I am a full-stack Python, C++ AI/ML/ Computer vision / 3d reconstruction developer ✅ Top Rated PLUS Upwork Freelancer ✅ 15000+ hours worked ✅ 120+ Jobs Completed ✅ $300k+ earned Computer Vision and Machine learning - Computer Vision | Machine learning OpenCV,PCL,ROS,Detectron,YOLO, VTK, Intel Realsense, Zed camera, Zivid camera, NLP, Transformers - Computer Vision, Image Processing, OpenCV, OpenGL, MKL, ITK, VTK - Deep Learning, caffe, Tensor flow, Pytorch - YOLO, DETECTRON -Desktop application development using C++/Qt, Python -3d reconstruction, NLP using Matlab,R, Python, OpenCV, OpenGL,CUDA,OpenCL, MKL, ITK, VTK,PCL,ROS,R, Transformers. -Machine and Deep Learning using SVM, KNN, Neural Networks(TensorFlow, Yolo, Detection, Pytorch). -GUI development, sockets. -Stereo Vision and 3d reconstruction. SLAM and SFM algorithms implementation and improvement. -Video/Audio streaming over network using LIBVLC, FFMPEG, GSTREAMER. -Natural language processing using BERT, BART. -Development of technically complex projects and scientific articles. -Generic programming, OOP. -Complex algorithms & data structures.

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.

I’m a PhD-level machine learning engineer with 12+ years of experience building end‑to‑end AI solutions across finance, healthcare, energy, IoT, and retail. I specialize in Python (PyTorch, TensorFlow, Scikit‑Learn, Hugging Face), C++, MATLAB, and SQL. My expertise spans Deep Learning, Natural Language Processing, Large Language Models (LLMs), Algorithm Development, and Academic Research; I excel at formulating novel research problems, implementing scalable solutions, and producing clear technical and research documentation/publication.

With a PhD in Machine Learning and over 16 years of experience in both research and industry, I bring a wealth of knowledge and expertise to my work. I have authored more than 45 publications in high-impact journals, showcasing my deep understanding of various advanced topics. I specialize in a wide range of academic writing services, including research paper writing, proposal writing, thesis development, and creating comprehensive guides and tutorials. My goal is to help clients effectively communicate their research findings and ideas. In addition to academic writing, I have extensive experience in model development, focusing on machine learning, deep learning, natural language processing (NLP), data and knowledge engineering, and information retrieval systems. I also specialize in recommender systems, complex data analytics, information visualisation, and social network analysis, leveraging cutting-edge technologies to solve real-world problems. Let’s collaborate to bring your research and technical projects to life precisely and excellently. # Python #CoreML #C# # R Language #Gephi # Matlab #Java, C++, Eclipse, Protege, #Javascript, LISP, HTML, XML #OWL and RDF #SPSS #SQL, MySQL, Crystal Reports #Frameworks: Tensorflow, Keras, Scikit-learn, Pandas, Matplotlib I am dedicated to my job, keen on details, and work with less supervision. Google Scholar Profile: scholar.google.com/citations?user=qG7P3HMAAAAJ&hl=en

