I migrate, harden, and run hybrid infrastructure across AWS, VMware, and Proxmox so you get one architect for both your cloud and your on-prem stack instead of stitching together three specialists. Whether you're moving on-prem workloads to AWS, building a Proxmox or VMware cluster, recovering a broken Linux server, or automating deployments with Ansible and CI/CD, I've done it across 85 completed jobs at a 100% Job Success score. 13+ years of hands-on enterprise infrastructure experience, AWS-certified (Solutions Architect, SysOps, Developer) and KCNA, with real production work behind every claim below. Cloud & migration On-prem ↔ AWS migrations (MGN/DRS), EC2, ECS/Fargate, Lightsail, CloudFront, NGINX, SSL/certificate setup, and AWS backup configuration. I've moved live workloads both directions AWS to on-prem and Dell PowerEdge to consolidated micro-servers without losing data or uptime. Virtualization Proxmox (installs, v6→v8 upgrades, cluster setup, VM/VMDK exports from AMI) and VMware (vCenter/ESXi cluster setup, vSphere, VMDK migrations). This is repeat work for me, not a side skill. Disaster recovery & resilience Tested DR with real RTO/RPO targets, warm-standby and pilot-light patterns, and backup strategies that actually restore verified, not assumed. DevOps & automation Ansible-first configuration automation, Docker and Docker Swarm, Jenkins CI/CD pipelines, and containerized deployments. I automate the repeatable so your team stops doing it by hand. Linux & hardening Server hardening, security baselines, performance tuning, hosting stacks (Plesk, cPanel), and monitoring with DataDog across Ubuntu, RHEL/CentOS, and SUSE. What clients consistently say: clear communication, reliable delivery, and solving the actual problem instead of the surface symptom. Send me a short description of your environment and what you're trying to achieve. I'll reply with a straight assessment and an honest recommendation on whether I'm the right fit usually within a few hours.

🏆 𝗘𝘅-𝗚𝗼𝗼𝗴𝗹𝗲 & 𝗔𝗺𝗮𝘇𝗼𝗻 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝟮𝟬+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽. 🤝 - 𝗙𝗿𝗲𝗲 𝟯𝟬–𝟲𝟬 𝗺𝗶𝗻𝘂𝘁𝗲 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 before starting the project - 𝗨𝗦-𝗯𝗮𝘀𝗲𝗱 𝗦𝗲𝗻𝗶𝗼𝗿 𝗡𝗼𝗱𝗲.𝗷𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 & 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗔𝗪𝗦 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 - 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲𝗱 𝘄𝗶𝘁𝗵 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝘁𝗲𝗮𝗺𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝗨𝗦, 𝗨𝗞, 𝗘𝘂𝗿𝗼𝗽𝗲, 𝗮𝗻𝗱 𝗨𝗔𝗘. 𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 & 𝗜𝗺𝗽𝗮𝗰𝘁 (𝗡𝗼𝗱𝗲.