🏅 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, AWS. 🏨 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, AWS 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. ✅ 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. ✅ 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. ✅ Integrations: I connect products to the tools businesses already run, including Stripe, HubSpot, Salesforce, NetSuite, Plaid, Yodlee, HL7/FHIR, Slack, MS Teams, and WebRTC. 📩 Send me your project brief. I'll reply within 2 hours with a concrete action plan.

I help founders and businesses build AI-powered SaaS products, internal platforms, and backend systems that are designed for real users, real workloads, and long-term growth. Most software projects fail because teams focus on code before understanding the business process. My approach is different: first we define the workflow, users, integrations, and operational requirements. Then I design and build the system so it remains reliable when customers, data, and usage grow. Throughout my career I've worked on scalable cloud systems, authentication platforms, SaaS products, workflow automation tools, and AI-enabled applications using AWS and TypeScript. Whether you're launching a new product, modernizing internal operations, or integrating AI into an existing platform, I can help take the project from architecture to production. How I Work I combine strong software architecture practices with modern AI-assisted development workflows to accelerate delivery without compromising quality, maintainability, or long-term scalability. AI is integrated throughout planning, implementation, testing, documentation, and code reviews where it creates a clear advantage. This allows me to move faster on repetitive engineering tasks while keeping human oversight on architecture, security, business logic, and critical technical decisions. I work with modern AI development workflows, including AI coding assistants, agent-based tooling, retrieval systems, MCP-based integrations, and AI-powered automation pipelines. However, I view these as productivity tools—not substitutes for sound engineering judgment. For clients, this typically means: • Faster development cycles • Reduced implementation costs • Better documentation and maintainability • Quicker prototyping and iteration • More focus on solving business problems instead of repetitive engineering work What I Build AI-Powered SaaS Products AI-enabled applications and platforms AI agents and workflow automation Retrieval-Augmented Generation (RAG) systems Knowledge bases and document intelligence OpenAI and Claude integrations Multi-step agent workflows Backend Systems & SaaS Architecture Node.js and TypeScript backends NestJS applications Multi-tenant SaaS platforms Scalable REST APIs Authentication and authorization systems Event-driven architectures Enterprise workflow platforms AWS Cloud & Serverless Systems I design systems that remain maintainable and cost-effective as usage grows rather than requiring expensive rewrites later. Typical Projects AI chatbots integrated into existing products SaaS MVPs built for launch and future scaling Internal business platforms replacing spreadsheets and manual workflows Scheduling and operational systems Customer portals and self-service platforms API-heavy applications with multiple third-party integrations AI-powered document and knowledge management systems Technologies Backend: Node.js, TypeScript, NestJS Cloud: AWS Serverless, Docker, Kubernetes, AWS Lambda, API Gateway, DynamoDB, EventBridge, SQS, Cognito, S3, SES, CloudWatch, OpenSearch Databases & Search: DynamoDB, PostgreSQL, OpenSearch, Supabase AI: OpenAI, Claude, LangChain, RAG Architectures, AI Agents Integrations: OAuth, OpenID Connect, Cognito, Webhooks, Third-Party APIs Who I Work Best With SaaS founders Startup teams Growing businesses replacing manual processes Companies adding AI capabilities to existing products Teams that need both technical architecture and implementation If you're building a SaaS product, AI-enabled platform, workflow system, or custom business software, send me a brief overview of what you're building, who will use it, and your target timeline.

