I build production-grade 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐑𝐀𝐆 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐌𝐂𝐏 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬, 𝐯𝐨𝐢𝐜𝐞 𝐀𝐈 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 that connect AI with real business data, tools, APIs, CRMs, and operational workflows. My focus is building AI systems that can 𝐫𝐞𝐚𝐬𝐨𝐧, 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧, 𝐮𝐬𝐞 𝐭𝐨𝐨𝐥𝐬, 𝐦𝐚𝐤𝐞 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐞𝐱𝐞𝐜𝐮𝐭𝐞 𝐦𝐮𝐥𝐭𝐢-𝐬𝐭𝐞𝐩 𝐭𝐚𝐬𝐤𝐬 with controlled workflows, structured outputs, monitoring, and human oversight where required. With a 𝐏𝐡.𝐃. 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐒𝐭𝐮𝐭𝐭𝐠𝐚𝐫𝐭 (𝐆𝐞𝐫𝐦𝐚𝐧𝐲) and a Habilitation from 𝐆𝐞𝐨𝐫𝐠𝐢𝐚 𝐓𝐞𝐜𝐡 (𝐔𝐒𝐀), I bring a rare combination of real-world production engineering experience and deep academic research expertise in 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Build autonomous and multi-agent systems for real business processes: • Stateful agent workflows with conditional routing and memory • Multi-agent orchestration and tool calling • MCP-based integrations with external systems and business tools • Structured outputs, monitoring, logging, and failure handling • Human-in-the-loop controls for critical actions 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: LangGraph, CrewAI, LangChain, AutoGen, OpenAI, Claude, MCP, LangSmith 𝐑𝐀𝐆, 𝐋𝐋𝐌 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Develop enterprise AI systems that work with private and domain-specific knowledge: • Hybrid semantic, keyword, and metadata retrieval • Structure-aware document processing and chunking • Vector and graph-based retrieval • Enterprise knowledge assistants and AI search • Grounded responses and retrieval evaluation 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Pinecone, Weaviate, Qdrant, LlamaIndex, OpenAI, Claude, Mistral, graph-based retrieval 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 Connect AI agents to business workflows, CRMs, APIs, communication systems, and operational processes. • End-to-end AI workflow automation • CRM, email, document, and API integrations • n8n, Make, webhooks, and REST APIs • AI voice agents for sales, support, qualification, scheduling, and operations • Real-time voice interaction, tool calling, CRM actions, and post-call automation 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: n8n, Make, Vapi, Twilio, ElevenLabs, Whisper, LiveKit 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Alongside modern LLM systems, I have strong engineering experience in 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐯𝐢𝐬𝐢𝐨𝐧, 𝐎𝐂𝐑 𝐚𝐧𝐝 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. • Predictive scoring, classification, forecasting, and domain-specific ML • Computer vision and deep learning systems • OCR and document-processing pipelines • Model fine-tuning and adaptation • AI/ML backends and production APIs 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Python, FastAPI, PyTorch, scikit-learn, XGBoost, Hugging Face, OCR frameworks, PostgreSQL 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Build the application and infrastructure required to turn AI capabilities into production products: • AI-powered SaaS platforms and backend systems • React / Next.js interfaces and AI dashboards • REST APIs and scalable backend services • PostgreSQL, Redis, vector databases • AWS, Azure, GCP, Docker, and CI/CD 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 🔹Production-ready AI agent and multi-agent systems 🔹RAG and enterprise knowledge platforms 🔹MCP and LLM integrations 🔹AI voice agents and conversational systems 🔹AI-powered automation workflows 🔹AI/ML, computer vision, and document intelligence solutions 🔹Scalable AI SaaS, APIs, and production backends The goal is to build reliable 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐝𝐚𝐭𝐚, 𝐭𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 𝐚𝐧𝐝 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. 𝐋𝐞𝐭’𝐬 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐬 𝐫𝐞𝐚𝐥 𝐑𝐎𝐈.

