Hey there, Welcome to my Upwork profile. I help startups, SaaS businesses, ERPs, and growing teams build AI-powered systems that are practical, scalable, and aligned with real business goals, not just experimental prototypes. With 10+ years of experience across full-stack development, automation, SaaS platforms, and AI integrations, I work closely with founders and teams to bring clarity before and during development: 1). What should actually be built 2). Which processes are worth automating 3). How to design systems that remain scalable, maintainable, and useful as the business grows My focus is always on building solutions that work reliably with real users, real workflows, and real operational requirements. 🧠 Core Expertise 1) AI, Automation & Intelligent Systems - Python, TensorFlow, scikit-learn - NLP and AI-powered workflow automation - LLM integrations and AI agents - RAG pipelines and intelligent search systems - Data processing and automation logic 2) Full-Stack & SaaS Development - FastAPI, Django, Flask, Node.js - React.js, Next.js, Tailwind CSS - REST APIs and third-party integrations - Scalable SaaS architecture and admin systems - Custom dashboards and internal tools 3) Cloud, Deployment & Infrastructure - AWS & GCP - Docker and CI/CD pipelines - Secure deployment workflows - Database design and optimization ⭐ Why Clients Work With Me - Strong hands-on experience with scalable applications - End-to-end development ownership - Clean, reliable, and maintainable code - Business-focused technical decisions - Clear communication and dependable delivery - Long-term support and collaboration If you are looking for practical AI solutions, scalable systems, and clear technical direction, we will work well together. My Availability- -40 hrs/week Flexible with All Time Zones. -Communications Skills- Excellent In English. -Quality Service in Clients budget. -Updates Client on daily basis. Let’s discuss your idea and build something reliable, scalable, and useful. Thanks.

🏅 Top Rated Plus | 100% Job Success | 🚀 7+ years shipping production software Your team is burning $50K–$500K a year on work AI should already be doing. I build the systems that reclaim it: I pinpoint the waste, automate it, and ship it to production. Not prototypes, not demos, real systems running 24/7. I'm an AI Developer and AI-powered Full Stack Engineer with a strong machine learning foundation, and I lead a team that takes extreme ownership of what we ship. As an AI Developer, I take projects from idea to production: AI architecture, AI agents, agentic workflows, and RAG pipelines, grounded in real machine learning rather than wrappers. As a Full Stack and Web Developer, I build the product around them in React, Node, and Python. And as an AWS architect, I deploy and harden everything with observability, security, and cost optimization, so you get an AI system that ships fast and runs reliably in production. 🐾 Pet Health Care System — AI-native OS for vet hospitals; unifies scheduling, records, billing, imaging across 6–12 tools. Targets 40% of a vet's day lost to paperwork, $50K–$100K/yr no-show losses, 8–12% of procedures never invoiced. Built with Next.js, NestJS, PostgreSQL, Python AI and deployed on AWS Architecture. 🏨 Hotelly — All-in-one hotel ops platform: CRM, billing, tasks + Apple TV (tvOS) in-room entertainment. 70–95% less manual reset effort, 50–80% faster provisioning, 60–90% less admin time. Built with React, React Native, Node.js, PostgreSQL, deployed on AWS Architecture by AI Developers. 📄 DocuPulse — AI document intelligence inside Excel for finance & compliance teams. Processing 5–10 min → under 1 sec, 94% cost reduction, 88–99% accuracy. Built with React, Node, ElasticSearch, AWS. 🪟 Fenestra — AI order intelligence turning WhatsApp/emails into error-free POs in under 60 sec across 25,000+ SKUs. Live inventory checks, accurate orders before dispatch. Built with Next.js, NestJS, PostgreSQL, LangChain, Claude. 