AI Engineer | Claude Code | Anthropic API | LangGraph | CrewAI | AutoGen | MCP Servers | Multi-Agent Systems | Full-Stack AI Applications Most teams have figured out that a chatbot can answer a question, but the real work in a business is never a single question. It is a chain of steps: pulling data from one system, deciding what to do with it, taking an action in another tool, and following up. A plain chatbot cannot do any of that. It just talks. I build AI agents that actually do the work,systems that reason through a task, call the right tools, and carry it from start to finish without a human stepping in at every stage. I am an AI Engineer who builds agentic systems and the applications around them. My focus is Claude Code, the Anthropic API, and multi-agent architectures using frameworks like LangGraph, CrewAI, and AutoGen, along with MCP servers that connect a model to real tools, data, and context. This is the difference between a demo that answers prompts and a system that can take an instruction, break it into steps, and execute each one against your real tools and data. Here is the kind of work I deliver: - Build autonomous agents that handle multi-step workflows, where the model decides what to do next instead of following a rigid script. - Build MCP servers that give a model secure, structured access to your databases, APIs, and internal tools, so it can act on real information rather than guess. - Build multi-agent systems where specialized agents hand work off to each other, one researching, one drafting, one verifying, to handle tasks too complex for a single prompt. - Build full-stack AI applications with clean backends, robust API integrations, and user-friendly frontends, because an agent is only useful when it is part of a real product. Few examples of what this looks like in practice: Project 1: An AI meeting agent that captured, summarized, and acted on meeting content. Project 2: A full-stack Claude integration with a clean frontend and backend, where AI functionality was engineered into the core of the product. Project 3: An MCP server or multi-agent workflow that connected a model to real tools and executed multi-step tasks. What makes agentic work different? An agentic system is taking actions on its own, so it has to be built carefully. I design agents with proper guardrails, clear tool boundaries, error handling, and fallback mechanisms for when a step fails. This keeps the system reliable and predictable instead of going off the rails the moment something unexpected happens. I treat these as production systems, with documentation, testing, deployment support, and post-handover assistance. Let's build something useful If you want to move past a chatbot that only talks and build an AI system that can genuinely take action and complete real work, send me a message. Tell me the task you want handled end-to-end, and we will design the agent that does it. Tufail

𝐏𝐲𝐭𝐡𝐨𝐧 • 𝐃𝐣𝐚𝐧𝐠𝐨 • 𝐅𝐥𝐚𝐬𝐤 • 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 • 𝐑𝐞𝐚𝐜𝐭.𝐉𝐒 • 𝐀𝐧𝐠𝐮𝐥𝐚𝐫.𝐉𝐒 • 𝐍𝐞𝐱𝐭.𝐉𝐒 • 𝐍𝐨𝐝𝐞.𝐣𝐬 • 𝐕𝐮𝐞.𝐉𝐒 • 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 • 𝐂𝐡𝐫𝐨𝐦𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧𝐬 • 𝐒𝐞𝐜𝐮𝐫𝐞 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞:- I am a problem-solver at heart and a builder by trade, blending the worlds of AI, machine learning, and full-stack web development to craft next-gen digital experiences. With a foundation rooted in Python and a passion for scalable intelligence, I architect solutions that aren't just smart, they’re transformative. From building AI models that see, understand, and predict, to launching full-stack platforms that integrate those models in real-time, I thrive at the intersection of code, creativity, and cutting-edge tech. Whether you need a smart Chrome extension, an AI-powered SaaS platform, or a custom deep learning pipeline, I bring the tools, mindset, and execution to get it done. 