Around 8 years in Machine Learning and 15 years in IT overall. Have experience in many aspects of machine learning starting Bayesian statistics and ending with very deep neural networks that empower computer vision pipelines and recommendation engines.

🥇 Top 1% 𝐀𝐈/𝐌𝐋 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 on Upwork 🥇 5+ Years of Experience in AI/ML Solutions 🥇 Proven Expertise in AI-Driven Applications 🥇 Available to Start Immediately – Hit the "𝐈𝐧𝐯𝐢𝐭𝐞" Button to Connect! As a highly skilled 𝐀𝐈/𝐌𝐋 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭, I specialize in delivering cutting-edge AI solutions that drive innovation across multiple industries. My experience spans Natural Language Processing (NLP), deep learning, computer vision, and AI-based automation, ensuring that your project is executed with precision, scalability, and efficiency. 𝐊𝐞𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 & 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: - Custom AI/ML models for predictive analytics and advanced AI-driven tools. - Specialized in NLP applications like text classification, named entity recognition, and sentiment analysis using BERT, GPT, and Transformers. - Developing deep learning solutions using TensorFlow, PyTorch, and Keras. - Expertise in computer vision: object detection, facial recognition, and video analysis using OpenCV. - AI automation and intelligent recommendation systems for e-commerce, healthcare, and finance. 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: - Building AI-powered SaaS applications from scratch to scale. - Seamless integration of AI models into your web and mobile applications. - Implementing AI-based automation to streamline your business workflows, saving hundreds of hours in repetitive tasks. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤: 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐍𝐋𝐏: TensorFlow, PyTorch, Keras, BERT, GPT, NLTK, spaCy 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: OpenCV, image processing, video analysis, object detection 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Building and integrating AI APIs to deliver efficient, scalable AI solutions 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Feature engineering, data preprocessing, Flask, FastAPI, AWS, Docker, GCP 𝐓𝐚𝐢𝐥𝐨𝐫𝐞𝐝 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐔𝐒 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 With a deep understanding of the US market and industry standards, I specialize in developing AI solutions that meet the unique needs of 𝐔𝐒-𝐛𝐚𝐬𝐞𝐝 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬. From compliance with HIPAA in healthcare applications to FINRA and SEC regulations. I ensure that every solution adheres to US legal and regulatory frameworks. My AI and machine learning expertise has supported businesses across Silicon Valley, Wall Street, and beyond, providing AI-driven applications for the tech, finance, healthcare, and e-commerce industries. Whether you’re a startup in San Francisco, an enterprise in New York, or a growing business in the Midwest, I am ready to deliver AI solutions that align with your business goals and drive innovation in the highly competitive US market. 𝐏𝐫𝐨𝐯𝐞𝐧 𝐈𝐦𝐩𝐚𝐜𝐭 𝐀𝐜𝐫𝐨𝐬𝐬 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 - 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞: Built custom recommendation engines that led to a 25% increase in sales and improved customer retention. - 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: Developed AI-powered diagnostic tools and automated patient management systems, improving efficiency and accuracy. - 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Designed intelligent automation systems that reduced manual tasks by 30%, leading to a substantial increase in productivity. Whether you're looking to create an 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐌𝐕𝐏, optimize business processes, or integrate deep learning models, I am here to deliver exceptional results tailored to your needs. Let's build the future together. Click "𝐈𝐧𝐯𝐢𝐭𝐞 𝐭𝐨 𝐉𝐨𝐛" and let’s discuss how we can bring your AI project to life! 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 - Artificial Intelligence & Machine Learning: Expert in developing AI-powered solutions using TensorFlow, PyTorch, Keras, and OpenCV, specializing in deep learning, natural language processing (NLP), and computer vision technologies. - Computer Vision & Image Processing: Proficient in building high-accuracy models for object detection, image classification, video analysis, and facial recognition using OpenCV and deep learning frameworks. - NLP & Advanced Text Processing: Comprehensive experience with BERT, GPT, Transformers, spaCy, and NLTK for tasks including text generation, sentiment analysis, chatbot development, and named entity recognition (NER). - AI-Driven SaaS Applications & Automation: Specialize in building and integrating AI-driven SaaS platforms, focusing on predictive analytics, AI-powered automation, and recommendation systems to optimize workflows and enhance business productivity. - API Development & Integration: Skilled in developing and integrating custom APIs for AI applications, ensuring smooth and scalable deployment across multiple platforms, using tools like Flask, FastAPI, and Node.js. - Business Applications: Delivered transformative AI solutions for healthcare, finance, e-commerce, and business automation, with a focus on improving efficiency, driving innovation, and delivering measurable ROI.

