I help you leverage AI to solve your business challenges and achieve measurable results. With 5+ years of experience in NLP, Generative AI, Computer Vision, NLU, NLG and large language models, I create AI solutions that are scalable, efficient and tailored to your needs. I have a strong grip on AI models and voice AI technologies and know how to apply them effectively to deliver real value for your business. 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗳𝗼𝗿 𝗬𝗼𝘂: - 𝗔𝗜 & 𝗡𝗟𝗣 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: Build chatbots, perform sentiment analysis and predictive analytics to improve customer engagement - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: Generate content, create text-to-image models and automate workflows to save time and costs - 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Implement image recognition, object detection and video analytics to enhance your operations - 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: Speech-to-Text (STT), Text-to-Speech (TTS), Text-to-Text (TTT), voice assistants and conversational AI - 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜: Predictive analytics, diagnostic assistance, patient monitoring and personalized treatment solutions - 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Connect secure APIs, cloud solutions and real-time data processing to streamline your systems - 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Improve performance, reduce costs and scale AI solutions efficiently I’ve helped clients like ScanPlan B.V., BimBuildings, Wellness Tech, Know-Me and OpenHome, engaging 65,000+ users on OpenHome and delivering projects that enhance user experiences, increase efficiency and reduce operational costs. My expertise spans 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗣𝘆𝗧𝗼𝗿𝗰𝗵, 𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄, 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗗𝗷𝗮𝗻𝗴𝗼, 𝗡𝗼𝗱𝗲, 𝗥𝗲𝗮𝗰𝘁, 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲 𝗮𝗻𝗱 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀. If you want AI and Voice AI solutions, including Healthcare AI, that solve your toughest problems and grow your business, I’m ready to help you turn your ideas into reality.

𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 while I handle everything related to AI and software development. Have a great idea for an AI agent or assistant but 𝒅𝒐𝒏'𝒕 𝒌𝒏𝒐𝒘 𝒘𝒉𝒆𝒓𝒆 𝒕𝒐 𝒔𝒕𝒂𝒓𝒕? Just send me a DM and we will arrange 𝐚 𝐟𝐫𝐞𝐞 𝟒𝟎-𝐦𝐢𝐧 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 📞 where I will do my best to answer all your questions. [Updated: June 16, 2026] I helped a wide range of customers - from small startups to enterprises - build human-like AI agents, LLM assistants, NLP projects, RAG systems, AI Knowledge Bases, AI MVP and AI chatbots. Here are some examples: · AI assistant with RAG functionality for a leading telehealth company; · LLM-based call analysis and assessment using over 40 parameters; · LLM agent to extract information from medical records; · AI agent for a real estate sales team; · Health AI assistant for nurses; · RAG software for financial and investment analysts that processes documents in various formats; · AI real-time voice avatars for US medical students. I can help you build an advanced RAG system with your own data. Moreover, I can help you integrate AI / LLMs / ML in your business strategy, products and roadmap. "Simple put, one of the best engineers we've ever worked with" ⭐️⭐️⭐️⭐️⭐️ - Boaz, Head of RnD @ HoneyBook 𝐋𝐋𝐌𝐬: OpenAI (GPT 3.5, GPT 4, Whisper AI), Anthropic (Claude 3.5 Sonnet), DeepSeek and open-source models (Mistral, Llama 3). 𝐀𝐈 𝐬𝐤𝐢𝐥𝐥𝐬: OpenClaw, LlamaIndex, Langchain, Prompt Engineering, Vector store databases (Pinecone, Qdrant, Chroma DB), agents (AutoGPT, Autogen), chatbots, assistants, knowledge bases. 𝐃𝐞𝐩𝐥𝐨𝐲: Azure Cloud Services, Docker, AWS, Web apps, Chatbot platforms. 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: - React & Next.js / Angular frontend architecture - Python (FastAPI) backend development - Node.js, Express.js, Nest.js APIs - SQL Server, MySQL, PostgreSQL, MongoDB - Multi-tenant SaaS platforms - Stripe billing & subscription systems If you are looking for a reliable and skilled AI developer who can deliver high-quality results, message me. I would love to hear more about your project and discuss how I can help you achieve 𝐲𝐨𝐮𝐫 𝐠𝐨𝐚𝐥𝐬.