Experienced data scientist with over 4 years of experience in machine learning projects. Active participant on Kaggle, a google backed platform for data science competitions, rated within Top 1% data scientists globally. Have experienced in deep neural networks, convolution neural networks, recurrent neural networks, genetic algorithms, natural language processing, support vector machines, and generative adversarial networks. 𝐒 𝐊 𝐈 𝐋 𝐋 𝐒 ------------------------- 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 : - CNN, - DNN, - RNN/LSTM, - GAN, - Transformers, - Auto-Encoders, - HMM-GMM - SVM, - Boosting, - Random forest, 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - C, - C++, - Python, - R, - Matlab, - CUDA(Beginner). 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸/𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - Tensorflow, - Tensorflow lite, - Tensorflow js, - Keras, - Pytorch, - RASA, - Pandas, - Scikit-learn, - Open CV, - Tesseract OCR, - Kaldi, - OpenFace, - SpaCy, - NLTK, - Open Pose, - Others as well based on experience. 𝗧𝗼𝗼𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - Jupyter-notebook - Google Colab - Pycharm - R-Studio 𝗣𝗮𝘀𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗼𝗿𝗸 : - Generating karyotype from Chromosome micro slide image. - Identify boundaries of wound and measurement of wound - Extensive object detection, Detection of Sky, Window, Glass, Tree, building. - automated tool for detecting norms and stereotypes in popular culture. - Deep Learning with Image processing for the transformation of style from one image to another. - Mobile embedded object detection model with TF-lite. - Developed an algorithm to generate a 3D model of faces from a single 2D mobile selfie using Python, Convolutional Neural Networks, PyTorch, and CUDA. - Created an algorithm for image and video compression using similarity between images with the help of OpenCV. - Developed an algorithm for the classification of different sounds of drones using MFCC and LPCC features and then SVM and HMM-GMM classifiers. - Created a default loan predictor algorithm with 99.4% accuracy using Python and deep neural networks. - Created an optical character recognition for English language using Python and OpenCV,. - Extracted the Legos from the videos and the classify it into 52 different classes using the convolutional neural network using Python. - Worked on the CNN based binary text classification for the movie reviews to identify the positive and negative reviews with neural networks and Python. - Developed an algorithm for moving object detection, which can find a moving object in a vibrant environment using deep neural networks, OpenCV, and Python. - Many other projects I have worked on. Few of them are signed with NDA. I shall be glad to provide any information/clarification that you might need to make a better decision. If you like my work. Please Direct Message me OR invite me to your job. I will happy to connect and take your project to success. Thanks for taking the time to read through my profile. Looking forward to talking to you. Thanks

I build AI systems that delete repetitive work. LLM fine-tuning, RAG, AI agents, and chatbots in Python, using OpenAI, Claude, and LangChain. Most clients come to me with one expensive bottleneck. 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗡𝗲𝗲𝗱 A support agent once told me she'd typed the same answer so many times she could do it in her sleep. Nobody had ever asked why a person was doing it at all. Most businesses hiring an AI developer don't need generative AI in the abstract. They need one specific bottleneck to stop being their problem, whether that's an AI chatbot, a document processing pipeline, an AI voice agent, or a workflow automation that quietly removes forty hours a month. AI is the tool. The bottleneck is the target. WHAT I BUILD LLM and Fine-Tuning: Machine learning systems in Python with PyTorch and Hugging Face. LoRA and QLoRA fine-tuning, RLHF, quantization, and domain adaptation. Hosted APIs like OpenAI GPT-4, Anthropic Claude, and Gemini, or open-weight models like Llama 3, Mistral, and Qwen served through vLLM or Ollama when privacy or cost per token favors self-hosting. RAG and Retrieval: Retrieval augmented generation grounded in your documents, using Pinecone, Weaviate, or pgvector with LangChain or LlamaIndex, exposed through FastAPI. The part nobody talks about: a bad embedding model confidently retrieves the wrong document, and the LLM trusts it completely. Embedding selection and chunking is where RAG actually succeeds or fails. AI Agents and Automation: AI agent development and multi-agent orchestration with LangChain and LangGraph, plus n8n, Make, and Zapier for lighter automation, connected to your CRM, Slack, or Google Workspace via MCP and API integrations. Computer Vision: Object detection, image classification, OCR and document data extraction, and visual search using OpenCV, YOLO, and PyTorch. Stable Diffusion for generative image pipelines. AI Integration and Deployment: Monitored, logged, rollback-ready REST APIs deployed with Docker on AWS, Azure, or Google Cloud. Evaluation pipelines tracking hallucination rate, latency, and cost as three separate numbers, plus guardrails wherever a wrong answer is expensive. Also: custom GPT and Claude integrations, NLP and text classification, AI voice agents and speech to text with Whisper, and prompt engineering. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 A model that sounds confident and is wrong does more damage than one that admits it doesn't know. I'd rather ship the one that knows its limits, which is why I ask more questions upfront than most freelancers bother to. A model trained on a misunderstood problem is expensive to unwind later. Send me the bottleneck you've stopped counting, and I'll tell you honestly whether AI is the right tool or whether something simpler would do it.