𝐂𝐨𝐫𝐞 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐭𝐢𝐞𝐬 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 Custom Model Development: Deep learning and ML using TensorFlow, PyTorch, Hugging Face Computer Vision: Real-time image & video processing, object detection, frame-rate optimization Smart Data Pipelines: Automated data collection, annotation, pre-processing, and feature extraction 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Frontend: React, Angular, Vue, Tailwind, Bootstrap, TypeScript, Redux Backend: Python, Django, FastAPI, Flask, Node.js, Laravel, Symfony Databases: PostgreSQL, MongoDB, MySQL API Integration: Secure RESTful APIs, real-time sync, token-based auth 𝐂𝐡𝐫𝐨𝐦𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠:- Custom extensions (Manifest V2/V3) using JS or modern frameworks In-browser AI tools, automation, data scraping, UI enhancements 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Cloud: AWS, Heroku, Vercel, Netlify, Azure CI/CD: Docker, Jenkins, GitHub Actions, Nginx Version Control: Git, Bitbucket, SVN 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐖𝐢𝐧𝐬 Built computer vision AI that analyzed live video feeds across multiple industries Launched full-stack platforms with real-time AI inference on the front-end Developed automation systems that reduced manual work by 60% Engineered Chrome extensions with built-in AI — boosting productivity and scraping efficiency 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭 AI Meets UX: I bridge the gap between back-end intelligence and intuitive front-end design — bringing ML predictions to the browser in real-time. Builder’s Mentality: I don't just ship code. I craft solutions that are scalable, user-focused, and business-ready. Security-Driven: From encrypted user flows to secure APIs — data integrity is always top of mind. 𝐓𝐨𝐨𝐥𝐬 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐀𝐈/𝐌𝐋: TensorFlow, PyTorch, Hugging Face, Scikit-learn, OpenCV, Pandas, NumPy, OpenAI 𝐃𝐞𝐯𝐎𝐩𝐬: Docker, Nginx, Jenkins, Heroku 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐓𝐨𝐨𝐥𝐬: Asana, Trello, OpenProject, Jira 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬: Linux, macOS, Windows 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 I am always excited to collaborate on projects that push the boundaries of what AI and software can do, whether you're building a smart SaaS tool, automating workflows, or launching a product from scratch. 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐢𝐟 𝐲𝐨𝐮’𝐫𝐞 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐨𝐧: AI-powered web applications Custom ML model development and deployment AI Chatbot, Agent and Trading Solution building Chrome extension development Data-driven dashboards and analytics Intelligent automation systems Together, we can turn innovative ideas into intelligent, high-impact products.

I build AI automations and RAG chatbots that actually work in production — not just demos. Currently working with Adaptify (Norway) building full-stack AI systems for international clients, including RAG chatbots, n8n automation pipelines, and LLM-powered tools — deployed on real infrastructure (Supabase, Vercel, FastAPI). What I build for clients: — RAG chatbots that answer from your documents, PDFs, or knowledge base with no hallucinations — n8n automation workflows that connect your tools, reduce manual work, and run reliably 24/7 — AI agents for customer support, lead qualification, and internal operations — Social media automation: AI-generated posts, images, and automated DM replies — LLM fine-tuning on your domain-specific data (medical, legal, technical) My production stack: LangChain · OpenAI / LLaMA · n8n · Pinecone · Supabase · FastAPI · React · Vercel I don't vibe-code solutions. I architect systems with proper error handling, fallback logic, and deployment that doesn't break after handoff. If you've been burned by a freelancer who delivered a demo but not a working product — let's talk.

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.

With 5+ years of experience and 150+ successful projects, I help businesses build high-performance Computer Vision and AI Agent systems that work in production — not just in theory. 