I'm a Python backend engineer who builds and ships production-grade systems, with a specialization in deploying Machine Learning, Computer Vision, and LLM/AI models into real, scalable applications for healthcare and insurance companies. With 5+ years of experience, I design backend architectures and APIs that take AI/ML models from research notebooks to reliable production systems used by real users, with a strong focus on healthcare and insurance use cases: Backend & API development: FastAPI, Flask, scalable REST APIs, microservices, cloud deployment (AWS, Docker) ML/AI production pipelines: model serving, quantization, inference optimization, CUDA-accelerated deployment Computer Vision systems: object detection, segmentation, classification, medical image analysis, video analytics LLM/VLM & Agentic AI backends: RAG pipelines, multimodal AI, AI chatbots, intelligent assistants (LangChain, LangGraph, Hugging Face) Document AI & NLP: OCR, speech-to-text/text-to-speech, end-to-end automation pipelines Healthcare & insurance domain experience: medical imaging, cancer detection, insurance analytics, predictive modeling, maternal mortality risk, bio-age prediction Tech stack: Python, FastAPI, Flask, Docker, AWS, CUDA, PyTorch, TensorFlow, Scikit-learn, OpenCV, Hugging Face, LangChain, LangGraph, JavaScript/TypeScript, Node.js, Next.js, React.js, Electron, Tauri, PyQt If you need a backend that can actually carry AI/ML in production for healthcare or insurance, not just a model that works in a notebook, let's build it.

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 𝟳+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗰𝗹𝗲𝗮𝗻, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘄𝗲𝗯 𝗮𝗻𝗱 𝗺𝗼𝗯𝗶𝗹𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗵𝗲𝗹𝗽 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗴𝗿𝗼𝘄 ,𝗳𝗿𝗼𝗺 𝗲𝗮𝗿𝗹𝘆-𝘀𝘁𝗮𝗴𝗲 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝘁𝗼 𝗲𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀. You've spent months building a SaaS ,but without AI, you're already behind the apps launched last week. I integrate LLMs, RAG, and GPT into your web or mobile product in 1-week , turning it into something your competitors can't copy fast enough. If it doesn't perform as scoped, I rebuild it free. No risk. Just results. WHO THIS IS FOR If you're a founder, CTO, or product owner who wants to: → Add AI features (chatbots, smart search, auto-responses, predictions) to an existing SaaS → Build a new AI-powered web or mobile app from scratch → Integrate GPT-4, Claude, LLaMA, or any LLM into your product → Replace manual workflows with autonomous AI agents → Launch an AI SaaS product that users pay for , and never cancel Then you're in the right place. THE PROBLEM WITH MOST AI DEVELOPERS Most developers treat AI as a plugin. They connect an API, wrap it in a button, and call it "AI-powered." Your users aren't fooled. And your retention numbers show it. Real AI integration means: → Understanding your users' workflows deeply → Building LLM pipelines that are fast, accurate, and cost-efficient → Designing RAG systems so your app answers with YOUR data — not hallucinations → Shipping features that make users think: "How did I ever use this without AI?" That's what I build. WHAT I DELIVER ▸ AI-Powered SaaS Products Custom SaaS platforms with LLM features baked in from day one , smart dashboards, AI copilots, automated workflows, and GPT-powered user experiences that drive retention and reduce churn. ▸ LLM Integration into Existing Apps Already have a web or mobile app? I add intelligence to it , GPT-4, Claude, Mistral, or open-source LLMs wired into your existing codebase without breaking what already works. ▸ RAG Pipelines & Knowledge Bases I build Retrieval-Augmented Generation systems so your app answers questions using YOUR documents, databases, and data , not generic AI guesswork. Fast, accurate, hallucination-resistant. ▸ AI Chatbots & Autonomous Agents Custom ChatGPT-style assistants and AI agents that don't just answer , they act. Book appointments, generate reports, search databases, trigger workflows , all automatically. ▸ Voice AI & Multimodal Apps Multilingual voice interfaces, speech-to-text pipelines, and multimodal AI apps (text + image + voice) for global products and enterprise