Hire the Best Digital Signal Processing Specialists
in the United Kingdom

If you need someone to tackle signal and image processing, AI and machine learning, data analysis, or Excel/VBA automation—you've clicked the correct link. I'm a self-motivated professional with 20 years of project management expertise and a computer systems engineering background; graduated from the University of Essex, UK. I've guided hundreds of students through academic and industrial projects, and I build things that work: Python pipelines, MATLAB models, VBA tools that replace hours of manual work, and machine learning solutions that hold up in practice. What I work with: Python (Pandas, NumPy, scikit-learn, Matplotlib), MATLAB, VBA/Excel, R, Jupyter, and neural networks. A few examples from my project history: Audio signal processing for hearing aid devices Audio signal-based detection of UAVs AI-based condition monitoring of mechanical systems VBA-based result generation system Image enhancement with DCT pyramid structure Selective encryption of audio, video, and images And the list continues to grow. 4.9 rating on Upwork. Clients across research, engineering, and finance. I ask questions before I start coding, I keep communication clear, and I deliver what I said I would. My goal is the best possible result — regardless of project length or revisions needed. After all, My Clients are My Identity. Got a data problem or a process you want automated? Send me a message.

Lead Design Engineer with Over 13 year experience of embedded systems, FPGA, C, Verilog HDL , MATLAB Similunk and VHDL using Xilinx/ Intel(Altera)and Microsemi tool chain. Microsoft Certified Data Scientist with 5 years of experience in Data Analytics and DevOps. Performed and automated ETL and Machine Learning operations. Deployed Machine Learning techniques to train, evaluate, and deploy models that solve business problems

Machine Learning Engineer specializing in computer vision and MLOps, with deep expertise in neural networks and signal processing. My unique background combines advanced mechanical engineering with cutting-edge computational neuroscience, enabling me to tackle complex technical challenges from multiple angles. I excel at developing and deploying sophisticated machine learning solutions, particularly in: - Computer vision systems utilizing advanced techniques like NeRF and Gaussian Splatting - Deep learning model development and optimization - MLOps and production ML pipeline implementation - Signal processing and sensor fusion systems - High-performance computing optimization Recently led an EPSRC-funded research project developing novel deep learning architectures for neural signal processing, achieving 72.39% accuracy in complex pattern recognition tasks. Previously engineered real-time SLAM and sensor fusion systems for autonomous robotics applications. I bring a methodical engineering approach to machine learning and algorithm design projects, ensuring robust, scalable solutions that deliver real business value. Committed to clear communication and maintaining high standards in all technical deliverables.

Thanks for visiting my profile! I am a fully qualified Electronics Engineer holding a Bachelor's and Master's degree in Electronics and Information Technology (Germany) as well as a Master's in Sensor Technology and a PhD in Physics from the University of Cambridge (UK). With more than a decade of experience in circuit design and embedded programming I particularly enjoy working on • Radar (mmWave and custom broadband systems from 0-24 GHz) • LVDS, mipi-dsi, mipi-csi, parallel rgb, HDMI, gigabit ethernet • High-speed and RF systems (Radar, VCOs, LNAs, PLLs, distributed element filters and couplers from DC to 24 GHz) • FPGAs for signal conversion • ADC conversion/signal processing of sensor data • (Embedded) programming in C, Verilog, Python • Rockchip, iMX8, Nvidia Jetson • ESP32, esp-idf • freeRTOS, Linux, bare-metal • Linux kernel and user space drivers, BSP and device trees • v4l2, gstreamer, mipi-dsi and mipi-csi, camera drivers • Yocto and buildroot Development platforms I use are Nvidia Jetson Orin, IMX8 dev boards (Toradex), Rockchip, ESP32, nrf52, Lattice crosslink.