🚀 What I Build ✔ AI Agents & Automation Pipelines (OpenClaw, LangChain, CrewAI, AutoGen) ✔ Semantic Search & RAG Systems using vector databases (FAISS, pgvector, OpenSearch) ✔ Personal AI Assistants with persistent memory & full system access ✔ Object Detection & Multi-Object Tracking (YOLO26, YOLOv12, YOLO11, YOLOv8, DeepSORT, ByteTrack, BOT-SORT) ✔ Real-Time Video Analytics & Surveillance Systems ✔ Face Recognition & Liveness Detection ✔ Image Segmentation (U-Net, DeepLabV3+, Semantic & Instance) ✔ OCR & Document AI (Tesseract, Google Document AI, PaddleOCR) ✔ Industrial Defect Detection & Quality Control ✔ Medical Image Analysis ✔ Traffic & Vehicle Detection Systems ✔ Retail Analytics & Customer Behavior Tracking ✔ Edge AI Deployment (Jetson, TensorRT, CUDA, Docker, AWS) ✔ Model Optimization (FPS, latency, memory efficiency) ⚡ What I Deliver ✔ End-to-end AI systems (data pipelines → model serving → deployment → monitoring) ✔ LLM and AI agent architectures (RAG, tool use, function calling, multi-agent workflows) ✔ Semantic search and vector database solutions (OpenSearch, FAISS, pgvector) ✔ Real-time computer vision systems (detection, classification, tracking, segmentation) ✔ Custom YOLO model training on your own dataset (YOLOv8, YOLO11, YOLO26) ✔ Multi-camera surveillance & smart monitoring systems ✔ Video analytics pipelines with real-time alerting & reporting ✔ Scalable AI infrastructure on AWS (SageMaker, EKS, Lambda, EC2) ✔ Production-grade APIs and backend services ✔ Optimization of existing AI systems (lower latency, reduced cloud costs, improved reliability) 🧠 Core Expertise Computer Vision · AI Agents · OpenClaw · Deep Learning · Machine Learning · Object Detection · Multi-Object Tracking · Image Segmentation · Real-Time AI · Video Analytics · OCR · Data Annotation · Edge AI · Generative AI · LLM Integration · RAG Systems 🛠 Tech Stack AI & Vision: PyTorch · TensorFlow · Keras · OpenCV · MediaPipe · YOLO variants · Faster R-CNN · Vision Transformers AI Agents: OpenClaw · LangChain · CrewAI · AutoGen · RAG · LLMs · GPT-4 · Gemini Tracking & Optimization: DeepSORT · ByteTrack · BOT-SORT · TensorRT · CUDA Backend & Deployment: FastAPI · Flask · Docker · AWS · Jetson · REST APIs 🌍 Industries I Serve Retail · Security & Surveillance · Healthcare & Medical · Industrial & Manufacturing · Traffic Management · Smart Cities · Agriculture · Sports Analytics 💡 Why 150+ Clients Chose Me ✔ 100% Job Success Score — Top Rated on Upwork ✔ 5+ years delivering real-world AI systems ✔ Production-ready, scalable solutions ✔ Strong optimization — high FPS, low latency ✔ Clear communication & on-time delivery 📩 Let's Work Together Looking to build a Computer Vision system, AI Agent, Object Detection model, or Real-Time AI solution? 👉 Message me now — I'll help you design the best approach and deliver a scalable, production-ready solution fast.

AI Agent & LLM Engineer | RAG, LangChain, LangGraph, Multi-Agent Systems I build production AI agents, RAG systems, and full-stack AI apps that hold up outside a demo. Most of my work is LangChain/LangGraph agents, retrieval pipelines that don't hallucinate, and shipping the whole thing on AWS with a real frontend attached. 100% Job Success, 5.0 rating, and I'm available now. What I actually build: Autonomous and multi-agent systems with LangGraph and CrewAI — tool use, function calling, and workflows that run unattended in production, not just in a notebook. RAG and chatbots on Pinecone, Chroma, Weaviate, or Qdrant. I do hybrid search, reranking, and guardrails because retrieval quality is usually where these projects live or die. LLM engineering: fine-tuning open models (Llama, Mistral, Mixtral) with LoRA/QLoRA, plus integrations with OpenAI, Claude, and Gemini. I care about evals and cost, not just getting a response back. Full-stack AI SaaS end to end — FastAPI or Django backend, Next.js/React frontend, Postgres or Mongo, Stripe, auth, deployed on AWS or Vercel. I also do AI automation (n8n, Make, custom Python), computer vision with YOLOv8, and real-time voice (speech-to-text and speech-to-speech) when a project needs it. Recent example: [e.g. "Built a RAG support assistant that cut a client's average response time from 6 minutes to under 40 seconds across ~2,000 tickets/month."] — replace with one real result; this single line does more than any tool list. Stack: Python, LangChain, LangGraph, CrewAI, PyTorch, TensorFlow, YOLOv8 · FastAPI, Django, Flask, Node.js · Next.js, React, TypeScript, Tailwind · Pinecone, Chroma, Weaviate, Qdrant, Postgres, MongoDB, Redis · AWS, GCP, Docker, Vercel, n8n. Why clients keep me around: I ship fast, I tell you what's realistic before you've paid, I test before I hand anything over, and I don't vanish after the invoice clears. If you're building an AI product, automating a workflow, or need a full-stack system that works in the real world, send me the brief. I'll tell you honestly what's possible and how long it'll take.

