Hire the Best MLOps Specialists

Hi, I`m Noor 👋 "I turn raw data into clear, actionable insights that empower better decisions and drive real results, every step of the way." I'm a Data Scientist and AI Engineer. Over the past 5+ years, I’ve worked on projects that combine data engineering, machine learning, and large language models to build intelligent, production-ready solutions. I specialize in designing end-to-end ML pipelines, developing LLM-powered applications (RAG, LangChain, Llama-2/3, OpenAI), and deploying scalable systems on Azure, Databricks, and Docker. My work often involves automating data workflows, improving prediction accuracy, and transforming complex data into clear insights. Some of my favorite projects include building an AI chatbot for e-commerce, a predictive system for event planning, and an IoT protocol translator using LLMs. I value clarity, efficiency, and collaboration and I always aim to deliver results that make a measurable impact. If you’re looking for someone who can turn your data or AI idea into a working solution, I’d be happy to help.

I build and ship production AI systems that real users depend on, not demos. RAG pipelines, multi-agent LLM apps, fine-tuned models, and multimodal/OCR extraction, deployed to run 24/7 on Kubernetes and serverless GPU. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Top-Rated Plus | 100% Job Success | 4+ years ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Enterprise-grade AI for multinational companies and startups, including HIPAA-conscious healthcare workflows. I turn complex requirements into intelligent, production-ready applications that drive measurable results. ━━━━━━━━━━━━━━━━━━━━━ WHAT I DO BEST ━━━━━━━━━━━━━━━━━━━━━ Agentic AI & Multi-Agent Systems Custom architectures with LangGraph, CrewAI, and Model Context Protocol (MCP), including self-improving agents that learn from evaluation feedback. Built for real automation, not chatbot demos. Advanced RAG, Evaluation & Observability 10+ production RAG systems (self-RAG, adaptive retrieval), one serving hundreds of users across thousands of documents. Migrated Pinecone to Weaviate for better recall at lower cost. Every system ships with LLM-as-judge, retrieval metrics, and full tracing (LangSmith/Langfuse), so quality is measured, not guessed. LLM Fine-Tuning & Cost Optimization PEFT (LoRA/QLoRA), SFT, DPO, and instruction tuning. Fine-tuned a 7B Arabic model served on autoscaling serverless GPU, plus multimodal vision-language models. Cut client AI costs by up to 40% through open-source replacement and quantization, with no drop in performance. Multimodal & Document AI OCR and document-extraction pipelines across PDF, DOCX, PPTX, Excel, and images, with strong F1 on messy financial and clinical documents. Also built a temporal, multi-hop knowledge graph over an encrypted Postgres + Qdrant store with client-side encryption. AI Automation & Integrations Connecting LLMs to real business systems: n8n, Make (Integromat), Zapier, CRM automation (HubSpot, GoHighLevel, Airtable), Supabase backends, and Twilio/WhatsApp. AI that plugs into how your team actually works. Enterprise Backend & Scalable Infra Master-level Python (FastAPI, Flask), robust CI/CD, and multi-cloud deployment (AWS, Azure, GCP). Docker + Kubernetes with KEDA autoscaling, plus privacy-first, multi-tenant systems (E2EE, RBAC, audit logging), including HIPAA-conscious PHI handling. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ Agents & LLMs: LangChain, LlamaIndex, LangGraph, CrewAI, MCP, Hugging Face (PEFT/TRL), Ollama, TGI, vLLM ▸ Eval & Tracing: LangSmith, Langfuse, LLM-as-judge, custom eval frameworks ▸ Vector DBs: Weaviate, Pinecone, Qdrant, FAISS, ChromaDB ▸ Models: OpenAI, Claude, Gemini, fine-tuned open-source ▸ Automation: n8n, Make (Integromat), Zapier, Supabase, Twilio ▸ Backend: Python (FastAPI, Flask), TypeScript/Node (NestJS, NextJS), PostgreSQL, MongoDB ▸ MLOps & Cloud: Docker, Kubernetes, KEDA, CI/CD, Airflow, MLflow; AWS (SageMaker, Lambda), Azure ML / Azure OpenAI, GCP, serverless GPU ▸ CV & Data: OCR optimization, vision-language models, Stable Diffusion, web scraping ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY CLIENTS PICK ME ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ Ships to production. I build AND deploy. You get systems that run 24/7 and scale, not a prototype someone else has to finish. ▸ Proven track record. Top-Rated Plus, 100% Job Success, enterprise and healthcare AI delivered end-to-end. ▸ Innovation-driven. I bring the latest (MCP, adaptive RAG, new model releases) into production. ▸ Cost-conscious. High-performance AI that optimizes spend without compromising quality. ▸ Quality-first. Production-grade code, proper testing, and evaluation built in. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Building an AI product, or need one taken from prototype to production and scaled reliably? Send me the brief and I'll tell you exactly how I'd approach it.