🏆 AWS Certified Solutions Architect | DevOps & Cloud Infrastructure Expert 🏆 10+ Years of Experience | AWS | Terraform | Docker | Cloud Migrations | Security & Cost Optimization I’m Simran Sangha, an AWS Certified Solutions Architect with over a decade of experience designing, deploying, and managing robust, scalable, and secure cloud infrastructures. I help businesses modernize their systems, cut costs, and boost performance using a DevOps-first approach across AWS, Azure, and GCP. ✅ Core Competencies: 🔹 Cloud Infrastructure & Automation Expert in provisioning and managing AWS environments: EC2, VPC, ELB, S3, RDS, Route 53, CloudWatch, CloudFormation, Auto Scaling Infrastructure as Code using Terraform and AWS CloudFormation Containerization with Docker and orchestration with ECS / EKS / Docker Compose 🔹 Security & Compliance Hardened cloud environments with WAF, Inspector, CloudTrail, AWS Config, IAM Policies, and Trusted Advisor Mitigation of common attack vectors: DDoS, SQL Injection, XSS 🔹 Monitoring & Logging Real-time monitoring via CloudWatch, Dynatrace, and custom log pipelines with Kinesis Firehose → Elasticsearch → Kibana Set up of Nagios, Check_MK, and custom alerts for infrastructure health 🔹 Cloud Migrations Seamless migration of Linux-based environments (RHEL, Ubuntu) to AWS Integrated auto-scaling, VPN, and hybrid cloud strategies for smooth transition 🔹 Cost Optimization Worked with stakeholders to cut cloud spend by 20–40% through smart resource management and reserved instances 🧰 Tools & Technologies: DevOps & Automation: Terraform, CloudFormation, Jenkins, Git, Ansible Containers: Docker, Docker Compose, ECS, EKS Cloud Providers: AWS (expert), GCP & Azure (intermediate) Monitoring: Dynatrace, Nagios, Check_MK, CloudWatch Database: MySQL, Oracle – migrations, tuning, and user security Traffic Analysis: Cisco Stealthwatch, AWS VPC Flow Logs 🚀 Project Highlights: Deployed high-availability architectures across multi-AZ AWS environments with auto-scaling and failover strategies Migrated on-prem resources to cloud, establishing secure site-to-site VPNs and hybrid connectivity Optimized DNS and CDN setups using Route 53 and CloudFront for faster global delivery Secured data-in-transit and at-rest via SSL/TLS, EBS encryption, and access control best practices Built robust CI/CD pipelines for infrastructure deployment and automated configuration management Let’s work together to modernize your infrastructure, boost uptime, and cut costs—without compromising security or performance. 📩 Message me today to discuss your project! Best regards, Simran Sangha

Top Rated DevOps & Backend Engineer with 5+ years shipping production infrastructure for SaaS startups, fintech, and e-commerce platforms. I'm the engineer your team calls when production needs to stay up. WHAT I'VE ACTUALLY SHIPPED (not promises — real production work): → Multi-tenant SaaS infrastructure running 49+ days uninterrupted uptime, 2,377 malicious IPs auto-blocked, 23/23 UAT scenarios passed on cutover. Docker + Nginx + Cloudflare + Grafana stack. → Production AWS data pipeline for Baxter International — EC2 + Terraform + GitHub Actions + AWS Secrets Manager. Zero secrets in git, IAM least-privilege, fully reproducible from cold start. → PHP 8.1 + MySQL + Stripe Checkout rebuild for a wholesale marketplace — 265/265 tests passing across unit, integration, HTTP, and security suites. 9,758-customer production database verified untouched on cutover. → Full Next.js + MongoDB marketplace shipped end-to-end with JazzCash payment integration, JWT auth, DKIM/SPF/DMARC email, signed Android TWA APK. 29/29 smoke tests on every deploy. HOW I WORK: • Spec-first — endpoints, data models, migration plan, rollback steps written before any code is shipped • Migration safety as default — every schema change reviewed for lock behaviour, backwards-compat, and rollback path • Stop-the-line authority — I block PRs that aren't ready, including from senior stakeholders, with clear written reasons • Runbooks anyone can follow — deploy steps, rollback steps, and incident playbooks live in the repo as Markdown • Async-first communication — release notes, post-mortems, and ADRs so the next person on call doesn't need to ping me STACK I RUN IN PRODUCTION DAILY: AWS (EC2, ECS, S3, RDS, IAM, Secrets Manager, Lambda) · GCP (Cloud Run, Cloud SQL, Cloud Build) · Terraform · Docker · GitHub Actions · Nginx · PostgreSQL · MongoDB · MySQL · Redis · Python (Django, FastAPI) · Node.js · Next.js · PHP 8.1 · Cloudflare · Grafana / Prometheus · Loki · Sentry I'm based in Karachi and operate as an independent contractor through SynTechOps LLC (Wyoming, USA) — comfortable working US/EU/UK overlap hours. Available for long-term retainers, fixed-fee projects, and contract-to-hire engagements. Best fit if you need an engineer who'll own a system end-to-end and write down what they did.