👨‍💻 I am a highly skilled AI Developer and Robotics Software Engineer with over 3 years of experience in computer vision and autonomous vehicles. My expertise spans C++, Python, and MATLAB programming, utilizing AI frameworks such as TensorFlow and PyTorch. I have a strong background in developing vision algorithms, sensor fusion, and machine learning models, specifically for autonomous navigation. Proficient in ROS1/ROS2 and various simulation tools like Nvidia Isaac Sim and Gazebo, I excel at creating innovative solutions for complex robotics challenges. 🏆 Professional Highlights: - 3+ years of experience in AI development and robotics software engineering, including TRL7 mining industry projects driving high-impact innovation - MSc in Automation and Control Engineering (ongoing) from Politecnico di Milano - Successfully deployed and optimized AI models for real-time applications in International Competition (Represented Politecnico di Milano - 2024) - Recognized for innovative contributions in autonomous navigation systems 🤝 Our Collaboration Process: 1. You provide me with the project details and any challenges you're facing. 2. I review the documentation and share my initial thoughts on how I can help. 3. We arrange a call to get to know each other, and you can ask me questions. 4. If we're a good match in terms of skills and values, we create a contract on Upwork. 5. I begin onboarding and working with your team. 🔧 Technical Skills: - Programming Languages: C++, Python, MATLAB - Robotics and Vision: ROS, OpenCV, TensorFlow, PyTorch - Autonomous Navigation: 2D/3D Vision Algorithms, Sensor Fusion, SLAM - Hardware: NVIDIA Jetson, Arduino, Raspberry Pi - Simulation Tools: Nvidia Isaac Sim, Gazebo - Algorithms and Data Structures - Team Collaboration Tools: Git, Docker, Jupyter - Operating Systems: Ubuntu, Windows 📩 If you're interested in discussing your project, feel free to click on the GREEN INVITE button to connect. ✨ Highlighted Skills: Computer Vision, Autonomous Systems, AI/ML, Robotics, Sensor Integration, Real-time Processing, ROS1 / ROS2, C++, Python, Deep Learning, TensorFlow, PyTorch, Nvidia Jetson, SLAM, Path Planning, Perception Algorithms, Simulation, TensorRT, Docker, Git, Jupyter, OpenCV, MATLAB, Teamwork, Problem-Solving, Project Management.

I build AI-powered SaaS platforms, AI agents, and launch-ready MVPs that get startups to paying users fast. Python, FastAPI, React, Next.js, and LLM integrations (OpenAI, Claude, Gemini), end to end: architecture, build, deploy, iterate. Most recent: a $15K+ production SaaS with voice agents, RAG document intelligence, and real-time analytics, live with active users today. What I build • AI agents & automation — voice agents, multi-step workflows, LLM orchestration (LangChain) • RAG & document intelligence — vector search with Pinecone, Chroma, Weaviate • Full-stack MVPs — auth, Stripe billing, role-based access, admin panels, cloud deploy • Scalable backends — FastAPI, Django, Node.js, PostgreSQL, Redis • Frontend — React, Next.js, TypeScript, Tailwind How I work I help you validate what's feasible, flag what's risky, and ship the version that reaches users and revenue fastest. Clear communication, honest timelines, no surprises. Industries: healthcare, legal tech, logistics, e-commerce, HR tech, education. 📩 Building an AI product, agent, or automation? Message me your use case — I'll tell you what's feasible, what to avoid, and how to get to production fast. 𝗙𝗿𝗲𝗲 𝟯𝟬-𝗺𝗶𝗻 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻.

I have a decade of hands-on experience in machine learning and Python backend development, and I have a strong informatics background (Ph.D. in Bioinformatics ). In addition to my Ph.D., I obtained several certificates from world-renowned institutions in data science, which helped me form sound hypotheses and clear conclusions combined with concise visualizations. I can help you build the whole ML pipeline from scratch or improve your solutions. I can handle various tasks, such as NLP, Time Series Analysis, Computer Vision, GANs, developing bots, deploying APIs for ML models, etc. Skills: - Languages: Python & R - Frameworks: PyTorch, TensorFlow, Keras, Flask - Libraries: LangChain, NumPy, Pandas, Scikit-Learn, Plotly, SciPy, NLTK, LightGBM, XGBoost - DB: MySQL, PostgreSQL, MongoDB - Version control: GIT - Other: Docker, Google Cloud, LLM, ChatGPT, LLaMA