Hi, I’m Mehul, a Top-Rated-Plus AWS Expert and DevOps Engineer who helps startups and founders launch and scale reliable SaaS, healthcare, and fintech platforms on AWS. ✅ Top 1% Upwork Freelancer ✅ 125+ Projects Completed ✅ 7000+ Hours Worked ✅ Top-Rated Plus on Upwork ✅ AWS Certified Developer - Associate 🏆 🏆 I’ve designed systems serving 2M+ users, built HIPAA-compliant healthcare apps, and helped teams cut cloud bills by 30–40 % without compromising performance. My focus is simple: build it once, make it scale, and keep your costs under control. ✅ What I Do ➥ Architect secure, serverless AWS setups using Lambda, API Gateway, and DynamoDB ➥ Deploy AI Agent to AWS with Bedrock ➥ Automate deployments with Terraform, GitHub Actions, and CodePipeline ➥ Optimise infrastructure for speed, uptime, and cost 💡 Why Work With Me ➥ 7+ years in AWS DevOps ➥ $300 K+ earned on Upwork, 100 % Job Success Known for clear communication, quick delivery, and long-term reliability Let’s connect if you’re building a product and want an AWS setup that’s secure, scalable, and easy to manage so you can focus on growing your business while I handle the cloud. Experienced with Amazon EC2, S3, RDS, Aurora, DynamoDB, ElastiCache, CloudFront, API Gateway, Step Functions, EKS, Fargate, CodePipeline, CodeBuild, CloudWatch, Grafana, Prometheus, GuardDuty, Security Hub, AWS Organisations, SCPs, KMS, Secrets Manager, IAM, WAF, Route53, ACM, Amplify, SageMaker, Bedrock, OpenSearch, and CloudFormation. Python, Bash, TypeScript, Node.js, Docker, Kubernetes, GitHub Actions, GitLab CI, Jenkins, n8n, Zapier.

I build production AI agents and custom MCP servers for business. Not demos: systems that run real processes 24/7, documented and monitored. 100% Job Success, Top Rated. Portfolio: pablodelarco .com What I do 🤖 AI Agents: agentic workflows with Claude Code, LangChain, LangGraph, CrewAI and n8n. 🔌 Custom MCP Servers: connect Claude to your real systems (billing, CRM, databases, APIs). ☁️ AI Infrastructure: Kubernetes with GitOps (ArgoCD, Helm, CI/CD), on your cloud or on-prem. ✍️ Technical Writing: docs and guides for AI, cloud and Kubernetes. 350+ Medium followers, featured by Cilium. Recent work • Arco Rooms: autonomous property management platform, 29 automated jobs across real estate, banking and BI. • AgentBloc: open-source framework that turns a workflow description into an agent team. • finetwork-mcp: MCP server exposing a telecom's invoices and billing to any MCP client. Why me: AI Cloud Engineer at OpenNebula Systems (EU-funded cloud projects). Speaker at FOSDEM, foss-north and NexusForum. Double MSc in Telecom & Cloud Computing (EURECOM 🇫🇷 + Aalto 🇫🇮). Everything gets tested on my own Kubernetes cluster first. Tell me which process is eating your team's hours and I will tell you if an agent can run it. I reply within 24 hours.