Generative AI Stack -- GPT-4o, GPT-4.1, GPT-4 Turbo, LLMs 🧠, Generative AI, Multimodal AI, Chatbots 💬, RAG, Advanced RAG (Hybrid RAG, Graph RAG), Agents 🤖, Autonomous Agents, LangChain, LangGraph, LlamaIndex, Finetuning, Parameter-Efficient Fine-Tuning (PEFT, LoRA, QLoRA), NLP with 3 years of Industry Experience. I design and deploy production-ready OpenClaw clawbot AI agents with custom skills, multi-channel integrations, and secure self-hosted setups to automate real business workflows end-to-end. ML Stack -- Machine Learning, NLP, Image Processing, Statistical Reports, NLTK, Gensim, SpaCy, FastText, word2vec, MUSE, Whisper, Whisper v3, Transformers, Diffusion Models, Graph Neural Networks, Hugging Face, Hugging Face Hub, Sentence Transformers, AutoML. Computer Vision Stack: OpenCV, TensorFlow, Keras, DeepFace, YOLO, YOLOv8, YOLO-NAS, Vision Transformers (ViT), SAM (Segment Anything Model), Stable Diffusion. Database Stack -- Vector Databases (Pinecone, Weaviate, PgVector, ChromaDB, Milvus, Qdrant, Weaviate, Azure Search, Azure AI Search, Azure DB, Chroma, FAISS ), Semantic Search, Hybrid Search, Embeddings, Multimodal Embeddings. LLM's -- GPT-4o, GPT-4.1, GPT-4 Turbo, GPT3.5/4, Llama 2, Llama 3, Llama 3.1, Mistral, Mixtral, Claude 3, Gemini. Cloud Code RAGs, Agents (Langchain, LangGraph, LlamaIndex, OpenAI Assistants API, Tool Calling, Function Calling) Key Skills: ✔️ GPT Apps development using Python, Langchain, LangGraph, LLM (ChatGPT / GPT 4 / GPT-4o / HuggingFace models), VectorStores (Pinecone, Weaviate, FAISS, Qdrant, ChromaDB, …) ✔️ Automation and integration using ChatGPT API, OpenAI Assistants API, Tool Calling. ✔️ Python solutions using ChatGPT API, Whisper API, GPT 4 model, GPT-4o, and other OpenAI API services. ✔️ Integrating OpenAI's ChatGPT, GPT 4, GPT-4o API to take user prompts. ✔️ Prompt Engineer with great experience in designing various problems for various AI Use cases, System Prompts, Agent Prompts, and Chain-of-Thought optimization. Recent Project stack 📝 Text Simplification with tokenized BART for accessibility 🌐 Knowledge Graph-Based Question Answering with Graph RAG 🗣️ Voice Recognition in German using Flask, BERT, Whisper 🤖 Enhanced Chatbot with question-answering techniques, RAG, and Agent-based workflows 📊 Multimodal AI Apps (Text + Image + Audio) 🔍 Semantic & Hybrid Search Applications Expertise in NLP and AI Development: 🌟 LLM Agents (Web, APIs, Databases, Tools, Browsers) 🤖 GPT Apps development using Python, Langchain, LangGraph, and HuggingFace models 🌐 Automation and integration using ChatGPT API, OpenAI Assistants, Tool Calling 🔧 Troubleshooting and optimization of existing chatbot and RAG solutions ✔️ Expert in LLMs (GPT 4, GPT-4o, OpenAI Assistants, ChatGPT) 🛠️ Creative Python API Integration, AI Pipelines, and AI Product Development clawbot, open claw integration

Build production machine learning systems: forecasting, NLP, computer vision, and tabular models, plus the MLOps to deploy and monitor them, so the model keeps working after it ships. Machine Learning Engineer with 8+ years taking ML projects from raw data to live deployment in Python and AWS. Shipped models across telecom, automotive, energy, renewables, shipping, and e-commerce: demand forecasting, customer scoring and segmentation, anomaly detection, NLP, and decision automation. 🔑𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive modeling, classification, regression, forecasting, time series, clustering, anomaly detection, recommendation systems, feature engineering 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Python, Pandas, NumPy, Scikit-learn, statistical analysis, data wrangling, EDA, A/B testing 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐋𝐏 & 𝐂𝐕: TensorFlow, PyTorch, neural networks, text classification, embeddings, image classification, object detection 𝐌𝐋𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝: AWS (SageMaker, EC2, S3, Lambda), Docker, MLflow, CI/CD, model deployment, monitoring, scalable pipelines 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: FastAPI, Flask, Django, REST APIs, n8n, Zapier, Make, webhooks 𝐀𝐈, 𝐋𝐋𝐌 & 𝐁𝐨𝐭𝐬: GPT-4, Claude, RAG, LangChain, LangGraph, vector databases, prompt engineering, AI agents, chatbot development, conversational AI, Telegram/Discord/Slack bots Tell me your data and the outcome you need. I'll reply with how I'd approach the model and a rough timeline, so you know what working with me looks like before you commit.

