Hire the Best Digital Signal Processing Specialists
in the United Kingdom

I'm Khuzaima Shahid, a Machine Learning Engineer with a strong focus on AI-driven biomedical solutions, boasting over 5 years of experience across the UK and Pakistan. My expertise includes developing neural networks for complex problem-solving, particularly in healthcare analytics, as evidenced by my pivotal role in projects like the neural model for sleep stage classification at Huru Labs UK and the integrated healthcare platform, LYF Suite, at AI4LYF. Holding an MS in Data Science, I excel in Python, TensorFlow, PyTorch, and AWS, among other technologies. My career highlights include mentoring at NYC Data Science Academy and contributing to groundbreaking AI research and applications. I'm passionate about using my machine learning and AI skills to drive innovation and efficiency, aiming to join a team where I can contribute to meaningful projects and achieve collective success.

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

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.

I’m an Electronics Engineer specializing in digital electronics, FPGA development, and PCB design. I help turn ideas into reliable, production-ready hardware—from early prototypes to deployed systems. My core strengths include: -- FPGA design using Verilog and Xilinx toolchains -- Digital and analog electronics design and debugging -- PCB design and schematic capture using KiCad and Altium Designer -- Embedded development with Arduino and Raspberry Pi -- Hardware-software integration using Python for testing, automation, and validation I work best on projects that require a strong understanding of both low-level hardware and system-level design—whether that’s building custom PCBs, developing FPGA logic, or bringing up new hardware platforms. I value clear communication, well-documented designs, and practical engineering solutions. If you’re looking for someone who can think rigorously, debug efficiently, and deliver clean, dependable electronics, I’d be glad to help.

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.

I am a RF and Antenna design engineer with more than 15 years of experience in modelling, simulating, packaging, and testing of the antenna systems. I was awarded my Ph.D. by Swansea University and my thesis focuses on the next generation reconfigurable antenna system for a modern portable 5G transceivers and IoT. I have published more than 20 journal papers and 30 conference papers. I have experiences in the following categories Antenna design: 1. Pattern reconfigurable and beam steering antennas 2. Wearable antennas 3. Bluetooth and Wi-Fi antennas 4. Antenna arrays and their feeding network 5. Wideband and multiband antennas 6. Frequency Selective Surface (FSS) and Electronic Band Gap (EBG) structures. 7. GPS and GNSS antennas 8. Dielectric resonator antennas 9. PIFA antennas and their integration in the device 10. 5G network planning 11. Circuit design 12. Technical writing 13. RFID antennas 14. Satellite receiver antenna Simulation Software: 1. CST Microwave Studio 2. Ansys HFSS 3. FEKO 4. Winprop 5. Antenna Megus 6. Savant 7. Matlab I am attracted to freelancing project because it keeps me updated with the evolution of modern technology. I always charge according to the workload and never charge any project at much higher or lower rates. I always try to complete the project to the best of my ability and provide a good quality work within the deadline for a reasonable price.