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases. I'm a Machine Learning Engineer & AI Python Developer with 10+ years of experience building Machine Learning systems, AI solutions, AI Agents, and production infrastructure for SaaS, fintech, manufacturing, healthcare, and enterprise companies across the US and Europe. ✅ I work with a team of 90+ engineers across Machine Learning, AI, DevOps, and Backend disciplines. Delivering end-to-end Machine Learning solutions from data pipelines and model development to deployment, monitoring, optimization, and scaling in production environments. 🎯 What I bring to your product as a Machine Learning Engineer and AI Agent Developer: ✔️ Over 10 years of commercial experience as a Machine Learning Engineer, AI Developer, Python Developer, and Data Scientist, building scalable products for startups and enterprise organizations. ✔️ As a Machine Learning Engineer, I design and build production-grade Machine Learning systems using Python, delivering measurable business outcomes. My solutions have improved operational efficiency by up to 200% and reduced infrastructure costs by as much as 55%. ✔️ As an AI Agent Developer, I build AI Agent systems using LangGraph, CrewAI, OpenAI, Claude, Gemini, Llama, and Mistral. I develop multi-agent architectures for customer support, internal automation, and enterprise workflows. ✔️ My AI Agent experience includes AI sales agent systems, AI business development automation, AI agents for Etsy marketing workflows, and AI agents supporting Pinterest marketing operations. ✔️ As an AI Developer, I deliver AI copilots, Generative AI applications, and LLM-powered platforms using GPT-4, GPT-5, Claude, and open-source models integrated directly into business processes. ✔️ As a Machine Learning Engineer and Data Scientist, I specialize in NLP, semantic search, recommendation systems, anomaly detection, Named Entity Recognition, sentiment analysis, and intelligent automation. ✔️ As a Python Developer, I build Retrieval-Augmented Generation (RAG) systems using Pinecone, Weaviate, Chroma, and enterprise knowledge bases connected to SQL, PostgreSQL, MongoDB, and CRM platforms. ✔️ As a Machine Learning Engineer specializing in Computer Vision, I develop object detection, segmentation, OCR, and Document AI systems using YOLOv8, Detectron2, OpenCV, Amazon Textract, and Google Document AI. ✔️ As an AWS DevOps Engineer and Cloud Engineer, I design highly available infrastructure using AWS, Kubernetes, Docker, Terraform, Jenkins, Kafka, Prometheus, Grafana, and NGINX. ✔️ As an Azure DevOps Engineer, I deploy Machine Learning workloads using Azure DevOps, Azure Data Factory, Terraform, and cloud-native deployment strategies for enterprise environments. ✔️ I regularly collaborate with Data Scientists, Data Analysts, Web Developers, Product Managers, and engineering teams to transform prototypes into scalable production systems used by thousands of end users. 📊 My Achievements in Numbers: 🔶 Machine Learning Engineer for Enterprise Support Platform ▪️ Reduced support workload equivalent to 3 full-time employees. ▪️ Decreased response times from hours to seconds. ▪️ Improved customer satisfaction metrics by more than 40%. ▪️ Processed millions of support interactions annually. 🔶 AI Agent Developer for Fintech Company ▪️ Built and deployed multiple AI Agent workflows in production. ▪️ Automated more than 80% of repetitive operational tasks. ▪️ Reduced manual processing time by 70%. ▪️ Increased team productivity across multiple departments. 🔶 Machine Learning Engineer for Manufacturing Company ▪️ Reduced defect escape rates to near zero using Computer Vision. ▪️ Eliminated thousands of hours of manual inspection work annually. ▪️ Improved quality control efficiency by more than 150%. 🔶 AWS DevOps Engineer for SaaS Platform ▪️ Increased deployment frequency from 1 deployment per month to 120. ▪️ Reduced deployment times by 85%. ▪️ Lowered infrastructure costs by 55%. ▪️ Improved platform reliability and scalability across cloud environments. Why should you hire me as your Machine Learning Engineer? ▪️ 10+ years of experience in Machine Learning, AI Development, Python, and Data Science. ▪️ 50+ Machine Learning and AI projects successfully delivered. ▪️ 90+ engineers available for large-scale engagements. ▪️ Experience across SaaS, fintech, healthcare, manufacturing, and enterprise industries. ▪️ Expertise in Machine Learning, AI Agents, Computer Vision, NLP, RAG, and Generative AI. ▪️ Strong background in AWS, Azure DevOps, Kubernetes, and Terraform. ▪️ Hands-on experience taking Machine Learning and AI products from concept to production. If you're looking for a Machine Learning Engineer, AI Agent Developer, AI Developer, Python Developer, or Data Scientist who can design, build, deploy, and scale production-ready AI systems.

→ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 → 𝐏𝐡𝐃 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 → 𝟏𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐏𝐫𝐨𝐯𝐞𝐧 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐀𝐈, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 → 𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐭𝐨 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 → 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐢𝐧 𝐂𝐕𝐏𝐑, 𝐌𝐈𝐂𝐂𝐀𝐈, 𝐖𝐀𝐂𝐕, 𝐓𝐏𝐀𝐌𝐈, 𝐈𝐉𝐂𝐕 & 𝐈𝐂𝐑𝐀 I am a Senior AI/ML and US-trained Computer Vision Engineer with over 15 years of hands-on experience building, training, and deploying production-ready AI solutions. I specialize in Computer Vision, Deep Learning, Machine Learning, Medical Imaging, Healthcare AI, and Image Processing, delivering scalable and real-time AI systems using Python, modern deep learning frameworks, and optimized deployment pipelines for real-world applications. I hold a PhD in Computer Vision and have worked across industry and research on AI projects involving object detection, image segmentation, video analytics, OCR, medical imaging, surveillance systems, healthcare diagnostics, and intelligent automation. My focus is on end-to-end AI development, from data preprocessing and model training to deployment, API integration, and production-ready, scalable AI systems. I have also published numerous peer-reviewed research articles in leading computer vision and AI venues including 𝗖𝗩𝗣𝗥, 𝗠𝗜𝗔, 𝗠𝗜𝗖𝗖𝗔𝗜, 𝗪𝗔𝗖𝗩, 𝗜𝗘𝗘𝗘 𝗧𝗣𝗔𝗠𝗜, 𝗜𝗝𝗖𝗩, and 𝗜𝗖𝗥𝗔, ensuring that the solutions I deliver are research-validated and industry-ready. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • Computer Vision, Machine Learning & Deep Learning • YOLO-based Object Detection & Tracking • Real-time Video Analytics & Inference Systems • Medical Imaging AI (CT, MRI, X-ray, Ultrasound) • Healthcare AI & Radiology Diagnostics • OCR, Document AI & Intelligent Data Extraction • AI Automation & Workflow Systems • Drone Analytics, Surveillance & Action Recognition • Image Segmentation, Classification & Feature Extraction • Edge AI & Optimized Model Deployment • Scalable AI Systems & Production ML Pipelines • AI Agents & Intelligent Systems 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗮𝗻𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: • YOLO (YOLOv5 – YOLOv10) • Mask R-CNN, U-Net, DeepLabV3, EfficientNet • Custom CNN, GAN, Multi-Modal and Transformer-based vision models • Classical and deep image processing for Computer Vision and Medical Imaging pipelines 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹𝘀: 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Python, MATLAB, C++ 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: PyTorch, TensorFlow, Keras 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 / 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: OpenCV, SimpleITK, ITK, Image Processing Pipelines 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-learn, Pandas, NumPy 𝗢𝗖𝗥: Tesseract, PaddleOCR, EasyOCR 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Flask, FastAPI, Docker, REST APIs, Model Serving 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Inference Optimization, Model Testing, Scalable AI Pipelines 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 • Principal Machine Learning Engineer in multi-vehicle tracking & real-time Computer Vision systems • Senior Computer Vision Scientist in surveillance, traffic monitoring, healthcare AI & medical imaging solutions • Contributor to projects funded by IARPA, Facebook, Google, HEC, NIJ, Xerox (USA) & US DTS My work in medical imaging AI has been recognized through Google and Facebook Research Awards, while contributions to sports video analytics, CCTV analytics, and healthcare AI have been acknowledged by HEC and top-tier venues such as CVPR. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 • Strong academia & industry expertise in AI, ML, Computer Vision & Healthcare AI • Experience in medical image processing, blood cancer detection & tumor segmentation • Clean, efficient, and production-ready code • Proven deployment experience in real-world and healthcare systems • Clear communication, dependable delivery, and scalable AI solutions 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗙𝗼𝗿 𝗬𝗼𝘂 • Design custom ML models aligned with business and clinical goals • Deliver accurate, scalable, and reliable AI solutions • Simplify Computer Vision, Medical Imaging, and healthcare workflows • Support deployment and production integration 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗼𝗿 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 to build, optimize, and deploy custom AI solutions, I’m available to discuss your requirements and deliver reliable results.