🛒 Smart Shop AI — Ecommerce intelligence unifying Shopify, Google Ads & Meta with a conversational AI analyst. Real-time insights, anomaly alerts, campaign recommendations. Built with NestJS, React, PostgreSQL, LangChain. Developed by a team of AI Developers and AWS Architects ✅ AI Agents & Agentic AI: As an AI Developer and agentic AI developer, I design AI agents and multi-agent systems that run agentic workflows across LangGraph, CrewAI, n8n, and Zapier, designed to scale operations without adding headcount. ✅ AI Voice & AI Chatbots: I build voice AI agents and conversational AI on the OpenAI Realtime API, LiveKit, ElevenLabs, Deepgram, and Whisper, plus WhatsApp, Telegram, and web chatbots wired to real business logic. ✅ RAG & LLM Engineering: I build hallucination-resistant RAG pipelines in Python over Pinecone, Weaviate, Qdrant, ChromaDB, LanceDB, and Amazon OpenSearch, using hybrid search, re-ranking, chunking, and embeddings. Also Deployed on AWS as a scalable AWS Architecture ✅ AI Orchestration: I orchestrate LLM applications in Python with LangChain, LangGraph, and LlamaIndex, connecting the OpenAI API, Anthropic Claude (Sonnet, Opus, Haiku), AWS Bedrock, and Vertex AI through MCP servers, function calling, and structured outputs. ✅ Machine Learning & Data Science: As a machine learning engineer working alongside data scientists, I take models across the full lifecycle, from data pipelines and feature engineering to training, evaluation, and deployment. ✅ Document Intelligence: I turn documents into answers with PDF parsing, OCR, and document Q&A over knowledge bases and ERP integrations. ✅ Prompt Engineering: I engineer reliable model behavior through system prompt architecture, chain-of-thought, and prompt chaining, then harden it with prompt optimization, evals, and guardrails. ✅ Generative AI Models: I work across GPT-4o, GPT-4 Turbo, o1, and o3, Claude Sonnet, Opus, and Haiku, Gemini 1.5 and 2.0, LLaMA, Mistral, and Whisper, picking the right model for each job. ✅ Full Stack & Web Development: As a full stack developer, web developer, and Python developer, I build full stack apps with React, Next.js, TypeScript, and Tailwind CSS on the front end, and Node.js, NestJS, Express, and Python (FastAPI, Django, Flask) on the back end, including work as an AI website developer and app developer building AI web apps around real product logic. ✅ AWS Architecture & Cloud: As an AWS cloud architect and AWS solutions architect, I handle AWS architecture end to end, deploying on AWS using Lambda, EC2, ECS, EKS, Fargate, S3, RDS, Aurora, DynamoDB, SQS, SNS, EventBridge, CloudFront, API Gateway, VPC, IAM, KMS, WAF, and Secrets Manager. AWS Certified Cloud Practitioner. ✅ No-Code & Workflow Automation: As an Airtable developer, I connect tools like Airtable, n8n, Zapier, and Make into automated workflows that move data and trigger actions automatically. 📩 Send me your project brief. I'll reply within 2 hours with a concrete action plan.

🚀 Senior Full-Stack & AI/ML Engineer | Building Scalable, Intelligent Web Applications You don’t just need code, you need a reliable, production-ready product that scales, performs, and leverages the true power of modern AI. With over 10 years of experience, I specialise in bridging 𝒄𝒖𝒕𝒕𝒊𝒏𝒈-𝒆𝒅𝒈𝒆 𝑨𝑰 𝒊𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒐𝒏 𝒘𝒊𝒕𝒉 𝒔𝒕𝒓𝒊𝒄𝒕 𝒆𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈 𝒅𝒊𝒔𝒄𝒊𝒑𝒍𝒊𝒏𝒆. I partner with SaaS founders, enterprise teams, and ambitious startups to transform complex ideas into high-performing digital realities that drive real business results, not just fragile prototypes. ⚡ What I Bring to Your Project 🤖 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 * **Generative AI:** ChatGPT / OpenAI API integration, LLM fine-tuning, and custom AI copilots. * **Intelligent Automation:** Autonomous agents, AI workflows, and sophisticated chatbot ecosystems. * **Advanced Analytics:** Predictive modeling, recommender systems, NLP, and computer vision. 