𝗷𝘀 + 𝗔𝗪𝗦 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱) - ⬇️ ➤Helped 50+ clients scale and optimize their Node.js backend systems on AWS ➤Supported 30+ organizations in AWS infrastructure, Node.js deployment, and system reliability ➤Improved Node.js backend performance on AWS, reducing data processing time by 40% ➤Built CI/CD pipelines for Node.js applications on AWS, reducing deployment time by 90% ➤Automated AWS-based backend deployments for Node.js services, reducing downtime by 40% ➤Designed high-availability AWS architectures for Node.js systems, achieving 99.99% uptime with disaster recovery strategies ➤Delivered scalable Node.js + AWS architectures supporting high-traffic production environments ➤Migrated 50+ applications to AWS cloud using Node.js backend architectures, reducing infrastructure costs by up to 30% ✅𝐒𝐞𝐧𝐢𝐨𝐫 𝐍𝐨𝐝𝐞.𝐣𝐬 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 & 𝐀𝐖𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫. I help startups and growing businesses build scalable, production-ready systems with full ownership from development to AWS deployment. ✅I specialize in 𝐍𝐨𝐝𝐞.𝐣𝐬 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐮𝐬𝐢𝐧𝐠 𝐄𝐱𝐩𝐫𝐞𝐬𝐬.𝐣𝐬 𝐚𝐧𝐝 𝐍𝐞𝐬𝐭𝐉𝐒, building high-performance APIs, microservices, and scalable architectures. I also work with 𝐑𝐞𝐚𝐜𝐭, 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭, 𝐚𝐧𝐝 𝐓𝐲𝐩𝐞𝐒𝐜𝐫𝐢𝐩𝐭 to support full-stack development when needed. ✅On the cloud side, I design and deploy systems on 𝐀𝐖𝐒 𝐮𝐬𝐢𝐧𝐠 𝐄𝐂𝟐, 𝐒𝟑, 𝐑𝐃𝐒, 𝐃𝐲𝐧𝐚𝐦𝐨𝐃𝐁, 𝐋𝐚𝐦𝐛𝐝𝐚, 𝐀𝐏𝐈 𝐆𝐚𝐭𝐞𝐰𝐚𝐲, 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝𝐅𝐫𝐨𝐧𝐭, building secure and scalable cloud-native and serverless applications. ✅I implement 𝐂𝐈/𝐂𝐃 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐚𝐧𝐝 𝐃𝐞𝐯𝐎𝐩𝐬 workflows using AWS tools, ensuring fast, reliable deployments and stable production systems. ✅𝐅𝐫𝐨𝐦 𝐌𝐕𝐏𝐬 𝐭𝐨 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, I handle the full lifecycle, architecture, development, deployment, and scaling, delivering high-performance backend systems built for real-world traffic. 𝙉𝙤𝙙𝙚.𝙟𝙨 𝘽𝙖𝙘𝙠𝙚𝙣𝙙 & 𝘼𝙒𝙎 𝘾𝙡𝙤𝙪𝙙 𝙎𝙚𝙧𝙫𝙞𝙘𝙚𝙨: ⬇️ → Node.js + NestJS backend architecture with AWS cloud infrastructure → Scalable Node.js + TypeScript backend systems deployed on AWS → High-performance Node.js APIs with React / Next.js integration → Node.js microservices using NestJS, TypeScript & AWS services → Production-ready Node.js + Next.js applications on AWS cloud → Secure Node.js backends with AWS IAM, built in TypeScript → Node.js API development with JavaScript / TypeScript on AWS → Node.js serverless backend development using AWS Lambda → Node.js applications with AWS S3 storage integration → Node.js backend scaling using AWS load balancing and auto scaling → Event-driven Node.js systems using AWS messaging services → Real-time Node.js backend systems hosted on AWS → Node.js database architecture using AWS RDS and DynamoDB → Node.js CI/CD pipelines with AWS deployment workflows → Node.js backend migration and modernization on AWS cloud → Node.js SaaS backend systems powered by AWS infrastructure → Node.js API Gateway setup with AWS integration → Node.js monitoring and logging using AWS CloudWatch → Node.js multi-tenant backend systems on AWS cloud → Node.js backend optimization for AWS cost and performance → Enterprise-grade Node.js backend systems deployed on AWS → Node.js backend security and authentication with AWS services → Node.js high-availability systems built on AWS architecture 𝗟𝗲𝘁’𝘀 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗲 𝗮 𝗳𝗿𝗲𝗲 𝟯𝟬-𝗺𝗶𝗻𝘂𝘁𝗲 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 𝘄𝗵𝗲𝗿𝗲 𝗜 𝗰𝗮𝗻 𝘄𝗮𝗹𝗸 𝘆𝗼𝘂 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝘀𝘁𝗲𝗽 𝗯𝘆 𝘀𝘁𝗲𝗽. Best, 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐌𝐚𝐧𝐬𝐨𝐨𝐫

