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.

I’m Amir, a Python & MATLAB developer with 9+ years of experience in biomedical engineering, specializing in AI, machine learning, and deep learning for medical signal and image analysis. I design and build end-to-end intelligent systems that combine AI, healthcare data, and scalable software architecture to solve complex real-world problems especially in medical and clinical domains. Highlight Project ✅ AI-Powered Precision Medicine & Multi-Omic Health Platform Designed and developed a full-stack healthcare intelligence system for genomic analysis, clinical decision support, and personalized health recommendations. Key contributions: ✔ Built a multi-omic data integration system (genomics, lab data, microbiome, epigenetics, wearables) ✔ Developed an AI-powered clinical insight engine using multi-model LLM architecture ✔ Implemented genomic analysis pipelines (SNP interpretation, polygenic risk scoring, pathway analysis, drug-gene interactions) ✔ Designed scalable FastAPI backend with structured, production-ready APIs ✔ Developed modern Next.js + TypeScript frontend with advanced dashboards and visualizations ✔ Created AI health assistant with contextual understanding and multi-step reasoning ✔ Built automated reporting system (clinical summaries, PDF export, structured outputs) ✔ Implemented patient management system with role-based access control (RBAC) ✔ Ensured security & compliance-ready architecture (JWT auth, encryption, audit logging) ✔ Containerized and deployed using Docker & cloud infrastructure Core Skills ✔ Python (Advanced) – FastAPI, data pipelines, AI systems ✔ MATLAB – signal processing & algorithm development ✔ AI/ML & Deep Learning – TensorFlow, PyTorch ✔ LLM Integration & Prompt Engineering ✔ Medical Signal Processing – EEG, ECG ✔ Medical Image Analysis – MRI, CT, X-ray ✔ Genomic & Multi-Omic Data Analysis ✔ Full-Stack Development – Next.js, TypeScript ✔ REST API Design & Scalable Architecture ✔ Data Visualization & Dashboard Design ✔ Docker & Cloud Deployment ✔ Security & Healthcare Data Handling (HIPAA-aware design) ✔ Feature Engineering, Classification, Clustering Selected Projects ✅ Sleep Apnea Detection Developed a machine learning pipeline using wrist actigraphy signals with advanced feature extraction. ✅ Skin Cancer Diagnosis (IEEE Publication) Built a reinforcement learning-based model for automated diagnosis. ✅ Autism Spectrum Disorder Detection (SN Computer Science) Designed an intelligent ASD diagnosis system using ML techniques. ✅ Brain Signal Analysis Applied CNNs & LSTMs for Parkinson’s disease and ADHD detection. ✅ EEG & ECG Processing Systems Implemented QRS detection, EEG clustering, and advanced feature extraction pipelines. ✅ Medical Image Classification Trained YOLO-based models on MRI scans with image enhancement techniques. ✅ Neurological & Psychiatric Disorder Detection Developed deep learning models for epilepsy and bipolar disorder classification. ✅ Bone & Lung Imaging Analysis Used Inception-v3 and Hough Transform for fracture and lung disease detection. Research & Academic Work ✔ Published ML researcher (IEEE & SN Computer Science) ✔ Peer reviewer at Frontiers in Neuroscience ✔ Strong background in applied AI for healthcare diagnostics What Drives Me: I’m passionate about building AI-powered healthcare systems that create real-world impact from signal processing to full-scale intelligent platforms. I’m always open to challenging projects in: Medical AI Healthcare software systems Intelligent data platforms Deep learning & advanced analytics Let’s build something impactful together.

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.

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

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.

I am a versatile professional with expertise in image processing, artificial intelligence, data mining, software engineering, software design and project management. I hold a PhD in Computer Science (image processing, pattern recognition and data mining) from the University of Warwick, UK. I have more than 15 years of experience in research and development of novel algorithms and solutions in computer vision, compression, data science and machine learning. I have designed and developed software solutions for multi-nationals (Philips, Acer etc.) as well as startups (StradosLabs, IT-Jim.com and Quartics etc.). I have also led projects and managed the development of novel products from design to delivery ensuring agile development and comprehensive testing. I have also taught computer science (subjects: computer vision, image processing, data mining, machine learning, software engineering and software project management) at the graduate and post-graduate level. I am actively looking for projects in the following domains: Signal, Image and Video Processing with Artificial Intelligence • Expertise in multiple signal and image processing techniques namely multi-resolution analysis using wavelets, PCA/ICA, Fourier analysis, edge detection, features extraction and representation, image/video compression (MPEG4, H.264, JPEG etc), image transformation and enhancement and machine learning and deep learning (CNNs, semantic and instance segmentation, recognition and classification). • Developed highly successful products/algorithms in the area for Largesense.com, IT-Jim.com, StradosLabs Inc., Philips and Quartics etc. • Published research in top conferences and journals including MICCAI, IJCARS etc. • Languages: C/C++ (expert), Python (expert), Matlab (good), JAVA (good). Data Science, Machine Learning and Deep Learning • Expertise in all aspects of data science including data extraction, transformation, cleaning summarization and loading and application of machine learning techniques including SVMs, linear and logistic regression, GMMs, LDA, Decision Trees and deep learning techniques. • Developed highly successful software solutions for Telenor, OvexTech and Moftak.com. • Conducted research in the area with publications in MLDM, ICDIM etc. • Excellent development skills in Python. (pandas, numpy, scikit-learn, opencv, tensorflow, keras and pytorch) Systems Development and Project Management • Advanced level C/C++ and JAVA development experience with more than 10 years of experience of developing applications and systems software for a wide variety of application domains. • Multiple years of C++ intrinsics and assembly language based code optimization for various embedded systems and computer architectures. • Expertise in software project management and development ensuring agile processes in design, development, testing and deployment. • Developed highly successful products and solutions for Streaming Networks, Quartics, APSTO, Philips and Resonate Teaching • 7 years of experience of teaching Computer Vision, Image Processing, Data Mining, Software Engineering, Programming and Project Management at the graduate and post-graduate level. • Supervised 10 under-graduate, 6 masters and 3 PhD thesis. • Published 25 peer-reviewed research articles, a book and a book chapter