Freelancer - Verified Skills from Upwork Test System I am Muhammad Usman Ghani Khan, a seasoned Data Scientist and AI expert with over 20 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 experience in machine learning, deep learning, image processing, computer vision, natural language processing, bioinformatics, medical imaging and computational linguistics. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: I earned my PhD in Computer Science (Machine Learning/Artificial Intelligence) from The University of Sheffield, UK. With over 20 years of experience in AI, ML, and data science, I have published more than 200 impact factor publications across various AI domains, including natural language processing, computer vision, and medical applications. • 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: I am an expert in modern computer vision techniques. I have led numerous R&D projects in image processing, computer vision, and video analysis. My work includes developing machine learning models for object detection, segmentation, and image classification using 2D and 3D images. • Generative AI: I am a well versed trainer and developer working in the new paradigm of GenAI. Following are some of my expertise in the area of GenAi. Natural Language Processing including (i) text processing (ii) feature extraction (iii) word embedding and (iv) RNNs/LSTMs/GRUs Running LLM'S off the Shelf: LLM APIs, Open-source LLMs, Prompt engineering, Structuring outputs Working with vector databases like Chroma, Pinecone, Milvus etc Retrieval Augmented Generation using LangChain and LlamaIndex Prompt Engineering: Few Shot Prompting, Chain-of-thoughts Prompting Supervised finetuning via LoRA and QLoRA Quantization and Model Distillation Agentic Development: LangGraph and Crew AI etc. Deployment of LLMs: LM Studio, LangServe, AWS EC2 Instance etc. Monitoring of LLMs: LangSmith • 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 (𝗡𝗟𝗣): I have a deep understanding of NLP techniques and large language models like ChatGPT. My experience includes developing custom NLP solutions for text generation, classification, and information extraction. I have successfully applied NLP to various domains, including biomedical text processing and computational linguistics. • 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: With extensive experience in bioinformatics and medical imaging, I develop AI solutions for healthcare, including the analysis of medical images (X-ray, CT, MRI) and biomedical data. My work spans from data preprocessing and feature engineering to model development and deployment. • 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Proficient in TensorFlow and PyTorch, I have hands-on experience in building and training custom neural networks for various applications. My expertise includes using these frameworks for computer vision, NLP, and other machine learning tasks. • 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽: As the Director of National Centre of Artificial Intelligence and founder of multiple research labs, including the Computer Vision & Machine Learning Lab, Bioinformatics Lab, Virtual Reality & Gaming Lab, Data Science Lab, and Software Systems Research Lab, I lead cutting-edge research and innovative projects. • 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗣𝗿𝗼𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Experienced in Python, Java, JSON, Django, Asp.Net, R, MATLAB, and Ubuntu. Skilled in using GitHub for version control and LaTeX for documentation. 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻𝘀: I have created and published freely available video lectures on YouTube for courses in Bioinformatics, Image Processing, Data Mining & Data Science, and Computer Programming. • 𝗠𝘆 𝗩𝗶𝘀𝗶𝗼𝗻: Together we grow! • 𝗠𝘆 𝗠𝗶𝘀𝘀𝗶𝗼𝗻: To be the best for your business or product!