🚀YOU WILL GET A SYSTEM AUDIT REPORT FOR FREE🚀 🚨 𝗜𝗳 𝘆𝗼𝘂𝗿 𝘀𝘆𝘀𝘁𝗲𝗺 𝗯𝗿𝗲𝗮𝗸𝘀, 𝗜 𝗳𝗶𝗻𝗱 𝗶𝘁. 𝗜𝗳 𝗮𝗹𝗲𝗿𝘁𝘀 𝗳𝗮𝗶𝗹, 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗲𝗺. 𝗜𝗳 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝘀 𝗺𝗶𝘀𝘀𝗶𝗻𝗴, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗶𝘁 — 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱. Production issues don’t come from one place — they come from gaps across infrastructure, applications, networks, and security. I close those gaps. Client Testimonial: "𝐈 𝐫𝐞𝐚𝐥𝐥𝐲 𝐚𝐩𝐩𝐫𝐞𝐜𝐢𝐚𝐭𝐞 𝐲𝐨𝐮𝐫 𝐡𝐞𝐥𝐩, 𝐀𝐛𝐝𝐮𝐥. 𝐘𝐨𝐮 𝐚𝐫𝐞 𝐚𝐰𝐞𝐬𝐨𝐦𝐞! 𝐀𝐛𝐝𝐮𝐥 𝐰𝐚𝐬 𝐚𝐛𝐥𝐞 𝐭𝐨 𝐤𝐧𝐨𝐜𝐤 𝐨𝐮𝐭 𝐰𝐡𝐚𝐭𝐞𝐯𝐞𝐫 𝐈 𝐰𝐚𝐬 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐢𝐧 𝐆𝐫𝐚𝐟𝐚𝐧𝐚. 𝐈 𝐰𝐨𝐮𝐥𝐝 𝐡𝐢𝐠𝐡𝐥𝐲 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝 𝐡𝐢𝐦 𝐭𝐨 𝐚𝐧𝐲𝐨𝐧𝐞 𝐰𝐡𝐨 𝐢𝐬 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 𝐆𝐫𝐚𝐟𝐚𝐧𝐚." Lets just 𝗱𝗲𝘁𝗲𝗰𝘁 𝗶𝘀𝘀𝘂𝗲𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘂𝘀𝗲𝗿𝘀 𝗳𝗲𝗲𝗹 𝘁𝗵𝗲𝗺, 𝗿𝗲𝗱𝘂𝗰𝗲 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲, 𝗮𝗻𝗱 𝗴𝗮𝗶𝗻 𝗳𝘂𝗹𝗹 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗰𝗿𝗼𝘀𝘀 𝘆𝗼𝘂𝗿 𝘀𝘁𝗮𝗰𝗸 — not just dashboards, but real reliability. 💡 What I Fix • Systems going down without clear reasons • Slow or failing applications with no root cause visibility • Missing or noisy alerts (alert fatigue) • Blind spots in network traffic and service communication • Security logs with no actionable monitoring • Disconnected tools with no centralized observability • Slow incident response and firefighting mode 🚀 What You Get • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (AWS environments, Linux systems, Kubernetes stability) • 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 (Performance monitoring, logs, tracing, failure detection) • 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 (Latency tracking, traffic insights, service health) • 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗔𝗹𝗲𝗿𝘁𝗶𝗻𝗴 (Log-based detection, anomaly signals, audit visibility) • 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 (Grafana, Prometheus, Loki, ELK, OpenSearch, CloudWatch) • 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝗹𝗲𝗿𝘁𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗔𝗜𝗢𝗽𝘀) (Anomaly detection, noise reduction, smart escalation) 🧠 Core Stack AWS (EC2, CloudWatch), Linux Prometheus, Grafana, Loki, ELK, OpenSearch Kubernetes, Docker Terraform, Ansible, Bash, Python Jenkins, GitHub Actions, ArgoCD 📈 Results You Can Expect ✔ Faster root cause detection ✔ Fewer incidents and reduced downtime ✔ Clean, actionable alerts (no noise) ✔ Full visibility across infra, apps, network, and security 🎯 CTA If your system is unstable, unclear, or constantly firefighting — I’ll fix it. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐨𝐫 𝐬𝐞𝐧𝐝 𝐚𝐧 𝐢𝐧𝐯𝐢𝐭𝐞. 𝐈’𝐥𝐥 𝐫𝐞𝐯𝐢𝐞𝐰 𝐲𝐨𝐮𝐫 𝐬𝐞𝐭𝐮𝐩 𝐚𝐧𝐝 𝐭𝐞𝐥𝐥 𝐲𝐨𝐮 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐰𝐡𝐚𝐭’𝐬 𝐛𝐫𝐨𝐤𝐞𝐧 — 𝐛𝐞𝐟𝐨𝐫𝐞 𝐰𝐞 𝐞𝐯𝐞𝐧 𝐬𝐭𝐚𝐫𝐭.

Your AI demos work on a laptop. But can they handle real users, real scale, and real money on the line? If you're tired of LLM prototypes that break in production, RAG systems that hallucinate instead of retrieve, or ML deployments that cost 3x what you budgeted you're in the right place. I build production-grade AI infrastructure that stays up, scales out, and doesn't drain your cloud budget. Over 4+ years shipping backend and ML systems for US, UK, and Middle East clients, I've learned what separates a demo from a product. Here's what that looks like in practice: • $6K Vertex AI pipeline — delivered end-to-end, on time, production-ready • Production RAG system — 95% retrieval accuracy, 40% cost reduction on Azure • Scikit-learn on SageMaker — deployed with API Gateway + Lambda, fully automated • MCP server for live ERP — connected LLM to real business data in real time • PostgreSQL + K3s cluster — built on-premises with Ansible, fully automated • 17 microservices migrated — cloud-native architecture, zero-downtime cutover • 30% cloud cost reduction — same performance, smaller bill • 50% faster deployments — CI/CD pipelines that actually work • 99.95% uptime — across 500K+ daily transactions, monitored and alerting HERE'S HOW I HELP YOU MLOps & Model Deployment You trained a great model. Now you need it deployed, versioned, monitored, and reproducible. I build MLOps pipelines on AWS SageMaker, Azure ML, and Vertex AI using Terraform, Docker, and Kubernetes. Your models go from notebook to production API with automated retraining, A/B testing, and drift detection. No more "it worked on my machine." Stack: SageMaker | Azure ML | Vertex AI | Docker | Kubernetes | Terraform | MLflow | FastAPI RAG & LLM Systems Your users ask complex questions. Generic GPT-4 answers won't cut it. I build Retrieval-Augmented Generation pipelines that pull from your actual documents, databases, and knowledge bases — with source citations, accuracy scoring, and hallucination guardrails. Stack: LangChain | LangGraph | LlamaIndex | OpenAI | Azure OpenAI | Pinecone | pgvector | Supabase | Azure AI Search AI Agents & MCP Servers Your LLM needs to do things, not just talk. I build AI agents and MCP (Model Context Protocol) servers that connect LLMs directly to your ERP, CRM, databases, and internal APIs. Live data. Real actions. Auditable results. Stack: MCP | LangGraph | FastAPI | PostgreSQL | REST APIs | WebSocket Cloud Infrastructure & DevOps ML without solid infrastructure is just a script. I design and implement cloud-native architectures on AWS and Azure with Infrastructure-as-Code, automated CI/CD, and production monitoring. You get infrastructure that scales automatically, recovers from failures, and costs less every month. Stack: Terraform | GitHub Actions | Jenkins | AWS CodePipeline | CloudWatch | Grafana | ECS | EKS | Lambda WHO THIS IS FOR ✓ Startup founders launching AI features under deadline pressure ✓ Engineering teams that need ML infrastructure without hiring a full MLOps team ✓ Companies migrating from prototype to production LLM systems ✓ CTOs who want predictable cloud costs and deployment reliability WHO THIS ISN'T FOR ✗ One-off script jobs with no path to production ✗ Teams looking for the cheapest option, not the right option ✗ Projects without clear success metrics or ownership Ready to turn your AI prototype into a production system? Click "Invite to Job" and tell me what you're building. I'll respond within 24 hours with a clear plan, honest timeline, and no fluff.

With 13 years of hands-on experience building and operating high-scale web and mobile applications, I bridge the gap between development and operations to deliver end-to-end solutions that are robust, secure, and maintainable. 👁 What I Bring to Your Project: 💻 Full-Stack Development: Expertise in Node.js frameworks (Fastify, NestJS), TypeScript, modern front-end stacks, plus Android & iOS mobile development. ☁️ Cloud Architecture & Automation: Deep knowledge across AWS, GCP, Azure & DigitalOcean—designing resilient, cost-optimized infrastructures with Terraform, CloudFormation, and GitOps. 📦 Containerization & Orchestration: Docker, Kubernetes (EKS, GKE, AKS), Helm charts—automating deployments, scaling workloads, and implementing zero-downtime rollouts. 🛠️ CI/CD & DevOps Tooling: Jenkins, GitHub Actions, GitLab CI/CD—crafting pipelines for automated testing, security scans, and continuous delivery. 🔋 Databases & Storage: MySQL, PostgreSQL, Redis—schema design, replication, backup strategies, and performance tuning. Key Highlights Architected and migrated multiple monoliths to microservices on Kubernetes, reducing deployment time by 80%. Automated infrastructure provisioning and drift remediation using Terraform, saving weeks of manual ops for global teams. Implemented end-to-end CI/CD workflows with best-practice security checks (IaC linting, container scans, unit & integration tests). Developed mobile companion apps on Android and iOS, integrating real-time features and offline sync capabilities. Why Work With Me? Proven Track Record: 13+ years delivering production-grade solutions for startups and enterprises. Full-Lifecycle Ownership: From requirements gathering and architecture through coding, deployment, and 24/7 support. Clear Communication: Regular status updates, transparent documentation, and hands-on collaboration—no surprises. Quality & Security Focus: I embed best practices for testing, monitoring, and vulnerability management into every project.

🏆 AWS Certified (5x) | 🏗️ DevOps Architect | 📊 SRE | ☸️ Kubernetes (2x) | 🌍 Terraform (1x) | 🚀 CI/CD | 🌟 Seasoned 8+ Year DevOps Architect Specializing in AWS (100% Job Success Rate | 100% Client Satisfaction) I partner with companies across diverse domains, including FinTech, Healthcare, Aerospace, and IoT, to design, build, and optimize resilient, scalable cloud infrastructure and CI/CD pipelines. My focus is on reducing operational costs, accelerating deployment cycles, and ensuring high availability for critical applications. 🛠️ Key Expertise & Technology Stack I provide end-to-end DevOps expertise leveraging industry-leading tools: ✅Cloud & Containers: AWS, Azure, Kubernetes, Docker, Helm. ✅IaC & Automation: Terraform, CloudFormation, AWS CDK, Ansible, Chef, Crossplane, and ACK. ✅CI/CD & GitOps: Jenkins, GitHub Actions, GitLab CI, AWS DevOps, Argo CD, Flux. ✅Monitoring & Observability (SRE): Prometheus, Grafana, DataDog, ELK Stack, Zabbix. ✅Scripting: Python, Shell, PowerShell. 🤝 Commitment & Collaboration I deliver robust and scalable solutions, from initial architectural design (Well-Architected Framework) to day-two operations. Let's schedule a call to discuss how I can leverage my expertise to drive your project's success and optimize your cloud investment.

