- Fleet energy demand & battery sizing evaluations
- Brownfield retrofit analysis
Machine Condition Monitoring & Edge ML
Deploying intelligent edge diagnostics onto operational equipment to capture failure modes before catastrophic downtime.
- Remote telematics integration
- Anomaly detection, fault classification & predictive maintenance
- Lightweight ML pipelines on embedded targets
Experience & Technical Capabilities
Demonstrated software architecture, real-time control, and condition monitoring systems deployed across industrial machinery, mobile equipment, and experimental platforms.
Directional Drilling & Autonomous Steering Logic
Architected multi-controller software architecture for specialized industrial drilling machinery operating under deterministic real-time communication constraints.
- Dead-reckoning navigation algorithms, automated centering routines, and dynamic thrust-vector course correction.
- Configured high-frequency industrial fieldbus communications for multi-node PLC synchronization.
Mobile Powertrain & Heavy Subsystem Controls
Control software, state machines, and hardware integration across heavy electric vehicles and high-power auxiliary subsystems.
- Programmed traction drive logic using speed, torque, and current control modes, including hill descent, regen smoothing, and hill-hold routines.
- Wrote control software for heavy auxiliary equipment, including a 200-tonne winch, 380 hp diesel genset, and hydraulic power packs.
- Integrated charging and thermal subsystems, including CCS2 fast-charging handshakes, charge controllers, and battery/thermal management units (BTMU/TMU).
- Implemented auxiliary electric pump controls, tuning dynamic response to prevent pump overspeed during off-load transients and automating start/stop ramp sequences.
- Developed operator HMI screens, live diagnostic routines, and service-mode override sequences.
High-Power Hybrid Powertrain Modeling & Field Telemetry
Duty-cycle simulation, sensor instrumentation, and empirical loss modeling to evaluate equipment power demands and validate performance on physical builds.
- Developed a dynamic MATLAB vehicle model for a haul truck tramming across GPS-mapped mine road profiles and planned ramps.
- Modeled dynamic connect/disconnect cycles on HV DC power rails to evaluate on-grade power boost, battery state-of-charge, and required rail lengths.
- Derived an empirical total loss model from multi-channel CAN telemetry and GPS logging to reconcile theoretical power envelopes against actual as-built hybrid rig performance in the field.
Commercial Vehicle Auxiliary Pumping Controls
Implemented robust control logic, state machines, and operational safeguards for electric auxiliary pumping systems on commercial platforms.
- Engineered smooth automated start-up, prime, and shutdown sequences to minimize hydraulic and electrical line transients.
- Developed pre-operational safety routines, including frozen pump detection and mechanical stall prevention.
- Implemented secure maintenance override sequences ("cheat codes") and diagnostic modes for shop technicians and field calibration.
Data-Driven Mechanical Fault Classification & Edge Deployment
Conducted advanced research evaluating data-driven machine fault detection algorithms, sensor feature extraction, and computational constraints on edge computing hardware.
- Constructed an automated electromechanical testbed to generate high-resolution vibration datasets covering diverse mechanical failure modes.
- Evaluated deep learning architectures (1D-CNN, MSCNN) and lightweight ML pipelines for real-time inference viability on embedded targets.
High-Speed Data Acquisition & Sensor Calibration
Configured end-to-end hardware-in-the-loop and laboratory instrumentation platforms for real-time sensor processing and dynamic electromechanical testing.
- Deployed National Instruments PXI and modular DAQ hardware for multi-channel, high-frequency physical data capture.
- Calibrated analog transducers, digital IO-Link sensors, and encoders for precision state tracking.
Tools & Capabilities
Practical proficiency across real-time hardware, industrial communication stacks, and high-speed data acquisition.