Computer Vision Engineer | Generative AI | OCR | Machine Learning Engineer | Claude Expert If you need a Senior AI Engineer specializing in Computer Vision, Object Detection, RAG pipelines, and AI Agent development who ships working production systems — not demos — you are in the right place. With an MS in AI from NUST and 7+ years of hands-on experience as an AI Engineer and Machine Learning specialist, I design, train, and deploy end-to-end systems across YOLO-based detection, Retrieval-Augmented Generation, and autonomous agentic workflows — built to run in the real world, not just in notebooks. What I build: Computer Vision & Object Detection As a specialized Computer Vision Engineer, I build real-time detection and tracking pipelines using YOLOv8, YOLOv11, RF-DETR, and RT-DETR. My Computer Vision OpenCV expertise covers multi-object tracking with ByteTrack and DeepSORT for persistent IDs, trajectory analysis, counting, and direction detection — delivered for fixed cameras, RTSP streams, and edge hardware. Deep Learning & Computer Vision — Edge AI My Deep Learning Computer Vision work includes TensorRT-optimized inference pipelines for NVIDIA Jetson and edge devices. ONNX export, model quantization, and performance benchmarking for real-time operation under hardware constraints. Dockerized, reproducible pipelines ready for production. Artificial Intelligence & Generative AI — LLMs & RAG As an Artificial Intelligence Engineer and AI Developer, I build Agentic RAG pipelines using LangChain, LangGraph, and OpenAI/Anthropic APIs with vector databases (FAISS, Pinecone, Chroma, Qdrant). Multi-agent workflows using LangGraph and OpenAI Agents SDK. AWS Bedrock QA agents integrated with S3 and Athena for enterprise deployments. AI Chatbot & NLP Development My AI Chatbot and NLP Machine Learning work covers intelligent conversational systems, document assistants, and knowledge retrieval platforms. I build chatbots using LangChain, RAG architectures, and fine-tuned LLMs — handling customer support, document Q&A, and task automation with high accuracy and contextual understanding. OCR & Document Intelligence Production OCR pipelines using OpenCV, Tesseract, and keras-ocr for license plate recognition, document processing, and text extraction under real-world conditions. Specialized in Computer Vision Machine Learning approaches that combine classical image processing with deep learning for robust, production-grade OCR. AI Agents & Automation As an Artificial Intelligence Developer, I build multi-step AI agent systems that plan, retrieve, act, and loop autonomously. Built with LangGraph, CrewAI patterns, and OpenAI Agents SDK — deployed via FastAPI backends with clean JSON outputs. Machine Learning Python — Data & Model Pipeline End-to-end Machine Learning Python pipelines covering data preparation, model training, evaluation, and deployment. From fine-tuning open-source LLMs (LoRA/QLoRA) to training custom YOLO models on RunPod GPUs — reproducible, version-controlled, and built for production handover. Recent delivered work: License Plate OCR System — production pipeline with OpenCV and TensorFlow, 5-star client review On-Device Face Recognition — privacy-first smart photo organization system, 5-star client review Llama 3.1 AI Implementation — production LLM deployment, 5-star client review My stack: Python · PyTorch · TensorFlow · YOLOv8/v11 · RF-DETR · ByteTrack · DeepSORT · OpenCV · TensorRT · ONNX · LangChain · LangGraph · OpenAI API · Anthropic API · AWS Bedrock · FAISS · Pinecone · FastAPI · Docker · NVIDIA Jetson · RunPod 100% Job Success · 5.0 Rating · MSCS AI, NUST Let's build something that works. Share your project and I'll have a plan ready within 24 hours.

𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 helping founders and product teams turn ideas into production-ready AI SaaS, web, and mobile products. 𝟳+ 𝘆𝗲𝗮𝗿𝘀 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 | 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸. 𝗪𝗛𝗔𝗧 𝗜 𝗛𝗔𝗩𝗘 𝗗𝗘𝗟𝗜𝗩𝗘𝗥𝗘𝗗 (measurable results): • AI SaaS platform with a built-in LLM copilot that boosted user retention by 𝟰𝟬% • RAG knowledge assistant that cut customer support response time by 𝟳𝟬% • Multilingual Voice AI agent that automated 𝟴𝟬% of inbound appointment booking calls • n8n automation workflows that saved a client 𝟮𝟬+ 𝗵𝗼𝘂𝗿𝘀 of manual work per week • Fraud detection system that reduced client losses by 𝟲𝟮% 𝗶𝗻 𝟵𝟬 𝗱𝗮𝘆𝘀 • Demand forecasting model that cut e-commerce inventory costs by 𝟯𝟬% • IoT anomaly detection that prevented $𝟮𝗠+ 𝗶𝗻 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲 • Real-time surveillance AI at 𝟵𝟵.𝟱% 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 for a Fortune 500 client • Medical imaging AI with 𝟵𝟱%+ 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗶𝘁𝘆 for skin cancer detection • 𝟱𝟬+ 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝘀𝗵𝗶𝗽𝗽𝗲𝗱 across fintech, healthcare, e-commerce, and enterprise • 𝗭𝗲𝗿𝗼 𝗿𝗲𝗳𝘂𝗻𝗱𝘀, 𝘇𝗲𝗿𝗼 𝗳𝗮𝗶𝗹𝗲𝗱 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗲𝘀 𝗠𝗬 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 (what you can hire me for): 1. 𝗔𝗜 𝗦𝗮𝗮𝗦 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Full AI-powered SaaS platforms with LLM features built in from day one: smart dashboards, AI copilots, and automated workflows that drive retention and reduce churn. 2. 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 GPT-4, Claude, LLaMA, Mistral, or open-source models wired into your existing web or mobile product without breaking what already works. 3. 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻) Custom RAG pipelines and knowledge bases so your app answers using YOUR documents and data. Fast, accurate, and hallucination-resistant, powered by vector databases like Pinecone, FAISS, and Weaviate. 4. 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 ChatGPT-style assistants trained on your business data for customer support, sales, and internal tools. 5. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 Multilingual voice agents and speech-to-text pipelines that book appointments, answer calls, qualify leads, and handle support conversations automatically. 6. 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 Agents that do not just answer, they act: generating reports, searching databases, and triggering multi-step workflows on their own. 7. 𝗻𝟴𝗻 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 End-to-end automation with n8n, Make, and Zapier. I connect your apps, APIs, and AI models so manual tasks run themselves. 8. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗪𝗲𝗯 & 𝗠𝗼𝗯𝗶𝗹𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Complete products from UI/UX to backend to cloud deployment, using React, Next.js, FastAPI, Node.js, Django, and Flutter. 9. 𝗠𝗩𝗣 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Launch-ready MVPs built fast so you can validate your idea and get to market before your competitors. 