I design and deploy AI systems that don’t just launch, they scale and perform reliably in production. With 50+ live deployments and 100% client satisfaction, I’ve built everything from intelligent AI solutions and Chatbot Development projects to advanced Computer Vision pipelines and predictive Machine Learning models. As an AWS Certified AI Engineer and Head of AI, I specialize in end-to-end AI architecture using Python, PyTorch, TensorFlow and modern cloud platforms like Amazon Web Services, Azure and DigitalOcean. My expertise spans AI Agent Development, Natural Language Processing, Retrieval Augmented Generation, Deep Learning, Data Science and advanced Data Analysis, delivering robust MVPs and fully production-ready AI platforms that drive real business impact. Notable Achievements: ✦ Reaktion: Developed an AI-powered chatbot using Machine Learning and NLP to deliver advanced Data Analytics and dynamic Data Visualization directly from database queries. Reduced manual reporting effort by 60%. ✦ Partfiniti: Automated BOM extraction from PDFs, emails, excel and images into structured JSON with part lookup and natural language generation, improved extraction accuracy to 92%. ✦ Finsight: FinTech forecasting platform on AWS (EC2, RDS, S3) with FastAPI, Streamlit and predictive ML models, improved forecasting accuracy by 28%. ✦ GIS Mineral Analytics: Built end-to-end ETL pipelines with PostGIS, kriging, KNN, IDW and anomaly detection to power predictive mineral mapping and dynamic heatmaps, reducing exploration risk by 28% and improving drill targeting accuracy by 35%. Areas of Expertise: ✦ Machine Learning: (scikit-learn, XGBoost, Time-Series Forecasting), Python (FastAPI, Streamlit) ✦ Gen AI: LLMs, NLP, RAG Pipelines, OpenAI, Llama, AI Agents, ChatGPT ✦ Audio and Speech AI: AI Voice Agents, STT, TTS, TensorFlow Audio Classification APIs ✦ Computer Vision: OCR, Object Detection, Segmentation, Emotion Detection, Image Recognition (OpenCV, Tesseract), Image Generation, Data Extraction ✦ Cloud-Native AI: AWS Lambda, EC2, RDS, S3, Azure AI, FastAPI, Streamlit, API integration, secure backend systems Why do clients love working with me? ✦ Successfully launched production-ready AI/ML systems with measurable business impact. ✦ Scalable, high-quality solutions powered by Generative AI and Machine Learning. ✦ Reliable long-term partner focused on clarity, performance and sustainable growth. ✦ Strong balance of deep technical expertise and real-world business outcomes across multiple industries. 💬 Feel free to reach out anytime! Let’s build the AI-powered success your business deserves and transform your ideas into production-ready impact!

MLOps & LLM Expert | Scalable AI Infrastructure | RAG Systems | AWS, Openclaw, RunPod Hi, I’m Najeeb, an AI Engineer with 8+ years of experience building production-ready systems powered by Large Language Models, MLOps, and Generative AI. I’ve led projects across startups and enterprises, delivering solutions for conversational AI, RAG, speech models, and more. What I Deliver: LLM & RAG Systems: LangChain, Pinecone, Chroma, HuggingFace, Claude, Llama, Openclaw MLOps & Deployment: RunPod, AWS Sagemaker, GCP Vertex AI, Azure, Docker, CI/CD, Kubernetes Inference & API Services: FastAPI, Flask, OpenAI-compatible endpoints Prompt Engineering: GPT-4, LLaMA2, Claude, Gemini; evaluation, tuning, semantic search AI SaaS MVPs: Fast, scalable products using Django, React, and Next.js Automation: N8N, Make, Zapier for agent workflows, backend triggers, pipelines 📌 Tech Stack: LangChain, LLM, RAG, RunPod, OpenAI, HuggingFace, AWS, Azure, FastAPI, Vector DB, Docker, Kubernetes, Python, MongoDB, Prompt Engineering, MLOps, Speech AI, Stable Diffusion, LORA, CI/CD ⭐ Why Clients Choose Me: 27+ successful projects on Upwork across LLM, GenAI, and backend systems Proven track record with Runpod serverless APIs, ComfyUI pipelines, and ChatGPT-style bots Experience with enterprise workloads: SDK development, real-time LLM serving, speech/audio models Fast delivery, clear communication, and long-term partnership mindset Let’s connect if you want to deploy AI products faster, better, and smarter.