I'm an AI engineer who designs and ships production AI agents, voice agents, and chatbots that hold up under real users and real traffic. Not glued-together templates, but systems built in code, tested, and engineered to scale. I'm Abdul Rehman, a full-stack software engineer with 5+ years building AI and automation systems in Python, TypeScript, and the modern LLM stack. What I Build Custom AI agents with real orchestration (LangGraph and the OpenAI / Claude agent SDKs), tool use, memory, and MCP integrations that connect agents to Slack, Google Drive, CRMs, and internal databases. Voice agents built on LiveKit, Vapi, or Retell, with Deepgram speech-to-text, ElevenLabs or Cartesia voices, and telephony (SIP / Twilio), tuned for sub-second latency and natural turn-taking so callers don't feel like they're fighting a robot. Chatbots and RAG systems done properly: chunking, embeddings, vector databases (Pinecone, pgvector), and reranking, so answers stay grounded in your data instead of hallucinated. LLM integration and fine-tuning across Claude, OpenAI, and open models (HuggingFace), including fine-tuning on your own data when an off-the-shelf model isn't enough. Backends and full-stack work in Python (FastAPI) and React / Next.js, with the databases, APIs, auth, and deployment to back them. And workflow automation with n8n, Make .com, and Zapier when a managed workflow is the right call, and custom code when it isn't. What Separates This From a Quick Prototype I build evals so you can measure accuracy, guardrails so the AI behaves safely, observability so you can see what it's doing in production, and latency and cost optimization so it stays fast and affordable as you scale. Recently Shipped A support chatbot that now resolves around 90% of customer questions on its own, freeing the owner from working weekends. An automated CRM that nurtures leads on autopilot so the sales team closes instead of doing data entry. OCR pipelines for EA Sports using AI vision models. How I Work I don't hand off a black box and disappear. I explain the architecture in plain language, document what I build, and stick around after launch to make sure it keeps performing. 5+ years experience | Full-stack AI engineer who builds systems that hold up in production If you're building an AI agent, a voice assistant, or an LLM-powered product, send me a short note on what you're trying to solve and I'll tell you honestly how I'd approach it.

I build production-grade AI systems that solve real business problems. With 4+ years of experience, I move beyond "notebook experiments" to architect scalable, end-to-end solutions for healthcare, logistics, and SaaS. Whether you need to reduce inference latency, build a custom LLM chatbot (RAG), or deploy edge-based Computer Vision, I deliver code that works in the real world. Key Achievements: - Logistics: Improved lane-departure accuracy to 90%+ using custom geometric + CV algorithms. - Healthcare AI: Deployed a real-time elderly-care monitoring system using YOLO on edge devices. - Performance: Reduced enterprise file-processing latency by 40% via asynchronous multi-threaded pipelines. - Predictive Modeling: Achieved 91% accuracy on order acceptance models, directly impacting operational efficiency. My Core Services: ---------------------- 🚀 Generative AI & RAG Systems I design scalable Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge extraction: - Hybrid retrieval (Structured + Unstructured data). - Vector DB integration (Pinecone, FAISS, MongoDB Atlas). - LangChain/LlamaIndex workflows with optimized query routing. 👁️ Computer Vision & Edge AI Robust pipelines optimized for speed and real-time inference. - Object Detection & Tracking (YOLO, OpenCV). - Activity Recognition & Anomaly Detection. - Deployment on edge devices with GPU acceleration. ⚙️ MLOps & Cloud Deployment I don't just build models; I deploy them. - Cloud: AWS, GCP, Azure. - Tools: Docker, Kubernetes, CI/CD, Ollama. - Deep Learning: TensorFlow, PyTorch, Keras. 📊 Data Analytics & Dashboarding Turning raw data into actionable insights using SQL, Power BI, and Tableau.