I build cloud infrastructure that you can leave alone. Predictable, reproducible, auditable. Not held together with manual ClickOps and dread. Most teams I work with come to me when one of three things is happening. The AWS bill keeps climbing every month and nobody can explain why. I cut waste on real client workloads by moving idle EC2 to scheduled start and stop, replacing NAT Gateways with VPC endpoints (saves around $35 per month per environment, before traffic), right sizing instances, and surfacing waste with proper tagging and Cost Explorer dashboards. Production was set up in the console two years ago and now nobody dares touch it. I migrate ClickOps environments into Terraform without breaking running services. Module based, workspace driven, with state in S3 and DynamoDB locking. The handover is a repo your team can read, not a black box only I understand. The infrastructure works but it is exposed in places it should not be. I have moved public ALBs to private origins behind CloudFront and WAF, replaced shared IAM users with role based access, locked down security groups, and put secrets in Secrets Manager instead of environment files. Boring, careful work. The kind that prevents the 3 AM call. What I work with daily: - AWS — ECS Fargate, RDS, Aurora, S3, CloudFront, Route 53, Cognito, Secrets Manager, SQS, Lambda, EC2, VPC, IAM, WAF, CloudWatch - Terraform — custom modules, workspace structure, multi account setups, S3 and DynamoDB state - CI/CD — GitHub Actions, GitLab CI, automated database migrations, container scanning - Python — FastAPI services, Celery workers, automation scripts, infrastructure tooling - Security — Cognito with JWT auth, VPC design without NAT, IAM least privilege, audit logging - Containers — Docker, ECS Fargate (Spot and on demand), private ECR Recent work: - Built a battery storage SaaS platform on AWS. FastAPI plus Celery, dual queue ECS Fargate workers (Spot for short jobs, on demand for long ones), Cognito auth, full Terraform from scratch. - Architected a private ML training platform on OVH. GPU workers, Celery, Tailscale private networking, S3 compatible object storage. - Self hosted infrastructure deployment on a Swiss vServer. Docker stack with Keycloak SSO, Traefik with Let's Encrypt, GitLab CI/CD. - Migrated multiple client workloads from public ALBs to private origins behind CloudFront and WAF. - Built scheduled EC2 start and stop automation for a workflow stack to cut idle compute cost. How I work: - Everything goes in Terraform. If it is not in code, it does not exist. - I write things down. Runbooks, decision logs, architecture diagrams. The next person on the project should not need to call me. - I would rather flag a risk early than discover it during a deploy. - If I think the scope is wrong or the approach will not hold up, I will say so. You are paying for judgment, not just hands. Background includes 9 AWS certifications across architect, security, networking, and devops tracks, plus internships at Deutsche Bank and ING Hubs on the Java backend side, and ongoing freelance work across AWS infrastructure, security migrations, and platform engineering. If you are trying to clean up production, get out of ClickOps, cut your AWS bill, or build a new platform from scratch, happy to talk. If your project is more "throw a script together fast and do not worry about it later," I am probably not the right fit.

🎯 Expert DevOps | AWS | Docker | CI/CD | Python Scripting | Full stack development ✮✮✮✮✮ 5 Star Reviews ✮✮✮✮✮ 🕓🚀 Long term working relationship I am an experienced DevOps engineer with the ability to build up infrastructures, continuous deployment pipelines, monitoring from the ground up. If you just started a new project and you need someone to give your devs a stable infrastructure and deployment pipeline to work with, I am the guy you are looking for. What's on Offer: ✅ Seamlessly automated DevOps (in Docker, Kubernetes,Terraform, Ansible). ✅ AWS Cloud mastery for performance ✅ From APIs to data pipelines, I whip up efficient Python backends using Django, Flask ✅ Proactive monitoring and maintenance. Why Choose Me? ✔️ Clear and Transparent communication ✔️ Agile in nature ✔️ Quality-focused and client-centered ✔️ Quick Responsive ✔️ Ready for any complex challenges with its best solutions My top objective is to develop long-term client connections. I am always on time and dedicated to meeting deadlines and providing excellent work. To discuss your amazing initiatives and take your business to new heights, contact 𝐑𝗲𝗮𝗰𝗵 𝗼𝘂𝘁 𝘁𝗼 𝗺𝗲 𝗧𝗢𝗗𝗔𝗬.