customer support systems. ▸ Full-Stack AI Web & Mobile Development End-to-end: from UI/UX design to backend architecture to cloud deployment. React, Next.js, FastAPI, Node.js ,whatever your stack, I build the full product, not just the AI layer. PROVEN RESULTS (Not Promises) → Fraud detection system: reduced client losses by 62% in 90 days → Demand forecasting model: cut e-commerce inventory costs by 30% → Anomaly detection in IoT sensors: prevented $2M+ in industrial downtime → Real-time surveillance AI: 99.5% accuracy for Fortune 500 security → Medical imaging AI: 95%+ sensitivity for skin cancer detection → 50+ AI products shipped across fintech, healthcare, e-commerce, and enterprise → Zero refunds. Zero failed productions. MY TECH STACK LLMs & AI: GPT-4, Claude, LLaMA-2, Mistral, Falcon, Cohere Frameworks: LangChain, LlamaIndex, HuggingFace, OpenCV, PyTorch, TensorFlow RAG & Vector DBs: Pinecone, FAISS, Weaviate, ElasticSearch, ChromaDB 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 THE OFFER (Why Hiring Me Is a No-Brainer) Here's what you get — and what you don't risk: ✔ Working prototype delivered in Week 1 — so you're testing results, not waiting on promises ✔ End-to-end ownership — I handle architecture, development, testing, and deployment ✔ Production-ready code — not "works on my machine" demos ✔ Free rebuild guarantee — if it doesn't meet the agreed scope after handoff, I fix it at no cost ✔ 50+ hours/week availability — full-time, flexible across time zones ✔ Plain-English communication — no jargon, no confusion, just clarity Your competitors are already integrating AI. Every week you wait is a week they pull further ahead. HOW WE START Simple. No long discovery calls. No complicated onboarding. Message me with what your app does (or what you want to build) I'll tell you in 24 hours exactly which AI features will have the biggest impact We scope it, agree on milestones, and I start Week 1 One conversation. That's all it takes to see how close you already are. LET'S TALK Message me now. I respond within minutes !. Najeeb ullah | AI Engineer | LLM & SaaS Developer | Top Rated | 50+ Products Shipped

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama Core Expertise & Technical Strengths 🦾 Early adopter of Prompt-Driven Development (PDD), designing AI systems where prompts become the primary specification and code acts as an implementation layer. 🦾 Deep experience working with leading LLM ecosystems including OpenAI GPT models, Claude Sonnet/Opus, Gemini, Mistral, Llama, Hugging Face, Together AI, Ollama, LM Studio, Groq, Cursor, Windsurf, Codex, and Claude Code. 🦾 Proven ability to bring AI solutions from concept to production using frameworks and tools such as DSPy, TextGrad, LangChain, LlamaIndex, LangSmith, LangServe, MemGPT, Kor, Zapier, and modern AI coding environments. 🦾 Strong optimization background with fine-tuning and model acceleration techniques using QLoRA, DeepSpeed, Unsloth, quantization methods, Transformer architectures, and distributed GPU infrastructure to improve performance while reducing costs. 🦾 Extensive experience building agentic systems with technologies including MCP, OpenAI Agents SDK, CrewAI, AutoGen, LangGraph, Google ADK, Open Interpreter, MultiOn, and computer-use frameworks. 🦾 Skilled in computer vision and generative media development using OpenCV, Stable Diffusion, Midjourney, Runway, Pika, and other image/video generation platforms. 🦾 Developed real-time voice applications with speech recognition and synthesis using Whisper, ElevenLabs, Twilio, Bland AI, and related conversational AI technologies. 🦾 Strong machine learning foundation with TensorFlow, PyTorch, Keras, scikit-learn, and development expertise in Python, JavaScript, C++, and Mojo. 🦾 Specialized knowledge in quantitative finance, algorithmic trading, cryptocurrencies, DeFi ecosystems, NFTs, Solidity, and forecasting technologies such as Prophet, TimeGPT, PatchTST, and AutoTS. 🦾 Full-stack engineering experience across React, Angular, Vue.js, Django, Flask, FastAPI, Node.js, and modern AI-assisted development platforms. 🦾 Cloud and infrastructure expertise spanning AWS, Google Cloud, Azure, and DigitalOcean. 