𝗠𝗬 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: • LLMs & AI: GPT-4, Claude, LLaMA-2, Mistral, Falcon, Cohere • Frameworks: LangChain, LlamaIndex, HuggingFace, PyTorch, TensorFlow • RAG & Vector DBs: Pinecone, FAISS, Weaviate, ElasticSearch, ChromaDB • Automation: n8n, Make, Zapier • Full-Stack: React, Next.js, FastAPI, Node.js, Django, Flutter • Cloud & MLOps: AWS SageMaker, GCP Vertex AI, Docker, Kubernetes, MLflow • Data: Apache Kafka, Snowflake, BigQuery, Apache Spark, PostgreSQL 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗛𝗜𝗥𝗘 𝗠𝗘: • 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗶𝗻 𝗪𝗲𝗲𝗸 𝟭, so you test results instead of waiting on promises • End-to-end ownership of architecture, development, testing, and deployment • Production-ready code, not "works on my machine" demos • 𝗙𝗿𝗲𝗲 𝗿𝗲𝗯𝘂𝗶𝗹𝗱 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲: if it does not meet the agreed scope after handoff, I fix it at no cost • Full-time availability, flexible across time zones • Clear, plain-English communication 𝗛𝗢𝗪 𝗪𝗘 𝗦𝗧𝗔𝗥𝗧: 1. Message me with what your app does or what you want to build 2. Within 24 hours I will tell you exactly which AI features will have the biggest impact 3. We scope the work, agree on milestones, and I start in Week 1 𝗟𝗘𝗧 𝗨𝗦 𝗧𝗔𝗟𝗞: Message me now and I will respond within minutes. Najeeb Ullah | AI Engineer | LLM & SaaS Developer | Top Rated | 50+ Products Shipped

I'm happy to start with a free consultation, quick POC, or a test task, your call. See the quality first, then decide. I build production AI systems: computer vision pipelines, RAG knowledge bases, LLM fine-tuning, voice and chat agents that run at scale for market giants serving millions of customers. $300K+ earned across 80+ Upwork contracts and 4500+ hours, 100% Job Success, Top Rated Plus. I lead the AI engineering team at AB Ark. WHAT I BUILD Computer vision Object detection and tracking (YOLO, OpenCV), CCTV and video analytics, edge inference on NVIDIA Jetson, facial expression and body-language models, OCR and document layout analysis, image segmentation. RAG and knowledge systems Private document brains over Google Drive, SharePoint and internal wikis, with citations back to source. Vector search (pgvector, Pinecone, Qdrant), hybrid retrieval, re-ranking, multi-LLM routing, document classification and extraction. LLM engineering Fine-tuning and LoRA training, prompt architecture, evaluation harnesses so you can measure whether a change helped, structured output and schema enforcement, GPT, Claude and open-weight model integration. Voice and conversational AI Real-time voice agents on Twilio, Telnyx, Retell and LiveKit including human-like interruption handling and warm transfer to a live agent. AI agents and automation LangChain and LangGraph agents with tool calling, multi-step workflows, retrieval and human-in-the-loop approval steps. Deployment and MLOps Docker, Kubernetes, CI/CD, AWS and GCP, model serving, monitoring and drift detection. FastAPI and Django when the model needs an API around it. RECENT WORK Edge video analytics on NVIDIA Jetson: real-time object detection on CCTV streams for an on-premise deployment Private RAG "Knowledge Brain" over Google Drive with SOP indexing and citation-backed answers Computer vision SaaS for CCTV footage analysis, built as a multi-tenant product Telnyx voice assistant with warm transfer and human-like interruption handling LLM/RAG document classification and workflow design Computer vision models for facial expression, body-language analysis or custom object detection STACK Python · PyTorch · TensorFlow · OpenCV · YOLO · Hugging Face Transformers · spaCy · scikit-learn · LangChain · LangGraph · LlamaIndex · OpenAI · Anthropic · pgvector · Pinecone · FastAPI · Django · PostgreSQL · Docker · Kubernetes · AWS · GCP · NVIDIA Jetson HOW I WORK Discovery first. I define the data, the model approach and the evaluation metric before writing training code, so "done" is measurable rather than argued about. Milestones with written acceptance criteria, or hourly with daily updates. Your choice. You own the code, the model weights and the infrastructure. NDA and IP assignment on request. Send me your dataset, your accuracy target, or the pipeline you have now, and I will come back with an approach, the risks, and an estimate.