🚀 🥇 Expert-Vetted Talent | Principal AI/ML | GenAI, LLM, RAG, Fine-tuning, Cloud(Azure, AWS, GCP) | Healthcare & FinTech I transform complex business challenges into cutting-edge AI solutions. With 15+ years leading AI/ML initiatives and a Doctor of Philosophy in Machine Learning from Iowa State University, Master's in Computational Neuroscience from UC San Diego, I deliver production-ready GenAI systems that drive measurable ROI. ✅ What I Offer: • GenAI & LLM Solutions: Custom GPT fine-tuning, prompt engineering, multi-agent systems, RAG architectures • Production AI Systems: End-to-end ML pipelines, MLOps, model deployment at enterprise scale • Healthcare AI: Clinical trial automation, medical document generation, HIPAA-compliant solutions • AI Strategy & Architecture: Technical roadmapping, proof-of-concepts, AI transformation leadership • Full-Stack AI Development: Python, PyTorch, TensorFlow, AWS, GCP, Azure, Vector DBs, Kubernetes 🎯 Recent Achievements: • Built AI system processing 100K+ clinical trials for pharma enterprise, enabling intelligent Q&A and benchmarking • Developed GenAI platform generating 100+ page clinical trial protocols with 95% accuracy • Led 60+ engineer team delivering first commercial AI healthcare product at ResMed (NYSE: RMD) • Created $1M+ revenue AI products in first year at multiple startups • Secured $3.5M+ funding through strategic AI product development 💼 Industry Expertise: • Healthcare/Pharma: Clinical trials, EHR integration, medical AI, FDA-regulated software • FinTech: Real-time fraud detection, risk assessment, payment processing systems • Enterprise SaaS: Multi-tenant architectures, API development, scalable AI services • Retail/E-commerce: Recommendation engines, inventory optimization, customer analytics 🔧 Technical Stack: AI/ML: GPT-4/5, Claude, Llama, BERT, Transformers, Fine-tuning, RLHF, RAG, Vector Databases Languages: Python, JavaScript, TypeScript, Java, Ruby, Go, SQL Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, Scikit-learn, FastAPI Cloud/DevOps: AWS (SageMaker, Lambda, ECS), GCP (Vertex AI), Azure, Kubernetes, Docker Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Pinecone, Weaviate, ChromaDB Tools: MLflow, Weights & Biases, Git, CI/CD, Jupyter, Streamlit 📊 Quantifiable Impact: • 73% engagement increase for nonprofit youth chatbot with emotional intelligence • 94% accuracy in crisis detection for at-risk populations • 10X growth in subscriber base through AI-driven optimizations • 100+ pages of medical documents generated with regulatory compliance • $100K+/month revenue generated through ML-powered ad targeting 🎓 Credentials: • M.Sci. Computational Neuroscience - UC San Diego • IBM Certified: RAG and Agentic AI • Deep Learning Specialization - Coursera • Published researcher in AI/ML (Psychological Science, ICSE) • 4 provisional patents in AI/computer vision 🌟 What Sets Me Apart: Unlike typical developers, I combine deep technical expertise with business acumen from leading multiple successful startups. I don't just build models – I architect complete AI ecosystems that scale, comply with regulations, and deliver measurable business value. My neuroscience background provides unique insights into building truly intelligent systems that understand human behavior and needs. 📋 Services I Provide: • Custom LLM fine-tuning and deployment • RAG system architecture and implementation • Multi-agent AI system development • Healthcare AI and medical document automation • AI-powered data extraction and processing • Computer vision and image analysis solutions • Production ML pipeline development • AI strategy consulting and roadmapping • Technical due diligence for AI projects • Team mentoring and AI capability building 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face

I have 4 years of experience in Machine Learning and Artificial Intelligence, specializing in object detection using YOLO algorithms, semantic segmentation, and human pose detection projects. I have also worked on image classification, data generation, Data Annotation, training and testing neural networks. Additionally, I am proficient in Python, where I have designed and implemented various applications related to AI and Machine Learning. Furthermore, I am skilled in MATLAB programming, with expertise in filter design, control system design, PV systems, and Simulink modeling and simulation. I utilize LaTeX extensively for writing reports, including title pages, documents, equations, tables, diagrams, flow charts, and hierarchy diagrams.

I'm Sudais — a Python, AI, data analysis, and full-stack development specialist with over 3 years of hands-on experience in software automation, web development, and hardware design. I’ve completed 150+ Python projects, including 2D games and simulations, and over 15 advanced projects in MIPS Assembly. My background spans both high-level software and low-level system programming, enabling me to build efficient, scalable solutions — from smart automation scripts and AI models to interactive web applications and embedded systems. I deliver clean, performance-optimized code tailored to your specific needs. Core Technical Skills Python (Intermediate–Advanced): Proficient in writing clean, modular, and scalable code for automation, data analysis, GUIs, and game development. MIPS Assembly (Advanced): Expert in low-level programming and performance optimization. Built simulations, algorithms, and system-level solutions. Software Automation (Advanced): Developed tools for automating workflows, web scraping, data extraction, testing pipelines, and task bots using Python and shell scripts. Git & GitHub (Advanced): Experienced in version control, branching strategies, pull requests, and collaborative workflows. Algorithms & Data Structures (Advanced): Strong foundation with hands-on implementation of trees, graphs, heaps, dynamic programming, and custom data structures. Hardware Design (Advanced): Practical experience in digital logic, memory hierarchies, CPU design, and computer architecture fundamentals. Pandas (Advanced): Skilled in data cleaning, transformation, time series handling, and statistical modeling. MATLAB (Advanced): Used extensively for simulations, signal processing, control systems, and numerical computation. Artificial Intelligence & Machine Learning (Advanced): Built neural networks, classifiers, and predictive models using TensorFlow, Keras, and scikit-learn. Frontend Development (Advanced): Developed modern, responsive websites using HTML5, CSS3, JavaScript, and Bootstrap 5. Focus on accessibility and mobile-first design. JavaScript (Advanced): Developed interactive UIs with DOM manipulation, event-driven logic, and RESTful API integration. Web Development (Advanced): Experience with both static and dynamic web apps using Flask, Django, and REST APIs. Assembly Language (Advanced): In addition to MIPS, knowledgeable in general assembly and low-level system programming techniques. Software Development (Intermediate): Familiar with modular software design, testing workflows, debugging, and development lifecycles. 2D Game Development (Intermediate): Created multiple Pygame-based games with physics, animation, and performance tuning. Computer Assembly (Intermediate): Skilled in building and troubleshooting custom PCs, understanding component compatibility and performance balance.

As a dedicated Computer Vision Engineer with a strong background in artificial intelligence (AI), machine learning, and deep learning, I specialize in developing innovative solutions that enable machines to interpret and understand visual data. My expertise lies in designing and implementing advanced algorithms that extract meaningful insights from images and videos, unlocking new possibilities for businesses across various industries. Key Skills: Computer Vision: Object detection, image segmentation, classification, feature extraction, and pattern recognition. Deep Learning: Proficient in designing and training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs) for image processing tasks. Machine Learning: Skilled in supervised and unsupervised learning techniques, including classification, regression, clustering, and anomaly detection. Image & Video Processing: Expertise in enhancing, filtering, and transforming visual data for applications such as facial recognition, autonomous systems, and augmented reality. Programming Languages & Frameworks: Advanced proficiency in Python, OpenCV, TensorFlow, Keras, PyTorch, Scikit-learn, and MATLAB for building, training, and deploying AI models. Data Preprocessing & Annotation: Experienced in preparing large datasets, including annotation, augmentation, and noise reduction to improve model performance. Integration & Deployment: Adept at deploying models in real-time environments using cloud services (AWS, Azure), edge computing, and embedded systems for optimized performance. Technical Writing & Research: Strong skills in documenting complex technical concepts, writing research papers, and presenting findings clearly to both technical and non-technical audiences. Services I Offer: Object Detection & Recognition: Developing solutions for automated detection and recognition of objects in real-world scenarios. Facial Recognition & Biometrics: Building secure facial recognition systems with applications in security, authentication, and surveillance. Image Classification & Segmentation: Implementing cutting-edge techniques to classify and segment images with high accuracy for medical imaging, agriculture, and other industries. Automated Inspection Systems: Creating machine vision systems for quality control, defect detection, and automation in manufacturing. Autonomous Vehicle Vision Systems: Developing vision-based systems for autonomous vehicles, including pedestrian detection, lane tracking, and obstacle avoidance. Augmented Reality & Computer Vision Integration: Enhancing user experiences through computer vision-based AR applications for retail, gaming, and education. Medical Image Analysis: Applying computer vision techniques to analyze medical images for diagnostics, anomaly detection, and research. Experience & Achievements: I have worked on diverse projects ranging from real-time video analytics for surveillance systems to automating quality control for manufacturing processes. I have also collaborated with interdisciplinary teams on AI-driven medical imaging research, creating tools that assist healthcare professionals in making accurate diagnoses. A few of my accomplishments include: Successfully developed an end-to-end object detection system for real-time video feeds, improving monitoring efficiency by 40%. Created a custom facial recognition system for secure access control, reducing unauthorized entries by 30%. Built and optimized a deep learning model for medical image segmentation, achieving a 95% accuracy rate for detecting abnormalities in radiology scans. Delivered a robust defect detection system for a manufacturing line, increasing production quality and reducing manual inspection time by 50%. Why Work with Me? With a passion for solving complex problems and a strong commitment to delivering high-quality results, I focus on understanding your unique challenges and tailoring my solutions to meet your specific needs. Whether you need a fully integrated AI solution or a small-scale prototype, I ensure that the project is aligned with your goals from start to finish. I pride myself on clear communication, timely delivery, and attention to detail. My goal is to help you leverage the power of computer vision and AI to enhance your operations, improve efficiency, and gain a competitive edge. Let’s Connect! If you are looking for a Computer Vision Engineer who can bring your ideas to life and deliver top-notch solutions, I’d love to collaborate with you! Let’s discuss your project requirements and how I can help you achieve your goals.

Hi, I am an AI specialist with expertise in natural language processing, understanding, and quantum machine learning. I have experience building recommendation systems using techniques like collaborative filtering, content-based filtering, and hybrid approaches. In my work, I primarily leverage PyTorch and Fast.ai libraries. I also utilize TensorFlow, Colab, TensorFlow Lite, and quantum machine learning frameworks like PennyLane, Qiskit by IBM, and Leap IDE by D-Wave Systems. My focus is on large language models, reinforcement learning, and exploring how they can advance music, language, speech, GIS, and signal processing. Though not my specialty, I have completed high production quality computer vision projects in the past. My main programming languages include Python, Golang, Ocaml, MongoDB, Cassandra, Apache Impala, Matlab, and Julia. For cloud services, I utilize AWS, GCP, Azure, and DigitalOcean. With over 9 years of experience in software development, data analytics, data engineering, and now quantum machine learning, I look forward to collaborating with you.