🦾 Hands-on experience with MLOps workflows using MLflow, Weights & Biases, Neptune, BentoML, Docker, and scalable data systems including Pinecone, Weaviate, FAISS, Neo4j, MongoDB, PostgreSQL, MySQL, BigQuery, and SQL Server. 🦾 Experience supporting fundraising activities, investor outreach, pitch preparation, due diligence processes, and deal execution. 🦾 Product leadership capabilities covering the entire lifecycle—from ideation and strategy to launch, iteration, and retirement—while leveraging AI to streamline complex business operations. 🦾 Leadership experience in recruiting, team building, agile delivery, performance management, and coordinating large-scale teams across multiple functions. 🔹 Why Businesses Partner With Me → End-to-end ownership of projects, from system design and development through deployment and ongoing support. → Focus on production-ready solutions that are scalable, maintainable, and built for long-term growth rather than short-lived prototypes. → Transparent communication with regular progress updates, proper documentation, and predictable delivery. → Experience building enterprise-grade applications that meet strict performance, security, and compliance requirements. → Ability to scale execution through team leadership and collaboration, ensuring larger projects can be delivered efficiently. 🔹 Areas Where I Add Value → Designing and developing AI agents and advanced multi-agent ecosystems. → Building, fine-tuning, and deploying machine learning models for real-world applications. → Integrating OpenAI and other LLM APIs into existing or new products. → Creating and connecting RESTful APIs for seamless system communication. → Automating repetitive business processes and workflows using 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Thanks, Ashima Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face

Your AI agent either runs in production at 3am or it's a demo. Mine runs, live today for a 5,000-employee US enterprise. 🏆 𝗘𝘅𝗽𝗲𝗿𝘁-𝗩𝗲𝘁𝘁𝗲𝗱 on Upwork, top 𝟭% of all freelancers platform-wide 📊 $𝟭𝟬𝟬𝗞+ earned across 𝟮𝟭 AI agent, RAG, and LLM engagements, 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀, 𝟭𝟬𝟬% JSS 🎯 𝟭,𝟭𝟱𝟮+ hours on AI agent, RAG chatbot, and LLM fine-tuning contracts ⚡ Founder of Super Cat Technology, an AI agent engineering team in 𝗛𝗼𝗻𝗴 𝗞𝗼𝗻𝗴 and 𝗟𝗼𝗻𝗱𝗼𝗻 💼 AI voice agent live in production at a US enterprise, plus enterprise RAG inside a 𝗕𝗶𝗴 𝟰 accounting firm ⭐⭐⭐⭐⭐ "Very highly recommend working with Cat. The quality of work, going the extra mile and idea or assistance given were truly outstanding. We will continue to work with Cat on many projects." (ML Advisor and CTO Roadmap client, 2025 Upwork engagement) I build AI agent systems for production, not pilot demos. I'm Cat, Founder and Fractional CTO at Super Cat Technology. Over a decade in production AI, NLP, and machine learning. For the last three years my focus has been AI voice agent and enterprise RAG deployments running 24/7 with evaluations, observability, and domain-specific LLM fine-tuning under the hood. As an AI agent engineer, my job is to close the gap between a working prototype and a system your ops team can trust at 2am. 🔶 𝗕𝗶𝗴 𝟰 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝗳𝗶𝗿𝗺: enterprise RAG chatbot for junior auditors, multimodal RAG with OCR over compliance whitepapers and audit guidelines 🔶 𝗨𝗦 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲, 𝟱,𝟬𝟬𝟬+ 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀: 24/7 AI voice agent CSR call center with telephony, appointment booking, and AI agent tool-calling 🔶 𝗙𝗮𝗺𝗶𝗹𝘆 𝗼𝗳𝗳𝗶𝗰𝗲 𝗰𝗹𝗶𝗲𝗻𝘁: fine-tuned LLM with RAG over financial research, macro data, and portfolio holdings for an AI agent investment workflow 🔶 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗯𝘂𝗶𝗹𝗱 ($𝟯𝟳𝗞, 𝟮𝟰𝟳 𝗵𝗿𝘀): AI voice agent for a commercial voice product, 5-star feedback 🔶 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝘁𝗲𝗰𝗵 𝗦𝗮𝗮𝗦: AI agent NL query layer for natural-language property search 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗢 ✅ AI Voice Agent Development on LiveKit and similar stacks, with telephony, tool-calling, and 24/7 reliability for enterprise CSR, sales, and internal ops ✅ Enterprise RAG Chatbot Engineering: multimodal RAG pipelines over compliance libraries and internal knowledge bases, with OCR and table-parsing for semi-structured docs ✅ LLM Fine-Tuning on open-source models (Llama, Qwen 2.5, Phi, Deepseek, LLaVA) to ground AI agent behavior in domain-specific language and data ✅ AI Agent Architecture on LangGraph, LangChain, AutoGen, CrewAI, and SmolAgents, plus MCP servers connecting AI agent workflows to live business systems ✅ GraphRAG and LightRAG on Neo4J for structured-knowledge AI agent use cases where vector search alone is not enough ✅ Multimodal AI, VLM, and Enterprise OCR (CLIP, LLaVA, PaddleOCR, YOLO) feeding AI agent document understanding ✅ Fractional CTO and Technical Advisory: AI agent roadmap, architecture review, and team build to turn an AI agent prototype into production revenue 𝗪𝗛𝗢 𝗜 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 🎯 Enterprise teams building AI voice agent and AI agent systems for customer service, sales, and internal ops, not one-off assistant pilots 🎯 Financial services, family offices, Web3, supply chain, and medical or regulatory-heavy organizations with real data and real AI agent stakes 🎯 Funded startups ready to move an AI agent MVP into production, not idea-stage brainstorming 🎯 Clients on time-and-materials or monthly retainer engagements who value senior AI agent engineering judgment over the lowest hourly bid 𝗠𝗬 𝗣𝗥𝗢𝗖𝗘𝗦𝗦 1️⃣ Discovery: walk through your AI voice agent or RAG use case, current stack, data realities, and what AI agent production actually needs to look like 2️⃣ Architecture proposal: AI agent flow, tool boundaries, fallback behavior, evaluation plan, and a realistic scope estimate, delivered within a week 3️⃣ Build and ship: production-grade AI agent system with evaluations, regression tests, and LLMOps tooling, not a demo that falls over on real traffic 4️⃣ Handoff or stay: train your team, or stay on as Fractional CTO while the AI agent matures in the wild Send me a message or invite me to your AI voice agent, enterprise RAG, or AI agent project. I respond within a few hours, 7 days a week, across US, UK, and EU time zones.

𝐀𝐈 Automation Expert | 𝐋𝐋𝐌𝐬, 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝟏𝟎𝟎+ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 Machine Learning 𝐌𝐨𝐝𝐞𝐥𝐬 🚀 I architect and deploy production-grade AI systems that solve complex business problems, whether they involve pixels, text, or autonomous actions. With over 8 years of dedicated experience, I have successfully deployed more than 100 machine learning models into production. My expertise spans the full AI spectrum—from extracting critical insights from visual data with Computer Vision to building intelligent language systems with LLMs and autonomous AI Agents. My work has been instrumental in helping startups build their core technology, directly contributing to securing over $1 Million in seed funding (e.g., Colossyan, Proofminder, SmartEnds, NetraAI, MTailor, PreceptionAG). I manage the entire AI lifecycle, from data strategy and model fine-tuning to scalable deployment on both cloud and edge devices. Whether you need a cutting-edge Generative AI solution, an intelligent agent to automate workflows, or a high-performance computer vision system, I deliver robust, scalable, and commercially viable results. 🔹 𝐌𝐲 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 🔹 𝗟𝗟𝗠 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: • 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: Designing and building goal-oriented agents and complex workflows using LangChain and LlamaIndex. • 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚): Developing advanced Q&A systems over private documents and data. • 𝗖𝘂𝘀𝘁𝗼𝗺 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗡𝗟𝗣: Building and deploying intelligent conversational AI for various business applications. • 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Fine-tuning open-source LLMs and integrating with APIs from OpenAI (GPT-4), Anthropic, and Google. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: • 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: High-accuracy systems for agriculture, waste management, and traffic analytics (YOLO, MMDetection). • 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 (𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 & 𝗜𝗻𝘀𝘁𝗮𝗻𝗰𝗲): Precise pixel-level classification for detailed scene understanding. • 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗩𝗶𝘀𝗶𝗼𝗻 (𝗔𝗜 𝗔𝘃𝗮𝘁𝗮𝗿𝘀 & 𝗟𝗶𝗽-𝗦𝘆𝗻𝗰): Building and productionizing realistic video avatar systems. • 𝗗𝗲𝗽𝘁𝗵 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 & 𝟯𝗗 𝗥𝗲𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻: Applications in fill-level estimation and synthetic data generation. 