I help businesses build production ready AI applications using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI Agents, Computer Vision, and Python. With 5+ years of experience in AI and Machine Learning, I develop end to end solutions that automate workflows, extract intelligence from documents and images, enable natural language interactions, and deliver measurable business value. I focus on building reliable AI systems that move beyond prototypes and operate effectively in real world production environments. What I Can Help You Build: ✅ Generative AI Applications ✅ Custom LLM Powered Products ✅ Retrieval Augmented Generation (RAG) Systems ✅ AI Agents & Multi Agent Workflows ✅ Enterprise Knowledge Assistants ✅ AI Chatbots & Virtual Assistants ✅ Document Intelligence & OCR Platforms ✅ Computer Vision Solutions ✅ Object Detection & Tracking Systems ✅ Video Analytics Applications ✅ Face Recognition & Biometric Systems ✅ Business Process Automation ✅ AI Powered SaaS Applications ✅ Custom Python Backends & APIs Core Expertise: Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral) Retrieval-Augmented Generation (RAG) LangChain, LangGraph, LlamaIndex AI Agents & Tool-Using Systems Prompt Engineering Vector Databases (FAISS, Pinecone, ChromaDB) Computer Vision & Deep Learning YOLO, OpenCV, PyTorch OCR & Document Processing FastAPI & Django AWS & Docker Deployment MLOps & Production AI Systems Technology Stack: Python | PyTorch | TensorFlow | OpenCV | YOLO | LangChain | LangGraph | LlamaIndex | FastAPI | Django | PostgreSQL | Pinecone | AWS | Docker | CUDA | TensorRT Why Clients Hire Me: ✔ 100% Job Success Score ✔ Production ready solutions, not demos ✔ Strong focus on scalability, performance, and reliability ✔ Clear communication and transparent project execution ✔ End to end ownership from architecture to deployment ✔ Ability to bridge AI research and business requirements Whether you need an AI Agent, RAG System, LLM Application, Computer Vision Solution, OCR Platform, or a complete AI powered product, I can help transform your idea into a production ready system. Let's discuss your project and build something valuable. Regards, Jay

AI/ML Engineer | NLP, LLM, Chatbot, Computer Vision, Automation System Specialist, RAG, n8n 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ➔ 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 𝐨𝐧 𝐓𝐢𝐦𝐞, 𝐨𝐫 𝐘𝐨𝐮𝐫 𝐌𝐨𝐧𝐞𝐲 𝐁𝐚𝐜𝐤! Your AI project should deliver production-ready outcomes within 90 days, not just prototypes. I build systems that generate real ROI by combining AI agents, LLMs, automation pipelines, and scalable full-stack architectures. Over the last 10 years, I’ve helped 25+ companies, from startups to Fortune 500s, launch intelligent platforms that: ✅ Automate workflows end-to-end ✅ Save $200K+/year via clinical AI assistants ✅ Process legal contracts 10x faster with 98%+ accuracy ✅ Boost e-commerce conversions by 45% with AI-driven personalization 🔹 What I Build - LLM Apps: RAG pipelines, multi-agent workflows, fine-tuned GPT models - AI SaaS Platforms: From MVP to scalable, production-ready systems - Full-Stack Apps: React, Next.js, Node.js, FastAPI, MongoDB, PostgreSQL - AI Automation: n8n, Zapier, Make com integrations for CRMs, ERPs, SaaS tools - ML Solutions: NLP, computer vision, classification, embeddings 🔹 Tech Foundation - AI/ML: Python, LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI, Claude - Cloud & DevOps: AWS, GCP, Docker, Kubernetes, CI/CD, Render, Vercel - Frontend: React.js, Vue.js, Next.js, Tailwind, TypeScript - Backend: Node.js, Express.js, FastAPI, Django - Automation: n8n, Make, Zapier, CRM/ERP integrations - Databases: MongoDB, PostgreSQL, Redis, Firebase, Supabase 🔹 Featured Projects - ClaudeAI – LLM-powered assistant for document and task automation - Chopcastio – AI-driven video content repurposing using NLP + OpenAI - FaciaAI – 3D liveness detection system using real-time CV models - ShuftiPro com – AI identity verification platform with OCR + ML - Kommunicate io – Conversational AI & automation for enterprise CX 🔹 Why Clients Work With Me - Clean, scalable, future-proof architectures - Rapid MVP delivery & fast iteration cycles - Clear milestones, transparent collaboration - Deep AI + full-stack integration for SaaS products - Strategic focus on long-term business impact Ready to turn your AI concept into a real, working product? 📩 Message me to discuss your roadmap and launch goals. AI automation, workflow automation, Make com, Integromat, N8N, Zapier, intelligent agents, Dolibarr CRM, CRM integrations, custom CRM workflows, ERP integrations, enterprise automation, AI platforms, SaaS development, predictive analytics, machine learning, generative AI, prompt engineering, API development, webhooks, Python, JavaScript, Node.js, React, PHP, Laravel, low-code, no-code, Power Platform, Copilot Studio, Azure AI Foundry, automation pipelines, AI workflow design, productivity tools, developer analytics, full-stack SaaS automation, data insights, dashboards, lead-generation systems, scalable enterprise AI solutions.