💻 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 & 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 * **Robust Backends:** Node.js, Next.js, Django, Flask, REST APIs, GraphQL, and microservices. * **Dynamic Frontends:** Modern, responsive UI/UX using React, Tailwind CSS, and contemporary JS frameworks (MERN/MEAN stack expert). * **Cross-Platform Mobile:** Seamless, native-feeling applications built with **Flutter**. ☁️ 𝐂𝐥𝐨𝐮𝐝 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 & 𝐃𝐞𝐯𝐎𝐩𝐬 * **Cloud Platforms:** AWS, GCP, Azure. * **Continuous Delivery:** CI/CD pipelines, Docker, Kubernetes. * **Scalable Databases:** High-performance system design and optimization across SQL, NoSQL, and Firebase. 💡 The "𝐖𝐡𝐲 𝐌𝐞?" Factor Many developers can build an AI wrapper, but few know how to architect the scalable, secure, and maintainable infrastructure required to support it in the wild. I don't just write scripts; I build resilient systems designed for real-world user loads and long-term growth. If you are building a next-generation SaaS product, integrating AI into an existing platform, or looking to intelligently scale your current architecture, let’s collaborate. 📩 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲, 𝗮𝗻𝗱 𝗹𝗲𝘁’𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝘄𝗲 𝗰𝗮𝗻 𝗯𝘂𝗶𝗹𝗱 𝗮 𝗳𝘂𝘁𝘂𝗿𝗲-𝗿𝗲𝗮𝗱𝘆 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝘁𝗵𝗮𝘁 𝘀𝗲𝘁𝘀 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗮𝗽𝗮𝗿𝘁.

Your go-to fullstack AI engineer and workflow automation expert, I build AI systems that quietly run in production. Specializes in building AI systems that are: → Helps real Business Operations → Scalable → Enterprise-grade → Multi-tenant → Secure → Built for ROI AI Agents, n8n workflows, LLM multi-agent architecture, RAG pipelines, and the fullstack apps that wrap around them. RECENT WORK: → Multilingual cancellation management system for a German B2B client, Azure OpenAI + n8n classifying vendor replies in German and English, auto-generating bilingual responses. Replaced a manual triage queue. → Mobile Application for a Saudi Arabia Client to manage workforce & work with AI integrations. → End-to-end content automation pipeline, content brief to published post, GCP OAuth, multi-stage n8n workflow. → Outbound sales engine using Apollo + Saleshandy + n8n + Claude API, enrichment, personalization, and reply handling at scale. → Multi-agent HR ops system with Web Application, specialized AI agents handling recruitment, onboarding, and policy workflows across Slack and Teams. → RAG pipelines for B2B catalogs and knowledge bases (HVAC technical specs, internal docs, support corpora) using Pinecone, pgvector, LlamaIndex, and LangChain. → Fullstack SaaS builds, multi-tenant platforms with React/Next.js frontends, FastAPI/Django backends, and AI features baked into the core product flow. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHERE I'M STRONGEST 1. Workflow Automation Production n8n architecture, the messy real-world kind with retries, error handling, rate limits, and observability. Not happy-path demos. Multi-system orchestration across CRMs, email, Slack, databases, and internal APIs. 2. AI Agents & LLM Systems RAG pipelines that retrieve the right thing the first time. Multi-agent orchestration with Anthropic, OpenAI, and open models. Tool use, function calling, evaluation, and production guardrails. Vector databases, embedding strategy, and retrieval tuning. 3. Fullstack Development React and Next.js on the frontend. Python (FastAPI, Django, Flask) and Node.js on the backend. PostgreSQL, MongoDB, vector DBs. REST and GraphQL APIs. End-to-end app delivery, not just the AI layer, but the dashboards, admin panels, auth, billing, and UI your users actually touch. 4. Infrastructure & Deployment Docker, CI/CD pipelines, AWS and Azure. Production monitoring, logging, and the boring reliability work that separates a demo from a system you can bill clients on.