𝐈 𝐡𝐞𝐥𝐩 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬, 𝐂𝐓𝐎𝐬, 𝐚𝐧𝐝 𝐀𝐈/𝐌𝐋 𝐭𝐞𝐚𝐦𝐬 deploy, scale, and maintain production-ready AI systems using MLOps, LLMOps, DevOps, cloud infrastructure, and full-stack engineering. If you have an AI prototype, ML model, RAG application, AI agent, data pipeline, or SaaS platform that needs to become stable, scalable, and ready for real users, I can help. Many AI projects work well in notebooks, demos, or internal tests, but start breaking when real users, real data, cloud costs, latency, monitoring, and deployment complexity come in. My focus is to 𝐬𝐨𝐥𝐯𝐞 𝐭𝐡𝐚𝐭 𝐠𝐚𝐩 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 𝐚𝐧𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. I am Sami, leading a team of experienced full-stack, AI, DevOps, MLOps, and cloud engineers. We design, build, deploy, and scale AI-powered applications with strong backend architecture, CI/CD pipelines, observability, automation, and production-grade infrastructure. 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐘𝐨𝐮 𝐖𝐢𝐭𝐡 𝗠𝗟𝗢𝗽𝘀 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 and implementation 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 and model serving 𝗟𝗟𝗠𝗢𝗽𝘀 for RAG systems, AI agents, and LLM applications 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 for AI, ML, backend, and full-stack systems 𝗗𝗼𝗰𝗸𝗲𝗿, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, Helm, Terraform, ArgoCD, and GitOps workflows 𝗖𝗹𝗼𝘂𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 on AWS, Google Cloud Platform, and Azure 𝗗𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, ETL workflows, Airflow, DVC, Kafka, and Azure Data Factory 𝗠𝗼𝗱𝗲𝗹 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, logging, alerting, observability, and drift detection 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗔𝗣𝗜 development and third-party integrations 𝗖𝗹𝗼𝘂𝗱 𝗰𝗼𝘀𝘁 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻, FinOps, and performance optimization 𝗦𝗲𝗰𝘂𝗿𝗲, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, and maintainable web and mobile applications 𝐂𝐨𝐦𝐦𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐈 𝐒𝐨𝐥𝐯𝐞 "We have an AI prototype, but need to deploy it properly." "Our ML model works locally, but not reliably in production." "We need CI/CD, Docker, Kubernetes, or cloud infrastructure for our AI product." "Our LLM app or RAG system is slow, costly, or hard to monitor." "We need better observability, logging, and monitoring for our AI workflows." "We need a technical team that understands full-stack development, DevOps, MLOps, and AI engineering together." 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐭𝐚𝐜𝐡 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React.js, Next.js, Vue.js, TypeScript 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Node.js, Python, FastAPI, Django, Flask, Golang 𝗔𝗜/𝗠𝗟: OpenAI API, Hugging Face, TensorFlow, PyTorch, LangChain, LangGraph, LangSmith 𝗠𝗟𝗢𝗽𝘀/𝗟𝗟𝗠𝗢𝗽𝘀: Airflow, DVC, Weights & Biases, Kubeflow, DagsHub, ML pipelines, model monitoring, AI workflow automation 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS, GCP, Azure, Docker, Kubernetes, Terraform, Helm, ArgoCD, GitHub Actions, GitLab CI/CD, Jenkins, Ansible 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Prometheus, Grafana, ELK Stack, OpenTelemetry 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL, MongoDB, Redis, Firebase 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: ETL pipelines, Kafka, S3, Azure Blob Storage, Azure Data Factory 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐖𝐞 𝐇𝐚𝐯𝐞 𝐖𝐨𝐫𝐤𝐞𝐝 𝐖𝐢𝐭𝐡 We have worked with startups and growing companies across SaaS, healthcare, fintech, lawtech, edtech, aviation, marketing, eCommerce, automation, and AI products. 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐔𝐬 1. 𝟵𝟮% 𝗼𝗳 𝗼𝘂𝗿 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 are long-term partners. We work closely with founders, CTOs, startups, and enterprise teams to build systems that are not just functional, but scalable, maintainable, and ready for real users. 2. We have helped launch startups that 𝗿𝗮𝗻𝗸𝗲𝗱 #𝟭 𝗼𝗻 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗛𝘂𝗻𝘁 and have worked with 𝗬𝗖 𝗮𝗹𝘂𝗺𝗻𝗶 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 to turn early-stage ideas into production-ready platforms used by real customers. 3. Our strength is combining 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗱𝗲𝗽𝘁𝗵. We do not just build features; we think about reliability, deployment, monitoring, performance, security, cost, and long-term scalability from the beginning. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐀𝐧𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐖𝐞 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐁𝐮𝐢𝐥𝐝 𝐎𝐫 𝐒𝐜𝐚𝐥𝐞 AI-powered SaaS platforms RAG applications and AI agents ML model deployment systems Data and ETL pipelines Multi-tenant SaaS platforms Cloud-native applications Internal automation tools CRM, ERP, EHR/EMR, and case management systems Booking and reservation platforms Customer portals and marketplaces Mobile and progressive web applications 📩 If you are building an AI product, ML platform, data pipeline, or SaaS application and need help making it production-ready, scalable, and reliable, 𝐥𝐞𝐭’𝐬 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭.

AI & Software Engineer | Specializing in Generative AI, Machine Learning I am experienced in building intelligent systems and optimizing cloud infrastructure with extensive hands-on experience in AI, data engineering, and cloud technologies. With a proven track record of delivering scalable, efficient, and tailored solutions, I’m here to help bring your tech vision to life. ————————— You are here because ————————— - You are a small to mid-sized startup or business pushing the boundaries of technology. - You need custom AI or cloud solutions that go beyond pre-built options and offer a competitive edge. - You need expert guidance in automating workflows, deploying AI models, and optimizing cloud infrastructure to scale. - You’re looking for a tech partner who can handle everything from data pipelines to machine learning models, and deliver results. ——————————— Here’s why I’m the right fit: ——————————— I specialize in building and deploying complex AI solutions that automate tasks, optimize processes, and scale with your business. My experience spans multiple industries, and I’ve delivered everything from predictive data pipelines to advanced machine learning models. I work with technologies like Python, AWS, GCP, and Ansible to provide end-to-end solutions. ——————————— I help my clients: ——————————— - Develop and deploy intelligent systems (e.g., LLM assistants, predictive models, and image enhancement). - Optimize cloud infrastructure (AWS/GCP) for maximum performance. - Automate workflows using Ansible and monitor critical operations with Grafana. - Build robust data pipelines using PySpark, Airflow, and BigQuery. ——————————— More about me: ——————————— With a strong foundation in AI, cloud computing, and software development, delivering custom solutions that drive business outcomes. My projects range from automating customer support with AI assistants to designing scalable data pipelines for real-time data processing. I use tools like AWS SageMaker, Docker, and Kubernetes to build production-ready solutions. Whether you need an AI-powered application or cloud infrastructure optimization, I’m here to guide you through the entire process, from planning to execution. For more details on my projects and how I can assist you, check out my portfolio below. Let’s collaborate and bring your tech vision to life!