100% Job Success Score I build rock-solid, cloud-ready back-ends in Python and keep them running with first-class DevOps, APIs, micro-services, CI / CD, Docker/Kubernetes, IaC, observability – you get the whole package, plus enough front-end skill to integrate seamlessly with React or Vue teams. Core Technical Stack Languages :- Python 3.x** (10 y), TypeScript, Bash | Frameworks :- Django • DRF, FastAPI, Flask, Celery | |Datastores :- PostgreSQL, MySQL, Redis, MongoDB | Cloud / DevOps:- AWS (ECS, Lambda, RDS, S3, …); GCP; Docker; **Kubernetes** (EKS/GKE); Terraform & Pulumi CI / CD :- GitHub Actions, GitLab CI, Jenkins, Azure pipelines, Google cloud build Observability :- Prometheus, Grafana, Loki, ELK, OpenTelemetry | Front-end glue :- React, Next.js, Tailwind – enough to wire up back-end payloads and build admin panels Testing :- Pytest, Tox, Coverage > 95 %; contract tests with Pydantic/FastAPI schemas, Automation testing with playwright 🧩 Typical ways I add value 1. Green-field MVPs – design the data model, choose the right Python framework, stand-up a CI pipeline & ship v1 inside weeks. 2. Legacy rescue – untangle monoliths into containerised services, replace ad-hoc scripts with repeatable IaC, improve deployment time from hours to minutes. 3. Scale-up accelerators – introduce async FastAPI, Redis queues, and horizontal autoscaling to handle 10× user growth with zero downtime. 4. Developer-experience upgrades – pre-commit hooks, conventional commits, automated versioning & tagging, opinionated Docker dev-containers. 🛠 My working style 1. Consultative first – I’ll challenge requirements, not just implement them. 2. Documentation matters – every repo ships with a Makefile, a one-command local dev setup, and architecture ✧ sequence diagrams. 3. Transparent estimates & over-communication** – daily updates, demoable progress twice a week. 4. Security by default** – OWASP, 12-Factor, encrypted secrets, least-privilege IAM baked in. 🤝 What you can expect when you hire me *Fast onboarding – I skim your README, run the stack, identify quick wins within the first day. *Senior-level autonomy – create epics, prioritise tasks, own delivery so you can focus on the business. Everything with be tracked and shared to you on daily basis plus will share the weekly report each Friday to have insight about the progress. *Production-grade quality – unit & integration tests, GitOps workflows, auto-rollbacks. *Knowledge transfer – hand-over docs, recorded Loom walkthroughs, pair-sessions for your devs. ✅ Let’s build something Whether you need a lightning-fast API, a resilient micro-service architecture, or a full CI / CD pipeline that deploys on every commit, I’m ready to jump in. Click “Invite to Job” or send me a message and I’ll reply within 24 hours with a concise plan tailored to your requirements. *(Available 30–40 hrs / week, UTC+5:30, fluent English.)*

Hi! I am Abraham, a seasoned Cloud Solutions Architect & DevOps Manager with 10+ years of experience across AWS, GCP, and Azure, helping companies build, scale, and secure their cloud-native applications. I’ve led cloud migrations, architected SaaS platforms, and delivered CI/CD, IaC, monitoring, and cost optimization strategies that drove uptimes of 99.99%, reduced deployment times by 40%, and slashed infra costs by up to 20%. Whether you’re launching your first app or scaling enterprise-grade infrastructure, I’m here to make cloud work faster, smarter, and more secure for you. 💼 Key Expertise: 🔧 Cloud Architecture (AWS, Azure, GCP) ⚙️ DevOps Automation (CI/CD, IaC, Infra Scaling) 🔒 Security & Compliance (IAM, SOC 2, HIPAA, GDPR) 📊 Monitoring & Observability (Prometheus, Grafana, CloudWatch) 🧱 SaaS Platform Engineering, multi-cloud & hybrid-cloud 🛠️ Tools & Technologies: ✅ Kubernetes, OpenShift, Docker, Docker Compose, Helm ✅ Terraform, Pulumi, AWS CloudFormation, AWS CDK, Ansible, Chef ✅ Jenkins, GitLab CI/CD, GitHub Actions, Azure DevOps ✅ Prometheus, Grafana, CloudWatch, Azure Log Analytics ✅ Amazon Web Services (EC2, S3, Lambda, RDS, IAM, EKS, ECS, CloudFront, Route 53, SQS, SNS, Lightsail) ✅ Microsoft Azure (AKS, App Service, File Storage) ✅ Google Cloud Platform (GKE, Cloud Run, GCLB, GCS) ✅ WordPress (Infra provisioning and optimization) 🏆 Why Work With Me? 💡 Architected production-grade cloud solutions used by organizations like FIFA, Australian Open, and Fortune 500 companies. 🚀 Led DevOps teams to success with a focus on automation, cost-efficiency, and uptime. 🧠 Deep experience in cloud cost optimization, multi-cloud strategy, and incident response planning. 🤝 Professional, transparent, deadline-driven, and always aligned with your business goals. 💬 Whether you're a startup, enterprise, or growing SaaS business, I’m your go-to expert for cloud strategy, DevOps transformation, and infrastructure that just works. 📩 Ready to scale smartly? Let’s connect and bring your cloud vision to life.