My Proficient Skills are the following 🚀: • AI Automation 🤖 • AI Agents 🧠 • Agentic AI 🕸️ • Data Analysis 📈 • Machine Learning 🤖 • Python Programming 🐍 • Exploratory Data Analysis (EDA) 🔍 • Data Visualization 📊 • Power Bi Dashboards 📊 • Data Cleaning 🧹 • R Programming 💻 • Statistics 📊 • Data Science 📊 • Data Report Creation 📄 • Data Manipulation 🔄 • SQL 🗃️

I'm an expert in algorithms design, mathematical optimization and machine learning (deep learning, NLP and reinforcement learning). I help my clients to be Industry 4.0 ready. This means that I not only provide predictive analysis but prescriptive solutions to my clients. What does this mean? Predictive analysis allows you to forecast the future, prescriptive analysis not only allows you to forecast the future but to pro-actively act to change this future for the better. I'm specialized in providing solutions that combine the strengths of machine learning and mathematical optimization.

I build AI systems that work in production - not just in demos. With 10+ years in AI/ML and enterprise software, 3000+ hours on Upwork, 700+ solutions delivered, and 400+ clients across the globe, I've earned a simple reputation: if you need intelligent automation, a custom LLM application, or a scalable ML pipeline, I'll build it, ship it, and make sure it holds up. I work across the full AI stack: from raw data ingestion and model training to fine-tuning LLMs, deploying RAG architectures, and integrating everything into production-grade systems. Whether the project lives on AWS (Bedrock, SageMaker, Textract, Comprehend), Google Cloud (Vertex AI), or runs locally (Ollama, LLaMA, DeepSeek), I build for the environment that fits your business, not the one that's easiest for me. ➛ 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗠𝗟𝗢𝗽𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟 End-to-end ML pipelines with MLflow, SageMaker, and Azure ML. Model training, fine-tuning, versioning, and monitoring. TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost. Deep learning, neural networks, and Diffusion Models. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗟𝗠 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 Custom GPTs, AI agents, and RAG pipelines using OpenAI, Claude, LLaMA, Mistral, and DeepSeek. LLM fine-tuning with LoRA/QLoRA. Prompt engineering (zero-shot, few-shot, chain-of-thought). Multi-agent systems with LangChain and LangGraph. Deployed on AWS Bedrock, Vertex AI, or self-hosted via Ollama/Supabase. 𝗗𝗮𝘁𝗮 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Data mining, web scraping, and pipeline engineering with Pandas, NumPy, and Python. Business intelligence and analytics with Amazon QuickSight. NLP with Amazon Comprehend, BERT, SpaCy, Transformers - text classification, sentiment analysis, entity recognition, content generation. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 OCR and document processing with Amazon Textract, Azure Computer Vision, OpenCV, and Tesseract. Image recognition, face detection, and vision-based automation. Stable Diffusion and generative image workflows. 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 AI assistants and knowledge-base chatbots. Context-aware conversation systems integrated via API. GoHighLevel automation and CRM-connected AI workflows. Amazon Translate for multilingual deployments. 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗼𝗺𝗲 𝗯𝗮𝗰𝗸 Most AI projects fail at the handoff from prototype to production. I've spent a decade closing that gap, writing systems that are maintainable, monitored, and built to scale beyond the first deployment. - Production-first architecture from day one - Strong documentation and clean, handoff-ready code - Experience across AWS, Azure, GCP, and open-source stacks - Clear communication throughout, no black boxes - On-time delivery with post-launch accountability 𝗘𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀: - 1 month post-delivery support - 1 month warranty on all deliverables - Dedicated technical consultation If you're building an AI product, automating a complex workflow, or turning your data into something that actually makes decisions, let's talk. I'll tell you in the first conversation whether it's feasible, how long it takes, and what it'll cost.

Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.