✅ Milestone-driven delivery with measurable results ✅ Unlimited refinements until you're satisfied ✅ Quality, reliability, and real-world impact come first I build AI-powered assistants, automations, and generative systems that businesses can actually use, not just models, but complete, working solutions. From chatbots that answer questions over your data, to AI agents that automate workflows, to systems that generate content or insights. I focus on turning AI into something practical, scalable, and reliable in production. --- How I Work ✔️ Clear milestones and structured execution ✔️ Fast iterations with regular, tangible deliverables ✔️ Feedback-driven development ✔️ Clean system design that scales beyond MVP --- What I Can Build for You 🔹 AI Chatbots & Assistants – RAG systems, knowledge bots, customer support automation 🔹 AI Agents & Automation – Multi-step workflows, tool-calling agents, business process automation 🔹 Generative AI Systems – Text, image, and content generation pipelines 🔹 Machine Learning Solutions – Predictive models, clustering, recommendation systems 🔹 Computer Vision – Detection, tracking, OCR, segmentation pipelines 🔹 Data Systems – ETL pipelines, analytics workflows, structured data processing --- Tech Stack & Tools 🔹 Languages: Python, SQL, JavaScript, R 🔹 Libraries: Pandas, NumPy, OpenCV, Scikit-Learn, Matplotlib, Seaborn, NLTK, Transformers 🔹 Frameworks: PyTorch, TensorFlow, Keras, LangChain 🔹 Visualization: Power BI, Tableau, Plotly, QGIS, MatLab 🔹 Others: Git, Docker, VS Code, Jupyter, Airflow --- My focus is simple: build AI systems that work reliably in real environments, integrate cleanly with your product, and deliver measurable results, not just prototypes. If you're looking to build an AI system — whether it's a chatbot, automation, or generative tool, I'll help you design it properly and ship it end-to-end. 📩 Let's connect. Share your use case, and I'll propose a clear plan with architecture, milestones, and delivery steps.

𝐈 𝐭𝐮𝐫𝐧 𝐫𝐨𝐮𝐠𝐡 𝐀𝐈 / 𝐒𝐚𝐚𝐒 𝐢𝐝𝐞𝐚𝐬 𝐢𝐧𝐭𝐨 𝐫𝐞𝐚𝐥, 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬. I’m 𝐉𝐚𝐭𝐢𝐧 - an AI/SaaS architect and full-stack developer. Most clients come to me when they have an idea, messy workflow, existing product, or AI feature and need someone who can turn it into a clean, scalable system. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐛𝐞𝐬𝐭 :- ================================================= • AI agents, RAG chatbots, GPT/OpenAI/Claude integrations • SaaS MVPs from idea to launch-ready product • n8n, Make .com, API, CRM, and workflow automation • React, Node JS, Python, FastAPI, Flutter apps • IoT dashboards, admin panels, and data platforms • AI features inside existing web or mobile products • Technical architecture when the idea is still unclear 𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐨𝐫𝐤 𝐈’𝐯𝐞 𝐡𝐚𝐧𝐝𝐥𝐞𝐝 :- =============================== • Predictive maintenance AI system • Smart energy optimization model • Cloud-based IoT building dashboard • AI personalization / intro engine • SaaS planning and product architecture • Legacy Access system converted into web/mobile UX I’m not the person you hire just to blindly follow tickets. I’m the person you bring in when you need someone who can understand the product, think through the architecture, suggest better options, and still build hands-on. 𝐇𝐨𝐰 𝐈 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐰𝐨𝐫𝐤 :- ============================== ~ First, I understand the real goal. ~ Then I break the product into the smallest useful version. ~ After that, I build clean foundations so you don’t need to rebuild everything later. I keep communication simple, decisions practical, and development focused on what actually helps the business. 𝐈𝐟 𝐲𝐨𝐮’𝐫𝐞 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 :- ================================ AI tool, SaaS MVP, automation system, RAG chatbot, dashboard, mobile app, or internal business platform - invite me to your job and I’ll suggest the most practical first step. 𝐉𝐚𝐭𝐢𝐧 𝐊𝐚𝐩𝐨𝐨𝐫 Senior Developer | AI/ML | SaaS | Full-Stack Ex-Microsoft | Ex-Deloitte | 12+ Years Experience

𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗰𝘂𝘁𝘁𝗶𝗻𝗴-𝗲𝗱𝗴𝗲 𝗔𝗜 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻. If you are looking to integrate Artificial Intelligence into your business, you do not just need code, you need a strategy. You need an architecture that scales, models that perform in the wild, and a pipeline that is cost-effective. I am 𝗔𝗱𝗶𝗹 𝗔𝗳𝘇𝗮𝗹, an AI Solutions Architect and Founder of XeroAI. 𝗠𝘆 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹: 𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗼𝗳 𝗕𝗼𝘁𝗵 𝗪𝗼𝗿𝗹𝗱𝘀 I operate primarily as an expert freelancer and 𝗟𝗲𝗮𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁. This means when we discuss your project, you are speaking directly to the engineer designing your system, not a salesperson. I personally oversee the core AI architecture, model selection, and strategy. However, for projects that require full-stack development (Web/Mobile integration, Data Labeling, UI/UX), I bring the full support of my team at 𝗫𝗲𝗿𝗼𝗔𝗜. This allows me to offer you: 𝟭. 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 I am your Single Point of Contact (SPOC). 𝟮. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: We can handle everything from a simple Python script to a full-scale SaaS platform. 🚀 𝗖𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝗰𝗶𝗲𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 👁️ 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 (𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝘁𝗼 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻) • 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: YOLOv8/v10, DeepSort, and MediaPipe for real-time analytics. • 𝗘𝗱𝗴𝗲 𝗔𝗜: Deploying heavy models on lightweight devices (NVIDIA Jetson, Raspberry Pi, Mobile) using TensorRT and TF Lite. • 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 & 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: Segmentation, Defect Detection, and OCR. 🤖 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀) • 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Building custom chatbots that "talk" to your PDFs, SQL databases, or Notion using LangChain and Vector DBs (Pinecone, Milvus). • 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴: Customizing Llama 3, Mistral, or GPT-4 for niche industrial tasks. • 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: Developing autonomous agents that can execute workflows and browse the web. 🗣️ 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 (𝗡𝗟𝗣) • Sentiment Analysis, Named Entity Recognition (NER), and Text Summarization. • Audio Intelligence (Whisper, TTS). 🏭 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁 We have successfully transformed workflows in: • 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲: Crop monitoring and disease detection. • 𝗦𝗽𝗼𝗿𝘁𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Player tracking and pose estimation. • 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: Medical imaging diagnostics. • 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗦𝘂𝗿𝘃𝗲𝗶𝗹𝗹𝗮𝗻𝗰𝗲: Smart surveillance and anomaly detection. 🛠️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 • 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python, C++, Dart (Flutter). • 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Keras, OpenCV, Scikit-learn. • 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Docker, AWS (SageMaker, Lambda), GCP, Streamlit, FastAPI. 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲, how AI can transform your business. Visit 𝘅𝗲𝗿𝗼𝗮𝗶.𝗰𝗼𝗺 to see our work, and let’s build something extraordinary together. Click "𝗜𝗻𝘃𝗶𝘁𝗲 𝘁𝗼 𝗝𝗼𝗯" to schedule a brief consultation about your project goals.