Certifications: Linux Professionals Institute - LPIC-1 AWS Certified SysOps Administrator - Associate AWS Certified DevOps Engineer - Professional I am a Senior DevOps / Cloud Infrastructure Engineer specializing in AWS architecture, production reliability, compliance readiness (SOC 2 / ISO 27001), and scalable multi-environment infrastructure. I help startups and growing SaaS companies stabilize, secure, and scale their AWS environments — often stepping in to audit, fix, and modernize existing infrastructure. To date, I have: • Designed and restructured multi-account AWS environments (dev/staging/prod isolation) • Built and maintained ECS Fargate production clusters • Migrated legacy servers to containerized workloads • Implemented Terraform-based Infrastructure as Code across multiple organizations • Led SOC 2 readiness initiatives including security hardening and risk remediation • Recovered unstable production systems under live traffic AWS Architecture (Advanced) • Multi-account architecture (Organizations, SCPs, IAM boundaries) • ECS Fargate, EC2, ALB/NLB, Auto Scaling • RDS (Aurora Serverless v2), MySQL/Postgres optimization • S3, CloudFront, WAF, Route53 • VPC design, subnet isolation, NACL hardening • Secure parameter management (SSM, Secrets Manager, KMS) • CloudWatch monitoring, alerting, log aggregation DevOps & Automation • Terraform (modular, environment-aware design) • GitHub Actions & CI/CD architecture • OIDC-based GitHub → AWS authentication • Ephemeral preview environments per PR • Blue/Green & zero-downtime deployments • Docker production optimization • Cost optimization & AWS spend audits Security & Compliance • SOC 2 Type I / II preparation • IAM least-privilege design & MFA enforcement • Encryption at rest & in transit (KMS, TLS policies) • Secrets rotation & audit logging • Risk assessments & remediation roadmaps • Security architecture documentation Databases & Data Operations • Production MySQL / Postgres migrations • CouchDB clustered deployments (n=3, q=8) • Shard recovery & disaster recovery planning • Backup validation & restore testing • Schema migrations (Alembic, Laravel, etc.) I do not apply superficial fixes. I audit environments thoroughly, document risk exposure, and implement long-term infrastructure improvements designed for scalability, security, and operational clarity. If you need a senior-level DevOps engineer who understands production systems, compliance pressure, and business continuity, I would be glad to assist.

I am a 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 with deep expertise in Kubernetes, Infrastructure as Code, CI/CD automation, and Python scripting. Over the past 5+ years, I’ve built, automated, and optimized scalable cloud environments across AWS, Azure, and hybrid infrastructures. I help teams deploy faster, cut costs, and achieve enterprise-grade reliability by leveraging cloud-native tools and automation. From designing Kubernetes clusters to implementing Terraform/Terragrunt workflows, my goal is to create infrastructure that is secure, resilient, and easy to maintain. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Kubernetes (EKS/AKS), Helm, Docker, Terraform, Terragrunt, GitHub Actions, Azure DevOps Pipelines, Ansible, AWS CodePipeline, GitLab CI/CD 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: IAM, RBAC, SSO, Aqua Security, Cloudflare, Prometheus, Grafana, CloudWatch, DataDog, Disaster Recovery Planning 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 & 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: Python (automation, integration, clean scripting), Bash 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS (EC2, RDS, S3, Lambda, IAM, CloudFormation), Azure (Azure DevOps, ADF, Monitor, Defender), Google Cloud (Compute, IAM, BigQuery) 𝐀𝐠𝐢𝐥𝐞 & 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Git, GitHub, Jira, Trello, Scrum, Agile, Continuous Delivery practices What You Can Expect When Working With Me: ✔ High Availability: 99.9% uptime through fault-tolerant, containerized cloud infrastructure ✔ Optimized Costs: 30-40% savings via smart scaling & automated provisioning ✔ Reliable Deployments: CI/CD pipelines that are fast, automated, and rollback-ready ✔ Future-Proof Infrastructure: Infrastructure-as-Code foundations built with Terraform & Kubernetes ✔ Secure Cloud Environments: Compliance-focused access control, monitoring, and backup policies Let’s Collaborate: If you’re looking for a partner who can translate business goals into cloud-native, automated solutions, I’d be glad to help. I prioritize clear communication, rapid response, and results you can measure. Let’s connect and transform your infrastructure into a scalable, secure, and cost-efficient engine for growth.