I build AI agents, AI integrations, chatbots, automation systems, and AI SaaS platforms that run in production: LangChain, LangGraph, CrewAI, n8n workflows, RAG pipelines, and AI voice agents with Vapi and Retell AI. 𝗕𝗲𝗳𝗼𝗿𝗲 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗮𝗻𝘆 𝗰𝗼𝗱𝗲, 𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗔𝗜 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝘀𝗼 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘄𝗵𝗮𝘁 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱, 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗰𝗼𝘀𝘁𝘀, 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘁𝗼 𝘀𝗸𝗶𝗽. Most wasted AI budget comes from building the wrong thing first. The businesses I work with usually have the same problem: manual processes, disconnected tools, and leads or support tickets that sit untouched for hours. I replace that with systems that respond in seconds and run 24/7 without adding headcount. ➤ 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ✔ AI Agents and Agentic Workflows: autonomous and tool-using agents, multi-agent systems, function calling, MCP integrations (LangChain, LangGraph, CrewAI) ✔ AI Integration: connect OpenAI, Claude, and Gemini to your existing tools, CRM, and internal systems so AI works inside the workflows you already run ✔ AI Automation: n8n, Make, and Zapier workflows to automate lead qualification, CRM updates, email follow-up, reporting, and business processes ✔ AI Chatbot Development: context-aware support and sales chatbots for web, WhatsApp, and Slack, connected to your knowledge base, CRM, and calendar ✔ AI Voice Agents: inbound and outbound calling, AI receptionists, appointment booking, lead qualification (Vapi, Retell AI, ElevenLabs, Twilio, Deepgram) ✔ RAG Systems: knowledge bases grounded in your real documents with semantic search and vector databases (Pinecone, pgvector, Qdrant, ChromaDB) ✔ AI SaaS Platforms: full-stack development with multi-tenant architecture, auth, Stripe billing, dashboards, and deployment included ✔ Backend and API Integration: Python, FastAPI, Node.js, PostgreSQL, Supabase, REST APIs, webhooks ➤ 𝗦𝗵𝗶𝗽𝗽𝗲𝗱 𝗪𝗼𝗿𝗸 ✔ NFC-linked commerce platform for music artists: artist storefronts, product discovery, sales and tap analytics dashboards ✔ Event ticketing platform: event creation, checkout, and payment flows with fintech integrations ✔ Production data warehouse on Amazon Redshift for a Berlin climate-fintech company, delivered across structured milestones ✔ AI recruiting platform: trigger-based candidate sourcing with LLM scoring and automated write-back to Google Sheets ✔ Multiple production automation pipelines connecting CRMs, payment systems, and marketing tools Every system ships documented, deployed, and maintainable by your team. No black boxes, no vendor lock-in. ➤ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 ✔ AI and LLMs: OpenAI GPT-4o, Claude, Gemini, LangChain, LangGraph, CrewAI, LlamaIndex, MCP, prompt engineering, generative AI ✔ Voice: Vapi, Retell AI, ElevenLabs, Twilio, Deepgram, Whisper ✔ Automation: n8n, Make, Zapier ✔ Data: PostgreSQL, Supabase, Pinecone, pgvector, Redis ✔ Backend: Python, FastAPI, Node.js, REST APIs, webhooks, microservices ✔ Frontend and Cloud: React, Next.js, AWS, GCP, Docker, Vercel ✔ Integrations: HubSpot, GoHighLevel, Salesforce, Stripe, Google Calendar, WhatsApp Business API ➤ 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Scoping call to understand your workflow and bottlenecks AI roadmap and architecture before any code is written Fast working prototype, then production hardening Documentation and handoff so your team owns the system Tell me the process that costs your team the most time. I will tell you exactly how I would automate it and what it would cost. ➤ 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 ai agent development, ai agents, ai automation, ai integration, artificial intelligence, chatbot development, ai chatbot, chatgpt integration, generative ai, automation, workflow automation, n8n, make automation, zapier, agentic ai, ai voice agent, voice ai, conversational ai, prompt engineering, llm integration, rag, retrieval augmented generation, langchain, langgraph, crewai, multi-agent systems, mcp, openai api, gpt-4o, claude, gemini, vapi, retell ai, elevenlabs, twilio, deepgram, vector database, pinecone, python, fastapi, node.js, react, api integration, backend development, saas development, full stack development, business process automation, customer support automation, lead qualification, appointment booking

Want to deploy production-ready AI models, automate complex visual/text workflows, or build rigorous data pipelines? I bridge the gap between advanced research and scalable engineering. As an ML Engineer and Data Scientist with a Master’s degree, I specialize in building deterministic, high-performance AI systems. From fine-tuning LLMs and training computer vision models to engineering leakage-aware research datasets, I deliver clean, reproducible, and production-grade code. Whether you are a startup needing a custom RAG pipeline or an enterprise optimizing massive datasets, I ensure your models perform with mathematical precision. 🚀 CORE CAPABILITIES • AI Systems, LLMs & Automation Building robust RAG pipelines, structured data extraction systems, and automated workflows using Gemini, OpenAI, and Claude APIs. Expert in prompting strategies that yield deterministic, enterprise-grade outputs. • Natural Language Processing (NLP) & Dataset Engineering Experienced with Hugging Face Transformers for text classification, summarization, and multi-label categorization. Specialized in building leak-aware, balanced training/validation pipelines (e.g., CVEfixes vulnerability dataset parsing). • Computer Vision & Synthetic Data Generation Hands-on experience with object detection, image segmentation (U-Net variants), and custom preprocessing. I design synthetic image/video generation pipelines using state-of-the-art tools (Runway, Vidu, Veo, Stable Diffusion) for specialized model training and simulation datasets. • Machine Learning & Deep Learning (PyTorch & TensorFlow) End-to-end model development, validation, and optimization using PyTorch, TensorFlow, and Scikit-Learn. Expert at resolving class imbalances, handling massive datasets, and model benchmarking. • Statistical Modeling & Time Series Deep mathematical background in optimization, logistic/linear regression, hypothesis testing, and time-series forecasting. Experienced with complex real-world data analysis (e.g., NHANES health prediction models). • Data Quality & Engineering Advanced data cleaning and curation using Python, R, CleanLab, and Argilla to isolate and eliminate noise, outliers, and duplicates before they hit your training loop. 🛠️ TECHNICAL TOOLKIT • Languages: Python, R, Bash, SQL • AI/ML Frameworks: PyTorch, TensorFlow, Scikit-Learn, Hugging Face • Data Tools: CleanLab, Argilla, Pandas, NumPy, Excel (Pivot Tables) • Visualization: R (ggplot2), Python (Matplotlib, Seaborn) • Generative Media: Veo, Runway, Vidu, Stable Diffusion API Let’s turn your data into a competitive advantage. Click the "Invite to Job" button to discuss your project requirements!

AI Engineer | Machine Learning Engineer | LLM Developer | Generative AI | MLOps Expert I help businesses build scalable AI solutions using LLMs, Generative AI, and Machine Learning. Specialized in ChatGPT, RAG systems, AI chatbots, and production-ready ML pipelines. 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 8+ years of experience building end-to-end Artificial Intelligence solutions for finance, InsurTech, SaaS, and enterprise businesses. I specialize in Machine Learning, Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI, helping companies develop scalable, production-ready AI systems. My expertise includes building LLM applications, ChatGPT-based solutions, OpenAI API integrations, AI chatbots, AI automation systems, and Retrieval-Augmented Generation (RAG) pipelines using modern tools and frameworks. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: - AI Engineer | Machine Learning Engineer | AI Developer - LLM Developer | Generative AI Expert | ChatGPT Developer - NLP (Natural Language Processing) & Deep Learning - RAG (Retrieval-Augmented Generation) systems - AI Chatbot Development & AI Automation - MLOps & LLMOps (Model Deployment, CI/CD, Monitoring) - Predictive Analytics & Data Science 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: - Python | PyTorch | TensorFlow | Hugging Face | LangChain - OpenAI API | MLflow | AWS SageMaker | FastAPI - Docker | Kubernetes | AWS | GCP | Azure - Vector DBs: FAISS | Pinecone | pgvector 𝐖𝐡𝐚𝐭 𝐈’𝐯𝐞 𝐁𝐮𝐢𝐥𝐭: - AI-powered fraud detection systems - Document intelligence & claims automation platforms - AI chatbots and ChatGPT applications - RAG-based knowledge systems with vector databases - Scalable Machine Learning pipelines & AI SaaS products 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫: - Custom AI & Machine Learning development - LLM application development (ChatGPT, OpenAI, LangChain) - Generative AI & AI automation solutions - RAG pipeline & vector database implementation - Model deployment (AWS, GCP, Azure) - MLOps & LLMOps pipeline setup 𝐒𝐤𝐢𝐥𝐥𝐬: Artificial Intelligence (AI), Machine Learning, Deep Learning, Natural Language Processing (NLP), Generative AI, Large Language Models (LLMs), ChatGPT, OpenAI API Integration, LangChain, Hugging Face Transformers, AI Chatbot Development, Retrieval-Augmented Generation (RAG), MLOps, LLMOps, Model Deployment, API Development, AWS, GCP, Azure Cloud Services, Python Programming. 𝐖𝐡𝐲 𝐇𝐢𝐫𝐞 𝐌𝐞: - Strong expertise in AI, Machine Learning, LLM, Generative AI, and MLOps - Production-ready, scalable AI solutions - Clean, maintainable, and efficient code - Fast communication and reliable delivery - Focus on business-driven, ROI-focused AI systems If you're looking for an AI Engineer, Machine Learning Engineer, AI Developer, LLM Expert, ChatGPT Developer, or Generative AI Specialist, I can help you build, deploy, and scale intelligent AI solutions. 📩Let’s connect and turn your idea into a powerful AI product 🤝