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🚀 Welcome to My Profile! Passionate about transforming ideas into seamless digital experiences, I am a Python Expert and Full Stack Web Developer with a flair for innovation. My unique blend of technical prowess and creativity allows me to craft solutions that not only meet but exceed expectations. With a commitment to excellence and a genuine enthusiasm for Machine Learning, I bring a dynamic skill set to every project. Let's collaborate to elevate your digital presence with efficiency, precision, and a touch of cutting-edge technology. 🌐🐍✨

I design and build production-grade AI systems that help startups and businesses automate workflows, deploy intelligent applications, and scale with confidence. From LLMs and AI agents to RAG, computer vision, and edge AI, I transform AI concepts into reliable, production-ready solutions. As a PhD Candidate in Artificial Intelligence and hands-on AI Engineer, I combine advanced AI research with practical engineering to deliver systems that perform beyond the prototype stage. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 WHAT I BUILD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ AI Agents & Agentic Workflows ▸ Retrieval-Augmented Generation (RAG) Systems ▸ AI Assistants & Intelligent Chatbots ▸ LLM Fine-Tuning & Custom AI Models ▸ Multimodal AI Applications ▸ Computer Vision Systems ▸ OCR & Document Intelligence Solutions ▸ Edge AI & Embedded Intelligence ▸ Custom Machine Learning Solutions ▸ AI-Powered Automation Workflows ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ WHAT I SPECIALIZE IN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → End-to-End AI Development Research, experimentation, prototyping, deployment, and continuous improvement. → Production AI & MLOps Model deployment, API development, Docker, CI/CD pipelines, monitoring, and scalable infrastructure. → AI Optimization & Efficiency Model compression, quantization, pruning, latency reduction, and efficient inference for resource-constrained environments. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 FEATURED PROJECT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NemaNet — Embedded AI for Plant-Parasitic Nematode Detection Founder and lead AI engineer behind an AI-powered agricultural computer vision system optimized for embedded devices. Designed, trained, optimized, and deployed deep learning models for accurate, real-time detection on resource-constrained hardware, transforming research into a practical field-ready solution. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛠 TECHNOLOGIES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Programming: Python • SQL AI & Deep Learning: PyTorch • TensorFlow • Hugging Face • Transformers • OpenCV • Scikit-learn LLMs & Agentic AI: LangChain • LangGraph • LlamaIndex • OpenAI • Ollama • vLLM Backend & Deployment: FastAPI • Docker • Kubernetes • REST APIs • Git • CI/CD Vector Databases: FAISS • Pinecone • Qdrant • ChromaDB Cloud Platforms: AWS • Azure • GCP ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 WHY CLIENTS WORK WITH ME ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✓ Research-backed AI expertise combined with production engineering experience. ✓ Ability to take projects from initial idea and experimentation to deployment. ✓ Experience building LLM, RAG, Agentic AI, Computer Vision, and MLOps solutions. ✓ Focus on reliable, scalable, and cost-efficient AI systems. ✓ Clear communication and engineering practices designed for long-term success. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ If you need an AI engineer who can bridge advanced AI research with production-ready engineering, I would be happy to discuss your project and help turn your ideas into scalable AI solutions.

I am a Senior Machine Learning Engineer with 7+ years of experience in research, model development, and cloud deployment. My work includes academic research and real-world AI systems, from designing deep learning models to deploying scalable ML pipelines on GCP, AWS, and Azure. Expertise • Research: Deep learning, computer vision, NLP, and generative AI • Development: Training and fine-tuning ML models using TensorFlow and PyTorch • Deployment: Building and scaling ML systems on GCP, AWS, and Azure with Docker, Kubernetes, and Terraform Certifications Google Cloud (2024) • Professional Machine Learning Engineer • Professional Data Engineer • Professional Cloud Architect Microsoft Azure (2021) • Azure Data Scientist Associate • Azure Fundamentals HashiCorp (2025) • Terraform Associate (003) Selected Projects • AI-Driven Document Extraction: Designed and deployed OCR pipelines using Gemini, Google Document AI, and DeepSeek (Vertex AI) to extract structured data from real estate conveyancing documents. • Reputation System API for Mindplex: Developed and deployed a reputation scoring API based on research in reputation systems, powering user trust and ranking on magazine.mindplex.ai. • Big Data Health Pipeline (GCP): Architected and orchestrated data ingestion and transformation pipelines using Dataflow, BigQuery, Cloud Run, and DBT. Integrated data from Microsoft SQL Server, CSV, Excel, and Azure Blob Storage into BigQuery. • Deep Learning Research and Deployment: Implemented and productionized deep learning models from research papers for diagnostic imaging and AI-assisted medical interpretation. Publications and Patents • Detection of Mitral and Tricuspid Regurgitation from B-mode DICOMs Using Artificial Intelligence (2024) • Reproduction of Full Echocardiographic Report Using Machine Learning from Large-scale Echocardiogram Database (2023) • Methods, Systems, Apparatuses, and Devices for Facilitating a Diagnosis of Pathologies Using a Machine Learning Model (2024), Patent • AI-Based Diagnosis of Aortic Stenosis in B-Mode Imagery: P3-16 (2024) I specialize in designing, building, and deploying production-grade AI systems with a strong foundation in both research and engineering. If you are looking for someone who can take an AI project from concept to deployment, I would be glad to collaborate.

🎯 Data Scientist | AI Specialist | Business & Data Analyst | NLP & Computer Vision Expert I help businesses and researchers unlock the power of data-driven decisions through advanced analytics, machine learning, and AI solutions. With a Master's in Data Science & AI from IIT Madras and hands-on experience across healthcare, business intelligence, and deep learning, I build accurate, scalable, and impactful models. 🔹 What I offer: * Predictive modeling & ML pipelines (Sklearn, XGBoost, TensorFlow, PyTorch) * AI for healthcare (CT/MRI/X-ray analysis, diagnosis support using CNNs/Transformers) * NLP tasks using BERT, spaCy, NLTK (chatbots, sentiment analysis, text classification) * Business analytics & dashboards (SQL, Excel, Power BI, Tableau) * Web scraping & data engineering (Python, Pandas, ETL automation) 🔹 Why work with me? * Proven research in medical AI (kidney stone & COVID-19 detection) * Results-driven and detail-oriented approach * Clear communication and timely delivery Let’s bring your data to life, -- message me to get started

I build production-grade AI apps, LLM systems and web scraping solutions with Python. I'm focused on building systems that are accurate, scalable and easy to maintain, not just demos. I architect Retrieval-Augmented Generation (RAG) pipelines with Qdrant, function calling, metadata-aware retrieval, re-ranking, and multi-step agent workflows. I construct knowledge bases from structured and unstructured data, optimize chunking and embeddings, and enhance retrieval quality to minimize hallucinations. I work with models such as: Claude, Kimi K3, Gemma 3, Qwen, Llama and Mistral. For deployment, I use vLLM for low-latency, high-throughput inference with streaming responses, batching, KV-cache optimization, and efficient GPU utilization. #webscraping #ai #llm #claude #kimik3

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.