With 4+ years of experience and 100+ successful projects, I help startups, enterprises, and researchers turn ideas into production-ready AI products that create measurable business impact. I specialize in building end-to-end AI solutions across Generative AI, multimodal LLMs, LangChain, RAG pipelines, Computer Vision, NLP, Speech AI, AI automation, and scalable SaaS development. From fine-tuning custom models to designing robust backend systems and deploying cloud-based applications, I deliver solutions that are practical, reliable, and built for real-world use. I develop: * RAG systems and enterprise search platforms * Custom AI chatbots and LLM-powered assistants * AI automation workflows and business process integrations * Document AI and OCR pipelines * Computer Vision and medical imaging applications * Speech-to-text, text-to-speech, and voice-enabled assistants * Generative image and video AI solutions * AI SaaS platforms, internal business tools, dashboards, marketplaces, MVPs, and API-driven products My work covers the full product lifecycle: AI strategy, architecture, model selection, prompt engineering, LoRA and fine-tuning, backend logic, API development, database optimization, automation, deployment, and long-term scalability. Alongside AI-first development, I also build complete software products using FastAPI, Flask, Node.js, Next.js, Supabase, Bubble io, Lovable AI, React, and modern cloud platforms such as AWS, GCP, and Azure. ⚙️ Tech Stack & Skills Programming: Python AI Frameworks: PyTorch, TensorFlow, Keras, LangChain LLMs & RAG: OpenAI GPT-4/GPT-5, LLaMA, Gemini, Claude, Mistral, semantic search with embeddings, keyword search with BM25, hybrid retrieval, RAG pipelines Generative AI: Stable Diffusion, DALL·E, LoRA, AUTOMATIC1111, DreamBooth, ComfyUI, Hugging Face models, GANs, CycleGAN, VAEs Computer Vision: Transformers, OpenCV, MediaPipe, OCR, CNNs, Autoencoders, YOLO 3D Data: Open3D, PyTorch3D, 3D U-Net, depth estimation, point cloud processing Machine Learning: Scikit-learn, XGBoost, classification, regression, clustering, traditional ML models NLP: spaCy, NLTK, Word2Vec, TF-IDF, LSTM, RNN, GRU Speech AI: Whisper, Coqui TTS, Google Cloud Speech, Azure Cognitive Services, Amazon Polly Databases & Vector Stores: PostgreSQL, MySQL, MongoDB, Pinecone, ChromaDB, FAISS, Supabase Backend Engineering & MLOps: FastAPI microservices, Flask APIs, OpenAPI specification and code generation, CI/CD with GitLab, Python packaging with UV and Poetry, ML data pipelines, MLOps best practices Deployment: Docker, AWS, GCP, Azure, MLflow, Runpod Frontend & Product Development: Streamlit, HTML/CSS, Webflow, Lovable AI, Bubble io, React Backend & Full-Stack: Flask, FastAPI, Node.js, Next.js, Supabase Mobile Apps: Flutter Automation & Workflows: n8n, Zapier, Make, Claude Code, OpenClaw, custom pipeline orchestration 🌟 Why Clients Hire Me ✅ 100+ successful projects and a 98% Upwork Job Success Score ✅ Strong expertise across AI, software engineering, automation, and cloud deployment ✅ Clean code, optimized models, rigorous testing, and on-time delivery ✅ Scalable, production-ready systems built for real business needs ✅ Strategic product thinking, not just technical implementation ✅ Clear communication, transparent workflows, and consistent progress updates I care deeply about communication, clean architecture, and long-term stability, not just making something “work.” I focus on building solutions that are maintainable, scalable, and aligned with business goals. Many of my clients return for additional projects because I stay involved, suggest better approaches when needed, and keep the development process simple, collaborative, and transparent. Whether you need an AI chatbot, RAG application, fine-tuned LLM, OCR pipeline, computer vision system, voice AI product, generative media workflow, no-code MVP, or a fully custom SaaS platform, I can help turn your idea into a robust, production-ready solution. Let’s connect and discuss how we can build an AI-driven product that delivers real value.

Is your AI system slow, unreliable, or breaking in production? You've likely built something that works in demos but fails at scale. I've spent 10+ years solving exactly this, first at Microsoft, then at Cambridge, and now for clients who need AI systems that actually work. I am an AI Engineer specializing in LLM integration, RAG pipelines, and multi-agent systems. Demonstrated expertise through key projects like developing a dynamic AI agent using LangChain for LLMs, building an AI platform querying multiple engines, and formal verification systems for AI reasoning. Proficient in Python, NLP, Machine Learning, and ML Security, ML Models, applying these skills to create robust, scalable AI solutions and clean backends for production-grade deployments. I am a PhD in Computer Science from the University of Cambridge and a former Microsoft engineer with 10+ years of experience building high-performance, secure, and reliable systems. 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼 𝗯𝗲𝘀𝘁: • High-performance C++ systems (compilers, runtime) • AI systems (LLMs, RAG, agentic workflows) designed for real-world deployment • ML performance optimization (Triton, CUDA, PyTorch, TVM) 3x–5x speedups • Formal verification & program analysis (model checking, SMT) • Secure and trustworthy AI systems (LLM reasoning, validation, safety) • Blockchain & smart contract analysis (Ethereum, storage-level reasoning) 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗵𝗼𝗼𝘀𝗲 𝗺𝗲: ① Cambridge PhD (Computer Science) + 10 years at Microsoft (security & systems) ② 5 US patents in security and cryptography ③ 100% Job Success Score on Upwork, every project delivered ④ Production-grade AI systems, not just prototypes that demo well ⑤ Deep expertise across correctness, performance, and system design 𝗥𝗲𝗰𝗲𝗻𝘁 𝗰𝗹𝗶𝗲𝗻𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: • Built an LLM agent over SQL with millions of records, delivered • Designed a formal verification pipeline for LLM reasoning using SMT solving, shipped in under a week • Optimized ML inference pipelines achieving 3x–5x throughput improvements • Built a RAG-based blockchain analysis system for smart contract vulnerability detection 𝗜𝗱𝗲𝗮𝗹 𝗰𝗹𝗶𝗲𝗻𝘁𝘀: • AI startups hitting scaling or reliability limits in production • Teams struggling with LLM output correctness or consistency • Web3 companies needing secure, formally verifiable systems • Engineers building serious backend or AI infrastructure If your system isn't performing the way you need it to, message me and let's fix it.

I build AI systems that turn data into decisions fast. Whether you’re trying to match the right candidate to the right job, detect products in real time, or launch a custom GPT-style assistant, I’ll help you go from concept to deployment with clean, reliable, production-ready AI. As a seasoned AI/ML engineer and consultant, I specialize in delivering full-stack machine learning solutions across NLP, LLMs, computer vision, time series forecasting, and anomaly detection - all optimized for real-world speed, scale, and security. I work with startups, founders, and enterprise teams to integrate AI deeply into their workflows, transforming raw data into value, and automation into advantage. 🔹 Core Capabilities • Vertex AI & MLOps Excellence Scalable training, tuning, deployment, and monitoring pipelines using Vertex AI, AutoML, and GCP-native tooling. Seamless integration with BigQuery, Cloud Functions, and artifact management via MLflow or Vertex AI Experiments. • Natural Language Processing (NLP) Building and fine-tuning powerful NLP systems: resume classifiers, document summarizers, sentiment engines, NER extractors, and custom GPT-like assistants using Transformers, Hugging Face, LangChain, and LLM fine-tuning frameworks (LoRA, QLoRA). • Computer Vision Developing high-performance visual systems for image classification, object detection (YOLOv5/v8), segmentation, and OCR using TensorFlow, PyTorch, and pre-trained vision transformers (e.g., SAM, CLIP). • Time Series Forecasting & Anomaly Detection Designing intelligent systems to predict, flag, and act on time-dependent patterns in finance, retail, supply chain, and operations using Prophet, ARIMA, LSTM, CNN-LSTM hybrids, and change-point detection algorithms. • Prompt Engineering & Generative AI Crafting strategic prompts and pipelines for GPT-4o, LLaMA 3, Claude, and open-source LLMs. Experienced in structured chaining, memory management, and tool-calling using LangChain, LangGraph, and LangServe. • Framework Mastery Fluent in TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenCV, FastAPI, Streamlit, and Docker. Whether building from scratch or scaling pre-trained models, I’m equipped to handle any task cleanly, efficiently, and with purpose. 🔹 Beyond the Code – Strategic Execution • I turn business goals into deployable AI systems, translating product vision, user needs, and messy data into models that work in the real world. • I collaborate across teams - bridging gaps between technical and non-technical stakeholders to ensure clarity from planning to post-deployment. • I prioritize performance, reliability, and scale, building systems that aren’t just accurate, but fast, maintainable, and cost-efficient. • I move with intent - scoping projects clearly, setting expectations early, communicating consistently, and delivering on time. • I think like a partner, not a contractor - solving the problem behind the problem, and always looking for the simplest, smartest path to ROI. If you’re looking for a high-caliber AI partner - someone who writes clean code and thinks like a product strategist, let’s connect. I’ll help you bring your AI vision to life, from concept to deployment.