I am Naresh, co-founder of Amenity Technologies, a company that specializes in assisting companies with AI/ML and Data Science & Analytics. I provide end-to-end AI consultancy. I'm a senior computer vision and machine learning engineer with vast experience in full-stack development, AR/VR, and robotics. with more than 8.5+ years of expertise working with businesses to produce creative initiatives that will bring value to their projects based on innovation. The following is a list of the technologies I employ daily when I code: ✅ N8N automation for restaurants calling bot, voice calling bot for Real Estate clients, sales team training voice bot. ✅ AI Agents: Implemented Agentic workflow with LLMs, SLMs, RAGs, Agentic RAG, LangFuse. ✅ LLMs: AI based Marketing Journey Crerator, Document Parsing, FAQ bot, RAG systems with Open AI and without Open AI also on our own could. Have used LLMs like DeepSeek, LAMA, Minstrel, Hugging Face etc. ✅ Fullstack: Python, C++, Django, Flask, JS, React, NodeJS, Typescript, Docker, Kubernetes ✅ ML/DL: Mediapipe, Pytorch/Keras, Transformers, RasaNLP, SparkML, SparkNLP, LGBM, and many others ✅ Computer Vision: OpenCV, Open3D, PCL, VisualSLAM, OpenMVG, FFMPEG, and more ✅ Cloud solutions: Cloud Compute, Vertex AI, Cloud SQL, Cloud Functions, AWS ✅ We have created Algo trading bot for Indian stock market. The cases I work with: ✅ Machine Learning & AI: - Algorithms like KNN, K-MEAN, DBSCAN, MEAN SHIFT - Data cleaning, filling in missing values & selecting the best features - Prediction models which use logistic & linear regression, Decision Tree, Random Forest, Naive Bayes, SVM - Graphical analysis via matplotlib ✅ Deep Learning & AI: - Image Classification via CNN, GoogLeNet, VGGNet, ResNet - Object Detection via F-RCNN, YOLO, SSD, R-FCN - Object tracking via SAE and CNN, FCNT, MDNET - Semantic Segmentation via DeepLab, RefineNet - Instance Segmentation via Mask RCNN - 3D Object Segmentation and Detection - 3D Reconstruction ✅ Data Science & Analytics: -Data wrangling -Data Wrangling via Pandas, NumPy, Scikit-learn -Data Visualization via Matplotlib, Seaborn, Plotly -Statistical Analysis via SciPy, Statsmodels, PyMC3 -Machine learning -Machine Learning via Scikit-learn, TensorFlow, PyTorch -Natural language processing -Natural Language Processing via NLTK, SpaCy, Gensim -Recommender system -Recommender Systems via Surprise, LightFM, Implicit -Big data -Big Data via Spark, Hadoop, Dask ✅ NLP & AI: - Sentiment Analysis - Sentence segmentation - Named Entity Recognition - Auto punctuation - Converting unstructured data into structured data - POS tagging ✅ IoT & Cloud: - Lambda in AWS, Alexa Skill Development - Raspberry Pi, Nvidia Jetson Nano, Arduino, Banana Pi, Intel Movidius - Android app for IoT and cloud - Custom Google Assistant and Alexa - Smart Home Shoot me a message if you got an idea, I am here to bring it to life!