Top Rated AI Developer | 100% Job Success Score | 5 Star Ratings | Google Vertex AI certified - Let's build yours I'm an AI developer specialising in Agentic AI systems, LLM-powered applications, computer vision, and intelligent automation. From production-grade ML models to custom AI chatbots and autonomous agent workflows, I build AI that actually works in the real world, not just in notebooks. What I build: → Agentic AI & AI Agents : autonomous multi-step workflows using LangChain, AutoGen, n8n → LLM Applications : GPT-4, Claude, Gemini, Llama integration into web & mobile products → RAG Systems : intelligent knowledge bases & document Q&A with Pinecone / Weaviate → AI Chatbots : trained on your data, voice-enabled, live 24/7 (Flowise, custom) → Computer Vision : object detection (YOLO), image recognition, OCR (PyTorch, OpenCV) → ML Models : Google Vertex AI, TensorFlow, scikit-learn for prediction & classification → AI Automation : n8n, Python pipelines, workflow automation for business processes → Generative AI : 3D prompt engineering, image generation, AI avatar & lip-sync systems Core stack: Python · LangChain · OpenAI API · Google Vertex AI · Flowise · PyTorch · TensorFlow · YOLO · n8n · Stable Diffusion · Midjourney · Django · Flask Let's build something intelligent, message me or book a $40 consultation call.

I help SaaS founders, enterprises, and fast-growing teams deploy production-grade AI systems that automate workflows, cut operational costs, and create measurable ROI. With deep expertise in AI Agents, RAG pipelines, and full-stack SaaS platforms, I architect and deliver solutions built on LangChain, LangGraph, OpenAI/Claude/Gemini, AWS Bedrock, FastAPI, React/Next.js, and enterprise cloud stacks (AWS/GCP/Vercel). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT I BUILD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → AI Agents & Multi-Agent Systems Autonomous agents with tool use, memory, and orchestration via LangGraph and AutoGen — integrated into your CRMs, APIs, and internal workflows. → RAG Knowledge Chatbots AI assistants grounded in your docs, databases, and knowledge base for accurate, hallucination-free answers at scale. → Voice AI Pipelines End-to-end voice agents using VAPI, Twilio, and ElevenLabs for support automation, lead qualification, and outbound calling. → AI-Powered SaaS Development Full-stack SaaS platforms with auth, billing, dashboards, and AI modules — built in Next.js + FastAPI, ready to onboard real users from day one. → LLM Integration & Optimization Fine-tuned prompts, custom retrieval pipelines, eval frameworks, and cost/performance optimization for existing AI products. → Document Intelligence Pipelines Smart PDF/data processing for summarization, extraction, legal/contract review, and compliance automation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AI/LLM: LangChain, LangGraph, OpenAI (GPT-4o, o3), Claude 3.5, Gemini 2.5, AWS Bedrock, Hugging Face, DeepSeek Retrieval: Pinecone, Chroma, FAISS, Hybrid Search, vector embeddings, evals Voice: VAPI, Twilio, ElevenLabs Backend: Python, FastAPI, Node.js, REST APIs, WebSockets, Celery workers Frontend: React, Next.js, TypeScript, Tailwind CSS Data/Cloud: MongoDB, PostgreSQL, AWS, GCP, Vercel — CI/CD, security, scalability ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RESULTS CLIENTS CARE ABOUT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - Chatbots handling 90%+ of routine queries → frees support teams, qualifies leads automatically - RAG systems reducing lookup time by up to 80% → precise, verifiable answers with source citations - AI SaaS MVPs delivered in weeks, not months → ready to onboard and charge real users - Automations cutting manual ops costs by 30–50% → reliable AI + workflow orchestration ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW I WORK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Discovery → Architecture → Delivery → Evaluation (with strict gates for accuracy, latency, and cost at each stage) - Business-first approach — I track KPIs like CSAT, AHT, conversion, and cost-to-serve - Clear communication and frequent demos — you see progress at every stage - Production-grade handover — scalable, documented, and maintainable code ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Ready to build something dependable? Tell me your goal — support automation, lead gen, knowledge retrieval, voice AI, or a full SaaS product — and I'll map the fastest path to measurable ROI.