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗠𝗟 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 (𝗠𝗟𝗢𝗽𝘀): • 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: Annotation pipelines (CVAT), synthetic data generation, and vector database management (Pinecone, FAISS). • 𝗠𝗼𝗱𝗲𝗹 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Quantization (FP16/INT8), pruning, and optimization for performance. • 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Cloud (AWS Lambda, Serverless) and high-performance Edge AI (NVIDIA Jetson, TensorRT). 🔹 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝 & 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 🔹 • 𝗥𝗔𝗚-𝗯𝗮𝘀𝗲𝗱 𝗛𝗼𝘀𝗽𝗶𝘁𝗮𝗹 𝗥𝗲𝘃𝗶𝗲𝘄 𝗦𝘆𝘀𝘁𝗲𝗺: Developed a RAG system to analyze thousands of patient reviews, extracting actionable insights to improve hospital services. • 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗮 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗖𝗼𝗺𝗽𝗮𝗻𝘆: Engineered an autonomous agent to automate internal knowledge retrieval and business workflows, boosting team productivity. • 𝗣𝗿𝗼𝗼𝗳𝗺𝗶𝗻𝗱𝗲𝗿 (𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲): Architected over 300 ML models for crop monitoring & counting, currently running in production across millions of acres. See the system overview • 𝗦𝗺𝗮𝗿𝘁𝗘𝗻𝗱𝘀 (𝗪𝗮𝘀𝘁𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁): Deployed a proprietary vision-based fill-level detection technology using optimized edge models. • 𝗖𝗼𝗹𝗼𝘀𝘀𝘆𝗮𝗻 / 𝗦𝗽𝗲𝗮𝗸𝗼𝗹𝗼𝗴𝘆𝗔𝗜 (𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜): Built the core AI Avatar MVP that led to a $1M+ funding round and engineered end-to-end systems for live-streaming. 🔹 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤 🔹 𝗔𝗜 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: LangChain, LlamaIndex, PyTorch, TensorFlow, Hugging Face, Keras, Scikit-Learn, OpenCV, MMSeries. 𝗠𝗼𝗱𝗲𝗹𝘀 & 𝗔𝗣𝗜𝘀: OpenAI (GPT-4), Anthropic (Claude), Gemini, Open-Source LLMs (Llama, Mistral). 𝗠𝗟𝗢𝗽𝘀 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: TensorRT, OpenVINO, ONNX, Docker, AWS (Sagemaker, Lambda), GCP, ClearML. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗗𝗮𝘁𝗮 𝗧𝗼𝗼𝗹𝘀: Pinecone, FAISS, Weaviate, CVAT, Roboflow, Numpy, Pandas. You're not just hiring a developer; you're partnering with a full-stack AI expert who understands how to translate cutting-edge technology into tangible business value. Let's discuss how we can build your next-generation AI solution.

I build machine learning, computer vision, and data science systems that are meant to be tested, improved, and used. Most of my work is in computer vision, deep learning, medical imaging, image classification, object detection, segmentation, model evaluation, and applied ML workflows. On Upwork, I have completed projects in machine vision, X-ray model development, padel analytics, sign language translation, facial image classification, and health data analysis, with 100% Job Success and 5-star client feedback. I can help with: - Computer vision models for detection, segmentation, classification, OCR, and visual inspection - Deep learning with PyTorch, TensorFlow, YOLO, CNNs, Transformers, and OpenCV - Medical imaging and healthcare ML prototypes - Sports and video analytics pipelines - Data cleaning, EDA, feature engineering, model training, and evaluation - Model debugging, threshold tuning, error analysis, and performance reporting - FastAPI, Streamlit, and dashboard apps for ML workflows - AI automation and LLM workflows when they support a real technical system I care about the parts that usually decide whether an ML project succeeds: clean datasets, reproducible experiments, useful evaluation, readable reports, and applications that are easy to test. If you need help with a computer vision, deep learning, or applied ML project, send me the details. I will tell you what approach makes sense, what can be built, and what risks to watch before development starts.