⭐️ Top Rated Plus - Top 1% of talent on Upwork 🕒 5000+ hours on Upwork ✅ 10+ years of Experience ✅ Excelling in delivering Fortune 500-scale projects Is your goal to build an enterprise-grade AI solution that scales to millions of users and attracts serious investment? As a Top-Rated Plus Senior AI Architect with 10+ years of experience, I don't just build models; I deliver production-ready AI systems that drive business outcomes. My work has been a key component of products that have collectively raised over $15.5 million in funding. For you, this means a partnership focused on mitigating risk, ensuring scalability, and delivering a clear return on your investment. I specialize in taking complex business challenges and translating them into a strategic AI roadmap, from a robust Proof of Concept (PoC) to a fully deployed Minimum Viable Product (MVP) and beyond. I am a highly experienced and versatile AI expert, specializing in Generative AI, Large Language Models (LLM), Machine Learning, Time Series Forecasting, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Data Science. My unique blend of technical expertise, business acumen, and entrepreneurial spirit sets me apart, as I consistently deliver transformative solutions that drive real business value. Key strengths and skills: 🦾 Pioneer in Prompt-Driven Development (PDD), architecting systems where human-readable prompts serve as the primary source of truth and code is treated as a highly efficient compiler artifact 🦾 Extensive Prompt Engineering experience with many different LLMs and systems like OpenAI o4 and GPT-5.3, Claude 4.6 Sonnet/Opus, Mistral, Gemini 3.1, Llama 4, HuggingFace, Together AI, Ollama, LM Studio, Groq, Cursor, Windsurf, Codex, Claude Code, and many others 🦾 Skilled in getting AI projects to production with frameworks like TextGrad, DSPy, ell, Langchain, LlamaIndex, LangServe, LangSmith, Kor, Zapier, MemGPT, Claude Computer Use, and other cutting-edge AI tools (e.g., Cursor, Claude Code) 🦾 Achieved dramatic cost reduction and runtime improvements with fine-tuning using QLORA, DeepSpeed, OpenAI Claude, DeepSeek R2, Unsloth, Quantization, Transformers, and GPU clusters 🦾 Successfully completed multiple Agentic framework projects with Model Context Protocol (MCP), Computer Use, OpenAI Agents SDK, Autogen/AG2, CrewAI, Google Agent Development Kit (ADK), LangGraph, MultiOn, Open Interpreter, and other agent-based systems 🦾 Strong background in computer vision and generative imaging/video with OpenCV, Stable Diffusion, Pika, Runway, Opus, and Midjourney. 🦾 Built real-time voice speech-to-text and text-to-speech systems with Twilio, Bland AI, Whisper, ElevenLabs, and others 🦾 Proficient in ML frameworks (TensorFlow, Keras, PyTorch, scikit-learn) and programming languages (Python, Mojo, C++, JavaScript) 🦾 Expertise in algorithmic trading, stock/option/future forecasting, cryptocurrency, NFTs, DeFi protocols, and Solidity with time series technology like AutoTS, Prophet, TimeGPT, PatchTST, etc. 🦾 Skilled in full-stack web development (v0 dev, React, Angular, Vue.js, Django, Node.js, FastAPI, Flask) and cloud computing (AWS, GCP, Azure, DigitalOcean) 🦾 Proficient in MLOps tools (Weights and Biases, Neptune, MLFlow, BentoML, Docker) and databases (RAG, Faiss, Weaviate, Pinecone, Neo4J, MongoDB, MySQL, BigQuery, PostgreSQL, SQLServer) 🦾 Fundraising from introductions, pitch deck, due diligence, and closing 🦾 Product management from idea to end of life. I have the unique ability to understand complex business processes and automate them with AI. 🦾 Project/People Management from writing job descriptions to hiring, managing, running scrums/standups, and delivering performance reviews for nearly a thousand people Let's Build Your Competitive Advantage! Ready to move forward with an AI partner who understands both the technical details and the business vision? 🤝 Send me a message outlining your project. I would be happy to schedule a brief introductory call to discuss your objectives and how my expertise can help you achieve them.