𝐄𝐯𝐞𝐫𝐲 𝐡𝐨𝐮𝐫 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐬𝐩𝐞𝐧𝐝𝐬 𝐦𝐚𝐧𝐮𝐚𝐥𝐥𝐲 𝐝𝐨𝐮𝐛𝐥𝐞-𝐜𝐡𝐞𝐜𝐤𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐞𝐫𝐫𝐨𝐫𝐬, 𝐡𝐮𝐧𝐭𝐢𝐧𝐠 𝐟𝐨𝐫 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐢𝐧𝐬𝐢𝐝𝐞 𝐮𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐟𝐢𝐥𝐞𝐬, 𝐨𝐫 𝐟𝐢𝐱𝐢𝐧𝐠 𝐡𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐞𝐝 𝐀𝐈 𝐚𝐧𝐬𝐰𝐞𝐫𝐬 𝐢𝐬 𝐝𝐢𝐫𝐞𝐜𝐭 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐰𝐚𝐬𝐭𝐞. I fix that by building custom enterprise 𝐑𝐀𝐆 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐎𝐂𝐑 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐞𝐧𝐠𝐢𝐧𝐞𝐬, and 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 tools that process complex corporate data with 95%+ accuracy. 𝐘𝐨𝐮'𝐫𝐞 𝐥𝐢𝐤𝐞𝐥𝐲 𝐡𝐞𝐫𝐞 𝐛𝐞𝐜𝐚𝐮𝐬𝐞: 🔆Your current RAG pipeline is slow, expensive, and fails to handle messy company files. 🔆Your vision models look perfect in private testing but fail under live camera conditions. 🔆Your current OCR setup reads text poorly and forces your team into manual corrections. 🔆Your data systems are slow because your core software cannot parse messy documents. 🔆You need an expert who builds production code instead of fragile third-party API hooks. 𝐖𝐡𝐚𝐭 𝐈 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐝𝐨: ➜Architect custom enterprise RAG pipelines trained securely on your company knowledge. ➜ Deploy high-accuracy vision models for tracking, detection, and crowd tracking. ➜ Build custom OCR document engines to extract clean text from messy files. ➜ Architect secure enterprise RAG systems trained entirely on your database. ➜ Integrate vision and document AI tools into web dashboards and SaaS setups. ➜ Embed lightweight machine learning models directly into mobile applications. 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤 ➜ Establish clear project specifications before code development starts. ➜ Send quick weekly updates so you know exactly what is happening. ➜ Test all vision and document pipelines under live traffic conditions. ➜ Flag model integration risks early to prevent any unexpected surprises. 𝐏𝐫𝐨𝐨𝐟: 🔆 70% Reduction in user data search times via engineered RAG channels. 🔆 95%+ Accuracy achieved in real-world computer vision environments 🔆 70% Reduction in user data search times via engineered RAG channels 🔆 60% Operational cost savings delivered through automated OCR pipelines 𝐒𝐞𝐧𝐝 𝐦𝐞: ➜Your dataset or current machine learning software setup. ➜What is blocking your vision or text extraction pipeline. ➜Your primary target for system performance and accuracy. ➜What is blocking your retrieval accuracy or data processing pipeline. 𝐈 𝐰𝐢𝐥𝐥 𝐦𝐚𝐩 𝐭𝐡𝐞 𝐟𝐚𝐬𝐭𝐞𝐬𝐭 𝐰𝐚𝐲 𝐭𝐨 𝐦𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦 𝐰𝐨𝐫𝐤, 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐰𝐢𝐭𝐡𝐢𝐧 𝐨𝐧𝐞 𝐦𝐞𝐬𝐬𝐚𝐠𝐞. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐭𝐨𝐝𝐚𝐲 𝐭𝐨 𝐠𝐞𝐭 𝐬𝐭𝐚𝐫𝐭𝐞𝐝! Computer Vision Expert, AI/ML Development, Ai Machine Learning, Computer Vision, Cross-Platform Apps, React Native Developer, Full Stack Developer, Php full stack development, Deep learning specialist, MERN Stack Developer, Flutter Developer, Android App Development, AWS (S3, EC2, Lambda), Node.js Developer, Serverless Functions, RESTful APIs, GraphQL APIs, MongoDB, MySQL, Supabase, Python Backend, Backend Integration for AI, Mobile app UI/UX Design, App Prototype Development, python full stack developer, full stack developer react, iOS App Development, Kotlin, Swift, Dart, Native Mobile Applications, Hybrid App Solutions, Mobile App Development, Tablet App Developer, Firebase, AWS (S3, EC2, Lambda), Google Cloud, Node.js Developer, Python Backend, Serverless Functions, GraphQL APIs, MongoDB, RESTful APIs, MySQL, Supabase, Backend Integration for AI, Google Cloud, Firebase

I excel in Machine Learning (ML), Deep Learning (DL), Data Analysis, Large Language Models (LLM), Language Chain (LangChain), and Automation with 7+ years of experience. 🤖 Machine Learning & AI Development: Deep Learning & Neural Networks: Expertise in TensorFlow, PyTorch, and Keras for sophisticated model building. Natural Language Processing (NLP): Proficient in SpaCy, NLTK, and OpenAI models for advanced NLP applications. Computer Vision: Developing state-of-the-art image recognition systems with OpenCV. Large Language Models (LLMs): Skilled in GPT-4o, GPT-4, GPT-3.5, Claude, Llama 3, Llama 3.1, and Mistral, with LangChain for multi-agent systems. Scalable Vector Search: Utilizing Pinecone, Chroma, and FAISS for efficient vector search. Speech Recognition & Transcription: Implementing Whisper for fast and accurate speech-to-text solutions. 🌐 Web Scraping & Data Extraction: Advanced Web Scraping: Utilizing Selenium, Beautiful Soup, and Scrapy to extract valuable data, even from complex sites. Data Manipulation & Cleaning: Precision handling and analysis using pandas. Real-time Data Feeds: Automated data extraction for up-to-date market analysis and strategic insights. ⚙️ Automation Expertise: Automation Platforms: Extensive experience with Make, Zapier, and n8n for seamless workflow automation. API Integrations: Expertise in connecting APIs and streamlining data workflows to synchronize platforms and applications in real-time. Multi-step Automation: Building complex, logic-driven automation scenarios to reduce manual tasks and enhance efficiency. Custom Scripts: Writing Python-based scripts to automate tasks, process large datasets, and handle integration challenges. Voice AI Automation: Integrating VAPI-powered voice bots into automated workflows for appointment booking, customer feedback collection, and real-time audio interactions.

⭐⭐⭐ 𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝑨𝑰 & 𝑫𝒂𝒕𝒂 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 ⭐⭐⭐ Hi there! I’m 𝐈𝐦𝐚𝐚𝐝 𝐔𝐥𝐥𝐚𝐡, a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 with a 𝐌𝐚𝐬𝐭𝐞𝐫’𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 and 𝐨𝐯𝐞𝐫 𝟓 𝐲𝐞𝐚𝐫𝐬 of 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 delivering 𝐡𝐢𝐠𝐡-𝐢𝐦𝐩𝐚𝐜𝐭 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. I specialize in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏), 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, helping businesses 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 raw data to 𝐮𝐧𝐥𝐨𝐜𝐤 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐭𝐚𝐬𝐤𝐬 using 𝐀𝐈. ⦿ 🚀 𝑾𝒉𝒂𝒕 𝑰 𝑶𝒇𝒇𝒆𝒓? » 🤖 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ✅– From data preprocessing to deployment. » 🧠 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐍𝐋𝐏 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ✅– Chatbots, text analysis, image recognition, and more. » 📊 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 ✅– Turn raw data into business intelligence. » 🐍 𝐂𝐮𝐬𝐭𝐨𝐦 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✅– Automated scripts, data pipelines, and AI integrations. » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 ✅– Present complex data clearly and thoughtfully. ⦿ 🛠 𝑲𝒆𝒚 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆: » 🤖 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐀𝐈: Predictive Modeling, Deep Learning, Regression, Classification, Time Series » 📝 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) – Chatbots, Text Analysis, Sentiment Analysis, LLMs » 🖼️ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – Image Recognition and Classification, Object Detection, OCR » 📊 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – Forecasting, Anamoly Detection, Data-Driven Decision Making, Business Intelligence » 🐍 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 – Automation, API Development & Integration, Data Pipelines » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 – Matplotlib, Seaborn, Power BI & Tableau ⦿ 🛠 𝑻𝒆𝒄𝒉 𝑺𝒕𝒂𝒄𝒌 & 𝑻𝒐𝒐𝒍𝒔: » 🐍 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 – Python, R, C++ » 📦𝐌𝐋 & 𝐃𝐋 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: TensorFlow, Keras, Scikit-learn, OpenCV, PyTorch, NLTK » 🗄️ 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Pandas, NumPy, SciPy & SQL » 📊 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Matplotlib, Seaborn, Tableau, and PowerBI » 🖥️ 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 – Jupyter Notebook, PyCharm, Spyder » ☁️ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 – AWS, Google Cloud, Flask, FastAPI ⦿ 💡 𝑾𝒉𝒚 𝑯𝒊𝒓𝒆 𝑴𝒆? » 🚀 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝: Successfully delivered ML and AI solutions across various industries. » 🎯 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐀𝐈: I align AI/ML solutions with your business goals to maximize impact. » 💡 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Skilled in Scikit-learn, TensorFlow, Keras, OpenCV, Pandas, NumPy, NLP libraries (NLTK, SpaCy), and more. » ⚡ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞: I prioritize accuracy, efficiency, and timely delivery in every project. » 📞 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Regular updates & well-documented code. 📩 𝑳𝒆𝒕'𝒔 𝑩𝒖𝒊𝒍𝒅 𝑺𝒐𝒎𝒆𝒕𝒉𝒊𝒏𝒈 𝑨𝒎𝒂𝒛𝒊𝒏𝒈! If you're looking for a dedicated, results-driven data scientist to help with your ML/AI projects, let’s connect! I’m excited to collaborate and bring data-driven innovation to your business. 📌 Click "𝑯𝒊𝒓𝒆" to get started!

I build specialized ML models for time series data, paired with conversational AI interfaces that let users query their data, generate forecasts and detect anomalies in natural language — replacing static dashboards with direct, interactive access to the data and models. PhD in statistics, 15+ years in applied ML, with peer-reviewed publications. AWS-certified ML specialist and generative AI developer. Deliverables: - ML models for time series forecasting, anomaly detection, clustering and classification - AI agents with Amazon Bedrock AgentCore and Strands Agents - Serverless ML solutions on AWS Lambda with Amazon API Gateway endpoints - Custom Amazon SageMaker containers for training and inference - Integration with data backends such as ClickHouse, PostgreSQL and S3 Tools & frameworks: Python · SQL · Docker · PyTorch · TensorFlow · scikit-learn · XGBoost · LightGBM · CatBoost · Amazon Bedrock (AgentCore, Strands Agents) · Amazon SageMaker (AutoPilot, BYOC) · AWS Lambda · Amazon API Gateway · ClickHouse · PostgreSQL · RDS · S3

My production systems are used by millions of people every day. Over 40 banks and financial institutions across multiple countries rely on AI infrastructure I built — from passport validation and deepfake detection to multilingual OCR, agentic RAG, and facial liveness verification. What separates my work from most ML engineers: I do not stop at the model. I build the APIs, the backend infrastructure, the mobile integrations, and the edge deployment pipelines that make AI actually run in production — on constrained hardware, at scale, without cloud dependency. If you need it to work in the real world, not just in a notebook — that is what I do. ✅ What I Offer: 🔹 End-to-End AI System Development From model design to full production deployment — APIs, backend systems, mobile integration, and edge-ready pipelines 🔹 LLMs, Generative AI & RAG Systems Fine-tuning (LoRA, QLoRA, SFT, DPO), agentic workflows, RAG pipelines, multilingual AI, and voice-based intelligent agents 🔹 Computer Vision & Document AI Facial recognition, liveness detection, passport validation, MRZ extraction, OCR (including low-resource languages), ICAO-compliant