🏆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗧𝗮𝗹𝗲𝗻𝘁 | Senior Full-Stack AI & Data Engineer ✅ A 100% refund if I set the wrong expectation and can’t deliver. No questions asked. ⸻ 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗦𝘂𝗺𝗺𝗮𝗿𝘆 I am an AI Lead and Senior Full-Stack Engineer with over 5 years of experience architecting, scaling, and deploying production-grade AI systems. I specialize in taking complex machine learning models out of testing environments and integrating them securely into active business operations. Whether you need a heavy-duty backend data pipeline, an autonomous multi-agent network, or a polished Next.js frontend to allow users to interact with your AI, I build deterministic, end-to-end systems that scale. ⸻ ⭐ 𝗪𝗵𝗮𝘁 𝗠𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆: "He doesn’t just build models—he solves problems with clarity, speed, and real impact." "Ahmed understands data like a second language—every engagement delivers actionable insight." ⸻ 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: I don't just deliver a disconnected Python script. I build the robust serverless backends (FastAPI) and the responsive frontends (React/Next.js) required to deploy a complete SaaS product. 🔹 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: I specialize in zero-leakage, highly secure ML and RAG architectures trusted by top-tier global consulting firms and national government bodies. 🔹 𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗔𝗜 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: I enforce strict data schemas to ensure LLMs output exact, usable data (JSON) rather than hallucinated responses. 🔹 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 & 𝗙𝗮𝘀𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: As an independent technical lead, I offer crystal-clear communication, direct feedback loops, and strict adherence to deadlines. ⸻ 𝗖𝗼𝗿𝗲 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝟭. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React (4+ years), Next.js, TypeScript, Tailwind CSS. • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Seamlessly connecting complex Python/FastAPI AI backends to modern web interfaces. • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: PostgreSQL, Vector Databases (Pinecone, Qdrant), Graph Databases. 𝟮. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Building autonomous, task-driven AI networks with LangGraph, LangChain, and CrewAI. • 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Advanced custom deployments using n8n, Apify, and Webhooks for high-volume data ingestion. 𝟯. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗡𝗟𝗣 • 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗠𝗟: PyTorch, XGBoost, Random Forest, Transformers (BERT, RoBERTa, GPT). • 𝗡𝗟𝗣 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Enterprise RAG, Text Classification, Named Entity Recognition (NER), Sentiment Analysis. • 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Statistical analysis, data wrangling (pandas, NumPy), and rigorous A/B testing. 𝟰. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗠𝗟𝗢𝗽𝘀 • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Microsoft Azure, AWS, Google Cloud. • 𝗗𝗲𝘃𝗢𝗽𝘀: Dockerized environments, CI/CD pipelines, robust job retries. • 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: High-performance REST APIs with FastAPI. ⸻ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜: Designed and deployed zero-leakage RAG pipelines and custom AI deployments for multi-billion-dollar organizations and major national government sectors. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: Architected stateful backend networks for enterprise AI platforms where autonomous agents securely query databases and reason through complex constraints. • 𝗛𝗶𝗴𝗵-𝗩𝗼𝗹𝘂𝗺𝗲 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Engineered heavy-duty LLM data pipelines for high-volume SaaS applications that force the extraction of 38+ precise data points from unstructured text with zero hallucinations. ⸻ 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗦𝗲𝗿𝘃𝗲 Finance & Legal | Healthcare & Life Sciences | E-commerce & Marketplaces | Real Estate & Property Management | EdTech | B2B SaaS Startups ⸻ 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗡𝗲𝘅𝘁 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 If you are looking for an engineer who thinks in system architecture rather than just running prompts, let's connect. 📩 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝗮 𝗯𝗿𝗶𝗲𝗳 𝗼𝘃𝗲𝗿𝘃𝗶𝗲𝘄 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸, 𝗮𝗻𝗱 𝗜 𝘄𝗶𝗹𝗹 𝘄𝗮𝗹𝗸 𝘆𝗼𝘂 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗵𝗼𝘄 𝗜 𝘄𝗼𝘂𝗹𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝘁𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻.