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Passionate ML and Data Science professional dedicated to transforming raw data into clear, actionable insights. With a strong foundation in statistical analysis, algorithm development and advanced machine learning techniques, I help businesses unlock the full potential of their data. Expertise & Skills: ✨ Python Development ✨ Data Science & Storytelling ✨ Machine Learning / Deep Learning ✨ LLMs & NLP ✨ Computer Vision ✨Time Series Analysis ✨ Flask | FastAPI ✨ TensorFlow | Pytorch Data Science & AI Projects: ✅ Face Recognition System - Developed face recognition system capable of identifying faces from both images and real-time video streams. ✅ Fraud Detection in Banking & E-Commerce – Built AI-driven fraud detection models to identify suspicious transactions and prevent financial loss. ✅ LLM-Powered Chatbot & RAG System – Designed an AI-driven chatbot using LangChain, and vector databases for intelligent document search. Why Work With Me? 🔹 Data Storytelling & Actionable Insights 🔹 End-to-End AI & ML Solutions 🔹 Scalable & Optimized Code 🔹 Strong Communication & Collaboration 💡 I am curious and always eager to learn. Whether it's new AI techniques, emerging technologies, or innovative problem-solving approaches, I continuously seek knowledge to deliver the best solutions.

Hey there! I specialize in Machine Learning, Deep Learning and Artificial Intelligence related works. Skills: ✅ Highly skilled in Python ✅ Proficient in web scraping using different Python libraries like Scrapy, BeautifulSoup etc. ✅ Skilled in working with image-related tasks in Python using OpenCV, Imutils etc. ✅ Highly skilled in using Jupyter Notebook and code flow reporting. ✅ Excellent problem-solving skills and adept at making the best use of the internet. ✅ Skilled in Data Science, Data Visualization, and Machine learning. ✅ Proficient in different Python libraries like Pandas, Numpy, Matplotlib, and Seaborn. ✅ Experienced in Deep Learning platforms like Keras, Tensorflow, and Pytorch. ✅ Knowledgeable in electronics and electrical systems. ✅ Proficient in pair programming and CI/CD. ✅ Skilled in Git and GitHub. ✅ Comfortable working on Linux (Ubuntu) and Windows Operating Systems. Data Exploration and visualization ✅ Streamlit ✅ Power BI and Tableau Dashboard Tools: ✅ VSCode, Jupyter Notebook, GitHub, Trello, Microsoft To-Do, Teams, Meet, Zoom, and Slack.

I build ML systems that work in production, not just in notebooks. What I've shipped recently: - Fine-tuned LLM for a hospital. Doctors now query about patients based on their records in less than 30 seconds. - Led a team of 6 building a computer vision system that processes 500K+ chess positions at 97% accuracy. - Built a RAG-powered document intelligence API that handles 200+ documents per hour. - Published a peer-reviewed paper in Elsevier on physics-informed ML. I work best with clients who need: - LLM fine-tuning and RAG systems (LoRA, QLoRA, Hugging Face) - Computer vision for quality control, detection, and classification - Production APIs around ML models (FastAPI, Docker) - Edge AI optimized for low-cost hardware I communicate clearly, show progress daily, and deliver on deadline. 5+ years of remote work experience. Not a good fit if you need generic ChatGPT wrappers. I build real engineering.

Hello, I'm Clinton 👋 - 5+ years building Deep Learning, Computer Vision, LLM, and Generative AI solutions. - 3+ years developing AI Automation, RAG, and AI Agent systems. - Built real-time NVIDIA DeepStream object detection systems, reducing manual inspection time by 85%. - Developed OCR and document understanding pipelines for scanned documents, engineering drawings, and forms. - Built production-ready LLM/VLM applications, including multimodal assistants, RAG systems, and AI inference APIs. Core Stack: Python, PyTorch, TensorFlow, OpenCV, FastAPI, Docker, CUDA, AWS, SQL, DeepStream, JavaScript/TypeScript, React, Next.js, Node.js, Power BI. Let's turn your AI idea into a production-ready product.

💡 Hey there, Machine Learning Engineer with over 4 years of hands-on experience building intelligent systems, scalable backend architectures, and production-ready ML/NLP solutions. My work spans deep learning, LLM integration, data pipelines, and end-to-end application development across highly specialized domains. Why Work With Me? Expert in Computer Vision & AI Engineering – OpenCV, YOLO, Tesseract, CRAFT Strong Data Science Background – Statistical analysis, hypothesis testing, data modeling Proficient in Machine Learning & Deep Learning – TensorFlow, PyTorch, Hugging Face Cloud & DevOps Skills – AWS EC2, AWS S3, Docker-based Experienced in NLP – BERT, spaCy, NLTK, embedding extraction 🔧 Technical Expertise: ✅ Programming Languages: Python, JavaScript ✅ Data Processing: NumPy, Pandas, SciPy, Scikit-learn ✅ Data Visualization: Seaborn, Matplotlib, Plotly ✅ Machine Learning & AI: TensorFlow, PyTorch, Transformers, Keras ✅ Computer Vision: OpenCV, YOLO, Tesseract, CRAFT, Pillow ✅ Backend: Node.js, Express, REST API ✅ Database: MongoDB, MySQL, PostgreSQL 🔷 Let’s collaborate to turn your ideas into reality! 🤝 If you're building an AI product that needs retrieval, recommendations, or an LLM integration that won't hallucinate its way into a support ticket, that's what I do.

Greetings! I specialize in AI & Machine Learning, Data Science, and MLOps, crafting scalable solutions that turn data into powerful insights and real-world impact. Skills: 🎯 Highly skilled in Python, with extensive experience in machine learning, deep learning, and AI. 🎯 Proficient in data extraction using Scrapy and BeautifulSoup. 🎯 Experienced in working with NLP tasks using spaCy, NLTK, and Hugging Face. 🎯 Skilled in Generative AI and using models like Transformers, DALL-E, CLIP, Stable Diffusion, and Vision Transformers (ViT). 🎯 Advanced in machine learning algorithms, including XGBoost, LightGBM, Scikit-Learn, and TensorFlow. 🎯 Highly skilled in working with time series data and models like LSTM, Pandas, and XGBoost. 🎯 Proficient in Data Science and Data Visualization, with hands-on experience in Pandas, Numpy, Matplotlib, Seaborn, Plotly, and Dask. 🎯 Experienced in using MLOps tools like MLflow, DVC, TensorBoard, and BentoML for model management and deployment. 🎯 Proficient in SQL & NoSQL databases, including PostgreSQL, MySQL, and MongoDB. 🎯 Skilled in cloud computing and deployment, including AWS, Docker, Kubernetes, and SageMaker. 🎯 Skilled in CI/CD practices, version control using Git and GitHub. 🎯 Comfortable working on both Linux (Ubuntu) and Windows Operating Systems. Data Exploration & Visualization: 🎯 Streamlit for creating dynamic data applications. 🎯 Power BI and Tableau for building interactive and professional dashboards. Tools: 🎯 VSCode, Jupyter Notebook, GitHub, Trello, Microsoft To-Do, Teams, Zoom, and Slack for efficient collaboration and project management.