processing 🔹 Deepfake Detection & Fraud Prevention Production-grade anti-spoofing systems with ultra-low false accept rates for secure eKYC and identity verification 🔹 AI for Fintech & eKYC Solutions Complete onboarding pipelines used by banks — document verification, facial matching, fraud detection, and compliance-ready systems 🔹 Data Annotation & Dataset Engineering High-quality image and video annotation (bounding boxes, segmentation, keypoints, tracking) Custom dataset creation, cleaning, and labeling pipelines optimized for model performance ------------------------------ 🎯PRODUCTION METRICS — LIVE SYSTEMS Every number below is from a system running in production right now: 🔹 RAG-based voice agent: under 5 sec end-to-end latency | Precision@K above 98% 🔹 Gen AI transliteration agent: under 1% Word Error Rate 🔹 Facial Recognition system: under 1% FRR | Deployed on CPU at scale with less than 5 sec latency 🔹 Document & passport validation: under 1% false rejection rate 🔹 Deepfake detection: 0.3% false accept rate | zero fakes pass | beats published SOTA 🔹 Custom OCR (Urdu & low-resource): under 1% Word Error Rate 🔹 ICAO background removal: production-certified | live in eKYC flows These are not benchmarks. These are live metrics on systems processing real user data at this moment. ------------------------------ ✅ CORE EXPERTISE 🔹 LLM Fine-tuning & Generative AI I fine-tune Llama and GPT-family models for domain-specific tasks — transliteration, document-grounded generation, structured extraction. Full pipeline: LoRA, QLoRA, SFT, and DPO alignment. 🔹 Computer Vision & Document AI Passport validation, CNIC processing, MRZ extraction, ICAO-compliant background removal, facial comparison, occlusion detection, and liveness verification. My masked facial recognition system using diffusion models was developed as graduate thesis research. 🔹 Deepfake & Fraud Detection Deployed deepfake detection that surpasses current published SOTA — 0.3% false-accept rate, zero fake approvals in production. One of the most reliable anti-spoofing systems in active eKYC deployment today. 🔹 AI Agents & RAG Systems Production-grade agentic pipelines — RAG-based voice agents, tool-calling systems, multi-step reasoning workflows. Sub-5-second latency, Precision@K above 98%, running live. 🔹 eKYC & Fintech AI Infrastructure End-to-end AI backbone for digital onboarding systems trusted by 40+ banks — decency verification, facial liveness, document fraud detection, multilingual OCR. From Model to Production — APIs, Mobile & Edge This is where most ML engineers stop. I do not. I build: 🔹 Scalable REST APIs and ML serving pipelines (Python, FastAPI, chi, Golang) 🔹 Concurrent, high-throughput backend systems in Golang for low-resource and CPU-only environments 🔹 Android mobile applications in Kotlin with on-device ML integration 🔹 Edge deployment pipelines — quantized, optimized models running on CPU at scale in production If a model needs to run on a bank's on-premise server, a mobile device, or an edge node with no GPU — I have already done it. ------------------------------ ✅ TECHNOLOGIES 🔹 Vision: YOLOv8/v9, DeepLabV3+, Segformer, ViT, Swin Transformer, OpenCV, MediaPipe 🔹 LLMs & NLP: Llama 3.x, GPT-4, BERT, HuggingFace Transformers, LangChain, PEFT (LoRA/QLoRA) 🔹 ML Frameworks: PyTorch, TensorFlow, Keras, MMDetection, MMSegmentation 🔹 Backend: Python, Golang, FastAPI, REST APIs, concurrent systems 🔹 Mobile: Kotlin, Android, Jetpack Compose, on-device ML 🔹 Deployment: Docker, edge deployment, CPU inference, Streamlit, Colab 🔹 Data & Infra: NumPy, Pandas, Scikit-learn, Matplotlib ------------------------------ 🎙️LET'S TALK If you are building an AI solution that is scalable to a wider audience, I can add serious value to the end product. Feel free to drop a message