🎯 AWS Architect specialising in production migrations, EKS, and compliance builds. $500K+ delivered across 129 AWS engagements at 100% Job Success. Top Rated Plus on Upwork. IT-Magic is an AWS Advanced Consulting Partner. ☁️ 𝐑𝐞𝐜𝐞𝐧𝐭 𝐟𝐥𝐚𝐠𝐬𝐡𝐢𝐩 𝐰𝐨𝐫𝐤: 🔸 Nova Poshta Global and Intertop, rebuilt on AWS for Black Friday-class load 🔸 PCI DSS Level 1 led end-to-end at Centrobill 🔸 HIPAA AWS configured in Drata for a US healthcare operator 🔸 Ubisoft AWS infrastructure optimised for 50M+ daily gamers 🔸 QliqSOFT migrated to EKS and passed HIPAA audit, operational costs cut Most AWS work gets split across three or four freelancers who don't talk to each other - one runs infra, one writes Terraform, one handles compliance, one chases the cost. I handle the full stack directly, so the migration, the IaC, the compliance lift, and the FinOps pass land as one coordinated build instead of four disconnected handoffs. 🔧 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝: - AWS migrations from bare metal, on-premises, or older AWS architectures (also Azure builds on AKS) - EKS, ECS, and Kubernetes clusters with multi-AZ fault tolerance and auto-scaling - Terraform-managed infrastructure (IaC, no hand-clicked configs) - HIPAA and PCI DSS compliance lifts on AWS Security Hub, GuardDuty, and AWS Inspector - AWS cost optimisation - documented 42% bill cut on one engagement, ongoing 40% average on retainers - High-availability ecommerce builds for Black Friday-class traffic (Ubisoft, Invogue, intertop.ua, Yakaboo) - CI/CD pipelines on GitLab CI, Jenkins, and Docker-based deploys - Production monitoring and SRE - CloudWatch, ElastiCache, OpenSearch, system audits 📋 𝐂𝐫𝐞𝐝𝐞𝐧𝐭𝐢𝐚𝐥𝐬: - IT-Magic is an AWS Advanced Consulting Partner - AWS Certified Solutions Architect Professional - AWS Certified DevOps Engineer Professional - AWS Certified Security Specialty - AWS Certified Advanced Networking Specialty - AWS Partner - Generative AI Essentials - Top Rated Plus on Upwork, top 3% globally - 13+ years on Linux and production cloud, based in Warsaw 🎯 𝐖𝐡𝐨 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡: E-commerce, fintech, healthcare, and AI-workload companies that cannot afford a bad migration or a surprise cloud bill. Mid-stage to enterprise. Teams that already have engineering and want a senior AWS partner who can also handle the compliance and FinOps conversations - without a junior strategist in the middle. ⚙️ 𝐇𝐨𝐰 𝐈 𝐑𝐮𝐧 𝐚𝐧 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭: 1️⃣ Read - 48-hour technical audit, current setup mapped, risks flagged, written plan back to you 2️⃣ Architect - target architecture and migration order designed before any code ships 3️⃣ Build - migration, IaC, CI/CD, compliance lifts delivered as one workstream 4️⃣ Handover - architecture diagrams, Terraform repo, runbooks, observability dashboards, knowledge transfer session 𝐈𝐟 𝐲𝐨𝐮𝐫 𝐀𝐖𝐒 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐢𝐬: 🛠️ Migration-pending - I have done 129 of these. I will tell you what to move first, what to refactor before the move, and what to leave for later. 🛡️ Compliance-pressured - HIPAA, PCI DSS, SOC 2, ISO 27001 audits passed under my watch. 💰 Quietly overspending - averaging 40% bill cut on retainer accounts, with the change-log to prove it. 🤖 AI-workload-heavy - I have built GPU-cluster and Bedrock/SageMaker setups for production AI services. 𝐖𝐡𝐚𝐭 𝐌𝐚𝐤𝐞𝐬 𝐌𝐞 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭: ✔️ Senior multi-discipline - AWS architecture + IaC + compliance + FinOps as one build ✔️ AWS Advanced Consulting Partner with a dedicated team behind the delivery ✔️ Top Rated Plus, 100% JSS across 50+ contracts ✔️ Consistent delivery methodology - same 4-step process on every engagement ☎️ Send me the details and I will come back in 48 hours with a specific read on what to fix first and in what order.