I help companies design, build, and deploy production-grade AI/ML systems — from Generative AI applications and RAG pipelines to MLOps platforms and GPU-based infrastructure. With 11+ years in software development and 5+ years in AI/ML, I work across the full lifecycle: solution design, model development, distributed training, deployment, and optimization. My experience includes OpenAI-based applications, LangChain/LangGraph workflows, agentic AI, vector databases, AWS/GCP/Azure cloud platforms, MLOps pipelines, and large-scale GPU environments. I can help you with: Generative AI applications using OpenAI, LangChain, LangGraph, and agents RAG pipelines with embeddings, vector databases, semantic search, and evaluation MLOps and ML pipelines for training, deployment, monitoring, and scaling GPU infrastructure, NCCL validation, distributed training, and performance optimization Python-based AI backends with FastAPI, AWS, GCP, Vertex AI, SageMaker, and Docker/Kubernetes Why clients hire me: Strong mix of hands-on engineering and architecture Ability to work from prototype to production Experience with both AI application development and underlying infrastructure Clear communication and fast execution If you need a freelancer who can build reliable AI systems — not just demos — I’d be glad to help. Better shorter version If you want a more compact version: I help businesses build production-grade AI/ML systems, including Generative AI apps, RAG pipelines, MLOps workflows, and GPU-based infrastructure. I have 11+ years of software development experience and 5+ years in AI/ML, with hands-on expertise in OpenAI, LangChain, LangGraph, Python, AWS, GCP, Vertex AI, SageMaker, Docker, Kubernetes, and distributed GPU systems. My work includes: GenAI apps and AI agents RAG and semantic search systems MLOps pipelines and model deployment GPU cluster setup, NCCL testing, and PyTorch distributed training Cloud-native AI systems on AWS, GCP, and Azure I focus on building scalable, production-ready solutions that solve real business problems.

Lead specialist data engineering, data science, cloud, and AI team at Agility.AI Act as lead architect on every engagement — direct technical ownership, not delegated oversight Vetted delivery team executes behind the architecture; no large-consultancy overhead, no solo-generalist risk 100% Job Success Score | Top Rated 200+ data engineering projects | 200+ AI/ML implementations | 80+ cloud migrations delivered ⭐ DATA ENGINEERING Pipeline architecture, ELT, real-time streaming — Snowflake, Databricks, dbt, Apache Kafka, Apache Spark Warehouse/lakehouse design — Snowflake, BigQuery, Redshift, Synapse — 60-80% query runtime reduction ERP/CRM integration — SAP, Oracle, Dynamics, Salesforce — with master data management and full lineage 500TB+ processed daily | 99.9% uptime | 6-10 weeks kickoff to production ⭐ DATA SCIENCE & MACHINE LEARNING Predictive analytics — time-series forecasting, demand modeling, churn prediction (scikit-learn, XGBoost, custom neural networks) Deep learning, NLP (classification, entity extraction, sentiment analysis), computer vision (object detection, OCR, quality inspection) MLOps — model monitoring, automated retraining, drift detection (SageMaker, Azure ML, Vertex AI) 85% average model accuracy across 50+ production ML models | ROI within 8-12 weeks ⭐ CLOUD & INFRASTRUCTURE MIGRATION On-prem to cloud (AWS, Azure, GCP) and cloud-to-on-prem repatriation — same team, either direction Database, ETL, warehouse, storage, and application migration — zero data loss, phased cutover, parallel-run validation Terraform IaC, Kubernetes, CI/CD — reproducible, auditable