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CHRISPIN TSHIANI

@chrispintshiani

Senior embedded engineer blending STM32 firmware, IoT integration, and edge AI for predictive maintenance.

United Kingdom
Message

What I'm looking for

I’m looking for a collaborative engineering role where I can design robust STM32 firmware and PCB-integrated IoT systems—and apply edge AI for predictive maintenance, real-time monitoring, and reliable deployment in real products.

I’m a Senior Embedded Systems Engineer with 10+ years’ experience across firmware, hardware design, and IoT integration. I specialize in STM32-based systems, Modbus, FreeRTOS, and real-time control, building modular firmware that stays maintainable as products scale.

I’ve worked through the full product lifecycle—from feasibility and prototyping to design and deployment—pairing layered architecture with strong C/C++ and system integration. I design production-ready PCB hardware (up to 4 layers) with an EMI/EMC-aware mindset, and I routinely bridge protocols and interfaces to make devices reliable in the real world.

Recently, I led hardware and firmware for a 4-layer, dual-STM32 control board for heat-pump systems, including EMI-aware PCB layout, sensor acquisition, Modbus integration, cascade control algorithms, and cloud telemetry interfaces. I also develop AI/ML predictive maintenance and edge AI models (ground source heat pumps), using tools across the ML stack to support real-time monitoring, anomaly detection, and failure prediction—while building HMI and Python-based tooling to validate device communication and IoT connectivity.

Experience

Work history, roles, and key accomplishments

TS
Current

Senior Embedded Engineer

Teddington Systems

Feb 2024 - Present (2 years 5 months)

Led hardware and firmware design for a dual-STM32 4-layer control board for heat-pump systems, including Modbus fieldbus integration and cascade control algorithms for multi-compressor coordination. Developed protocol bridging to translate proprietary CLI to Modbus RTU and built AI/ML-based predictive maintenance models with Python-based HMI tools for device communication testing and IoT/cloud tel

Education

Degrees, certifications, and relevant coursework

University of South Africa logoUA

University of South Africa

Master of Engineering (MEng), Embedded Systems and IoT (AI/ML)

2025 -

Master of Engineering (MEng) research focused on Embedded Systems and IoT Applications using Artificial Intelligence and Machine Learning for data monitoring and predictive/edge AI use cases. Includes cloud/IoT work such as AWS IoT Core and MQTT for AI telemetry.

University of South Africa logoUA

University of South Africa

Bachelor of Technologies (BTech), Electronics and Electrical Engineering

2022 -

Grade: Cum Laude

Bachelor of Technologies (BTech) in Electronics and Electrical Engineering with a focus on PCB hardware design and layout, including signal integrity and EMC/EMI considerations. Also covered software development & automation aspects for embedded/IoT applications and system interfacing.

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