AI & Cloud Data Engineering Specialist | Driving ROI with Intelligent Systems & Real-Time Insights I help organizations transform data into measurable business outcomes through advanced AI/ML solutions, cloud data engineering, and real-time analytics. My work focuses on improving operational efficiency, reducing costs, and enabling smarter decision-making by building scalable, production-ready systems aligned with business objectives. With extensive experience across finance, healthcare, insurance, and enterprise environments, I combine deep technical expertise with a business-first mindset—ensuring every solution delivers tangible ROI. Core Services AI & Machine Learning Development: Design and deploy predictive and intelligent models including classification, forecasting, recommendation systems, NLP, and generative AI applications. Cloud Data Engineering & Architecture: Build and optimize scalable ETL/ELT pipelines, data lakes, and data warehouses on AWS and Azure, ensuring high performance, security, and cost efficiency. Real-Time Analytics & Business Intelligence: Implement streaming data pipelines and interactive dashboards using Power BI and Tableau to provide live operational and strategic insights. AI-Driven Automation & Intelligent Workflows: Automate business processes using Azure Logic Apps, LLMs, OpenAI, AI agents, and API-driven systems to significantly reduce manual effort and improve throughput. Advanced Analytics & Decision Support: Deliver executive-level reporting and data products that translate complex data into actionable business intelligence. Technology Stack Python, SQL, TensorFlow, PyTorch, BERT, LLMs & Generative AI, Azure ML, Azure OpenAI, AWS Lambda, Databricks, Snowflake, PySpark, Docker, REST APIs, Cognitive Search, Power BI, Tableau, Streamlit, AI Agents, Computer Vision, Cloud Automation. Why Clients Choose Me I focus on outcomes, not just implementations. My approach ensures every technical decision supports business growth—delivering faster processes, lower costs, enhanced customer experience, and scalable systems built for long-term success. Keywords: AI/ML Engineer, n8n, Voiceflow, Relevance AI, OpenAI, Firecrawler, LinkedIn Data Extractor, Twillio, Website Chat Widget, Make, Google sheet, Whatsapp API, Cloud Data Engineer, Predictive Analytics, Real-Time Data, ETL/ELT Pipelines, AWS, Azure, GCP, Python, SQL, Snowflake, Databricks, PySpark, LLMs, Generative AI, OpenAI, GPT-4, GPT-5, Claude, Gemini, RAG, LangChain, AI Automation, NLP, BERT, Deployment, Power BI, Tableau, Data Warehousing, Streaming Analytics, Business Intelligence, Workflow Automation, Fraud Detection, Cognitive Search, Docker, REST APIs, Scalable Architecture.

Need a senior architect who designs business-focused solutions and handles backend AI pipelines, RAG, or complex ETL at scale? Whether Python, Node.js, Go, or many others, I've shipped production systems for 16+ years, including: HIPAA-compliant platforms, identity infrastructure, and LLM-powered APIs on AWS. What sets me apart: behind my backend specialization, speed, quality, and cost stay balanced because you see every trade-off and make the call with me. I don't just wire up an API. I architect the data flow, own the cloud infrastructure, and handle complex auth (OAuth2, OIDC, SAML),so you don't need to manage different contractors. With Top Rated Plus status and $150K+ earned across 7 active contracts, my clients keep coming back for two simple reasons: I communicate clearly, and I ship on time. 🐍 Python backends — FastAPI, Flask, Django, async workers, parallelism ⚡ Node.js / TypeScript APIs — Express.js, Nest.js, REST, GraphQL, Supabase integrations 🐹 Golang services — high-performance APIs, concurrency, microservices 🤖 AI & RAG pipelines — LLM orchestration, vector search, embedding workflows 📊 ETL & data engineering — GCP BigQuery, PostgreSQL, MongoDB, Kafka, RabbitMQ, SQS ☁️ Cloud & DevOps — AWS (Lambda, EC2, S3, Step Functions), GCP, Docker, Kubernetes, Helm 🔐 Identity & Auth — OAuth2, OIDC, SAML, OpenID Connect 🌐 Full-stack when needed — React.js, Next.js, Redux, Vue.js ✅ Top Rated Plus on Upwork — top 3% of talent ✅ 16+ years of software development experience ✅ Led HIPAA-compliant mental health platform as sole technical owner (Node.js + AWS) ✅ Redesigned inbound identity module of Gluu, open-source IAM platform (SAML → OpenID Connect proxy) ✅ Certified: Programming with Google Go (UC Irvine) | Cloud Native Dev with Node.js, Docker & Kubernetes ✅ Acted as Product Lead and CTO — I understand business context, not just code Send me a message with what you're trying to build or fix — a single sentence is enough to start. I'll tell you how I'd approach it and the trade-offs to expect, so you can evaluate the fit before we scope anything. Detailed spec or just a rough idea, send it over.