9x AWS Certified, I'm Good at what I do. Get Your Cloud & DevOps Challenges Solved by an Certified Cloud Expert! Hi, I’m Dickson Victor, a seasoned DevOps Engineer/ Solutions Architect with over 7 years of hands-on experience and extensive certifications across AWS, Microsoft Azure, and Google Cloud Platform (GCP). I have helped dozens of startups deploy their workloads on the cloud leveraging various cloud services. My expertise lies in designing, implementing, and optimizing scalable, secure, and cost-effective cloud architectures for modern enterprises. I am passionate about leveraging automation, cloud-native solutions, and DevOps practices to drive business value. I ensure seamless system operations, enhanced performance, and robust security, all while adhering to industry best practices. __What I Will Do for You:__ • Design and implement CI/CD pipelines for faster delivery. • Automate infrastructure provisioning using Terraform, Ansible, and other tools. • Optimize cloud infrastructure costs and performance. • Administer and monitor cloud platforms (AWS, Azure, GCP). • Configure robust monitoring and alerting systems for infrastructure and applications. • Implement Kubernetes clusters and containerized deployments. • Perform database provisioning and management for cloud environments. • Secure infrastructure with best-in-class IAM configurations and network security protocols. __Key Skills & Tools:__ • CI/CD & Automation: Jenkins, GitHub Actions, Azure DevOps, Google Cloud Deploy, AWS CodePipeline. • Infrastructure as Code: Terraform, CloudFormation, Azure Resource Manager. • Monitoring & Logging: Prometheus, Grafana, Azure Monitor, CloudWatch, Google Cloud Monitoring. • Containerization: Docker, Kubernetes (Certified Kubernetes Administrator). __Cloud Platforms:__ • AWS: Amplify, Lambda, ECS, EKS, Elastic Beanstalk, CloudFormation, CodeStar, and more. • Azure: AKS, Azure Functions, Azure Automation, Azure App Service, and more. • GCP: GKE, Cloud Run, Cloud SQL, Artifact Registry, Cloud Operations, and more. __Certifications:__ • AWS Certified Solutions Architect -- Professional -- 2025 • Certified Kubernetes Administrator (CKA) – 2023 • AWS Certified DevOps Engineer – Professional – 2023 • Google Cloud Professional DevOps Engineer – 2024 • Azure DevOps Engineer Expert – 2023 • And many more! __Why Work with Me?__ • Proven track record with top organizations like Zuellig Pharma, and Cloudplexo, an advanced tierAWS Partner. • Multi-cloud expertise backed by 11+ industry certifications across DevOps, networking, Machine Learning and cloud platforms. • Trained over 200 professionals in advanced DevOps and cloud practices. • Strong problem-solving mindset, ensuring I deliver tangible business outcomes. • I’m committed to getting the job done—no compromises, no shortcuts. • Let’s Build Something Great Together! If you're looking for a DevOps professional who can deliver results, reduce deployment cycle time, and optimize your cloud environment, feel free to reach out. Let’s discuss how I can help take your project to the next level!

I'm a Senior DevOps & Cloud Infrastructure Engineer with 6+ years of hands-on experience building, securing, and automating cloud infrastructure on AWS, GCP, and Azure. I specialize in: ✅ AWS infrastructure (ECS Fargate, EKS, RDS, S3, Lambda, Bedrock, Cognito, API Gateway, EventBridge, SQS, CloudTrail, CloudWatch, IAM, Secrets Manager, CodeDeploy, Control Tower) ✅ DevSecOps & Security (AWS WAF, Network Firewall, VPC architecture, SIEM/Wazuh, CJIS compliance, Site-to-Site VPN) ✅ Kubernetes & Containers (EKS, ECS, Helm, Docker, Argonaut) ✅ Infrastructure as Code (Terraform, AWS CDK) ✅ CI/CD Pipelines (GitHub Actions, CodePipeline, Bitbucket Pipelines) ✅ Monitoring & Observability (Prometheus, Grafana, Alertmanager, CloudWatch) ✅ Self-hosted PaaS (Coolify, Dokploy, Caprover) ✅ Shopify App Deployment (OAuth, CSP headers, webhooks, reverse proxy) ✅ GenAI Infrastructure (AWS Bedrock, RAG pipelines, Terraform modules for Bedrock Agents) Recent highlights: 🔹 Redesigned AWS VPC architecture with centralized egress/ingress via Network Firewall — resolved critical production security audit findings 🔹 Built production-ready Terraform module for AWS Bedrock GenAI infrastructure (RAG stack) used across Dev/Test/Prod environments 🔹 Designed HA Kubernetes clusters on Scaleway with Cloudflare failover, WireGuard VPN DR, and automated Helm/Terraform CI/CD 🔹 Deployed complete monitoring stack (Prometheus + Grafana + Alertmanager) with smart alerting for production workloads I work with startups and enterprises across SaaS, healthcare, fintech, and e-commerce. Whether it's a greenfield cloud setup, a security hardening project, or a CI/CD pipeline overhaul — I deliver clean, documented, production-ready work. Top Rated Plus on Upwork | 96% JSS | $21K+ earned