environments 80+ migrations | zero data loss | 40-60% infrastructure cost reduction | 99.9% post-cutover uptime ⭐ AGENTIC AI & LLM SYSTEMS Production multi-agent systems — LangChain, LangGraph, CrewAI, AWS Bedrock RAG pipelines with hallucination prevention and enterprise compliance checkpoints 50K+ daily queries at sub-300ms latency — measured in production ⭐ ENTERPRISE BI & POWER PLATFORM Governed Power BI ecosystems — RLS, Fabric Lakehouse, DirectLake Board-level reporting accuracy standards ⭐ PROVEN RESULTS Manufacturing: 88% forecast accuracy | 40% safety stock reduction | SAP/Siemens MES/Oracle SCM integration Healthcare: 95%+ diagnostic ML accuracy | 85% cardiac risk prediction (30-day advance) | 78% incident reduction across 40+ EMR systems FMCG: Full on-prem to Azure migration | 200+ stored procedures | 1,000+ SSRS to Power BI | 40% cost reduction | zero data loss Insurance: 500+ daily statements automated | 95% manual entry reduction | 70% claims latency reduction Pharmaceuticals: 70% cost reduction | 100% pipeline automation | 15+ global clients Retail: 20% sales uplift | 25% stockout reduction ⭐ WHO WE WORK WITH Organizations with legacy infrastructure outgrowing its current platform — cloud-bound or repatriating Organizations with data fragmented across systems AI initiatives funded but stuck in prototype Migration, model, or compliance requirements needing an accountable architect, not just a spec-writer ⭐ NEXT STEP 30-minute scoping call Fast start once fit is confirmed

I am a PhD-level AI Systems Architect and Fractional CTO specializing in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Computer Vision, and production-grade MLOps pipelines. 𝐈 𝐝𝐨𝐧'𝐭 𝐣𝐮𝐬𝐭 𝐰𝐫𝐢𝐭𝐞 𝐜𝐨𝐝𝐞, 𝐈 𝐦𝐚𝐤𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐭𝐡𝐚𝐭 𝐬𝐚𝐯𝐞 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐟𝐫𝐨𝐦 𝐞𝐱𝐩𝐞𝐧𝐬𝐢𝐯𝐞 𝐦𝐢𝐬𝐭𝐚𝐤𝐞𝐬 𝐝𝐨𝐰𝐧 𝐭𝐡𝐞 𝐫𝐨𝐚𝐝. I help startups and enterprises design, build, and scale intelligent systems moving beyond demos into structured, reliable, and deployable AI architectures. 𝑴𝒚 𝑪𝒐𝒓𝒆 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆: ━━ 𝐀𝐈 𝐒𝐘𝐒𝐓𝐄𝐌𝐒 & 𝐋𝐋𝐌 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑𝐈𝐍𝐆 ━━ 🅞 End-to-end RAG pipelines (hybrid retrieval, reranking, vector databases: FAISS, Pinecone, Weaviate) 🅞 Agentic AI systems with tool use, memory, and multi-agent orchestration 🅞 Fine-tuning and LoRA/QLoRA optimization pipelines 🅞 Scalable inference infrastructure and cloud-native ML systems (AWS) 🅞 CI/CD and MLOps workflows for production AI products 🅞 Workflow automation at production scale (n8n, self-hosted) 🅞 Scalable inference infrastructure and cloud-native ML systems on AWS 🅞 Frameworks: LangChain, LlamaIndex, FastAPI, Docker, Kubernetes ━━ 𝐂𝐎𝐌𝐏𝐔𝐓𝐄𝐑 𝐕𝐈𝐒𝐈𝐎𝐍 & 𝐆𝐄𝐍𝐄𝐑𝐀𝐓𝐈𝐕𝐄 𝐀𝐈 ━━ 🅞 GAN architectures: StyleGAN, CycleGAN, pix2pix, SRGAN 🅞 Semantic segmentation: UNet, DeepLab, Mask R-CNN, custom 3D UNet 🅞 Object detection & tracking: YOLO, Faster R-CNN 🅞 Multi-GPU distributed training and CUDA optimization 🅞 Model evaluation, benchmarking, and deployment (cloud & on-prem) 🅞 PyTorch, TensorFlow, OpenCV ━━ 𝐅𝐑𝐀𝐂𝐓𝐈𝐎𝐍𝐀𝐋 𝐂𝐓𝐎 & 𝐓𝐄𝐂𝐇𝐍𝐈𝐂𝐀𝐋 𝐋𝐄𝐀𝐃𝐄𝐑𝐒𝐇𝐈𝐏 ━━ 🅞 Define technical architecture and long-term technology roadmap 🅞 Design and scale AI/ML systems aligned with business goals 🅞 Build and lead engineering teams 🅞 Establish development processes and delivery frameworks 🅞 MLOps and cloud infrastructure strategy (AWS: EC2, S3, EKS, IAM) 🅞 Technical due diligence, vendor selection, and hiring 𝐖𝐇𝐎 𝐈 𝐖𝐎𝐑𝐊 𝐖𝐈𝐓𝐇 → Funded startups needing senior AI leadership → Enterprises automating internal operations with AI → Founders who need a technical co-mind, not just a coder 𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐂𝐇𝐎𝐎𝐒𝐄 𝐌𝐄 ✔ PhD in AI, I understand the science, not just the tools ✔ CTO background, I think in systems, not just features ✔ I've built and shipped, not just researched ✔ I work async, communicate clearly, deliver on time ✔ I tell you when something won't work, before you pay for it 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 AI/ML → LangGraph, LangChain, OpenAI, Claude API, HuggingFace, RAG, Vector DBs Automation → n8n, Webhook integrations, Event-driven pipelines Backend → FastAPI, Python, REST APIs, PostgreSQL Cloud → AWS (Solutions Architect), Docker, Linux servers 𝐄𝐍𝐆𝐀𝐆𝐄𝐌𝐄𝐍𝐓𝐒 𝐈 𝐎𝐅𝐅𝐄𝐑 - AI Automation Audit: find where AI saves you time/money - MVP AI Pipeline Build: scoped, fixed price, delivered fast - Fractional CTO: ongoing senior AI leadership - Full System Build: end-to-end architecture + delivery If you're building something serious with AI not a prototype that breaks in production, but a real system Let's talk. Send me a message describing what you're trying to build.

Certified AI/ML & Data Engineering expert with proven success in deploying YOLO-based Computer Vision, GenAI Chatbots, BigQuery Data Lakes, and ETL Pipelines. I build intelligent, scalable systems that turn raw data into real-time insights for elite sports teams and businesses. Over the years, I’ve worked with international sports organizations and enterprises like Barclay's, Citigroup, Standard Life Insurance, American Express etc to turn raw data into actionable insights, deploying full-stack solutions that span data ingestion, model training, and visualization. Key Skills & Technologies: Python, YOLO, OpenCV, LLMs, BigQuery, Looker, Data Lake, Data Warehousing, ETL Pipelines, Data Migration, Analytics Dashboards Some Highlights of my work: ** AI-Powered Computer Vision Analytics using YOLO and deep learning to track players and events in football match videos ** LLM-Powered Search & Chatbot Application designed for a football club to make internal knowledge searchable and conversational ** Smart Budget Tracking Solution using Looker and BigQuery for real-time, interactive data visualizations ** Performance Data Lake and Data Warehouse architecture for an international cricket board to centralize and analyze player and match data ** Scouting Application for a professional football club, integrating machine learning models and custom analytics dashboards to support recruitment and decision-making How Can I Help You? ** I specialize in building end-to-end data and AI solutions tailored to your business goals. Here’s how I can help: ** AI & Machine Learning Solutions – From model development to deployment using YOLO, LLMs, and custom ML pipelines ** Computer Vision Systems – Object detection, tracking, and video analytics for sports, security, and manufacturing ** Generative AI Apps – Chatbots and knowledge assistants powered by LLMs, fine-tuned for your domain ** Modern Data Engineering – Scalable Data Lakes, Data Warehouses (BigQuery, Snowflake), and real-time ETL pipelines ** Data Migration & Integration – Clean and reliable data movement between systems ** Business Intelligence & Dashboards – Interactive visualizations using Looker and BigQuery for smarter decisions Whether you're a startup, enterprise, or sports organization, I can deliver reliable, production-grade solutions that turn data into impact. Let’s connect if you're ready to leverage AI and data engineering to elevate your business and If you need professional who will treat your task as most important thing, and you need the task done in timely manner with expertise and utilizing best practices.