- 8+ years of DevOps/Cloud experience - 40+ satisfied clients, including a 100% job success rate and Top Rated on Upwork - Certified Kubernetes Application Developer - AWS Certified DevOps Engineer Professional - Certified Google Cloud Architect Professional - Lead DevOps/Cloud Engineer - 8+ years of experience in IT - Conduct public workshops and provide consultation An enthusiastic DevOps and Cloud Engineer with extensive experience in Containerization, Continuous Integration, Continuous Deployment, Infrastructure as Code, and Monitoring Solutions. I am an AWS, GCP, and Kubernetes-certified engineer with experience in implementing automation in different phases of the Software Development Life Cycle. I also possess experience in infrastructure in the cloud and deployment of applications on on-premises and cloud servers. I work on the following technologies : Clouds ===== AWS, GCP, AZURE, and DigitalOcean Containerization ============ Docker, Kubernetes, docker-compose, GKE, AKS, EKS, Helm, Crossplane CI/CD ===== Github Actions, Gitlab CI, Bitbucket pipelines, Tekton, ArgoCD, CircleCI, Jenkins Infrastructure As Code ================= Terraform, CloudFormation, Pulumi, ARM Programming/Scripting Language ================== Python, Bash, NodeJS, Golang Monitoring & Logging =============== Prometheus, Grafana, ELK stack, Cloud Logging, CloudWatch Logging, Kibana I also possess key soft skills such as communication, self-learning, self-management, and leadership, which are crucial for any role. I am also fluent in English and easy to get along with. For more details, you are always welcome to contact me.

I am a Senior DevOps Engineer with 5+ years of hands-on experience designing, implementing, and managing scalable, secure, and high-performance cloud infrastructures. I specialize in AWS, GCP, and Azure, delivering solutions that reduce costs, improve reliability, and meet enterprise-level requirements. I have successfully managed industrial and enterprise-grade cloud projects, delivering reliable, secure, and cost-effective cloud solutions. My approach aligns with your business goals and budgets, helping reduce infrastructure costs while improving system performance. I combine technical expertise with clear communication, thorough documentation, and a collaborative approach, ensuring every project is delivered efficiently and meets your objectives. ✅ Core Expertise: Cloud Platforms: * AWS: EC2, ECS, S3, IAM, Lambda, Route 53, RDS, CloudFront, ALB, NLB, CloudWatch, VPC, Auto Scaling * GCP: GKE, GCE, Cloud SQL, BigQuery, Cloud Functions, Cloud Storage, Load Balancing, Cloud CDN, Stackdriver Monitoring * Azure: AKS, Virtual Machines, Azure SQL, App Services, Azure Functions, Front Door, Azure Monitor, Blob Storage, Load Balancer CI/CD & Automation: * Jenkins, GitLab CI, GitHub Actions, CircleCI, ArgoCD for fast, reliable, and error-free deployments Containerization & Orchestration: * Docker, Kubernetes (EKS, GKE, AKS), OpenShift, Helm for seamless deployment, scaling, and management Infrastructure as Code (IaC): * Terraform, Ansible, CloudFormation, Pulumi for automated and versioned infrastructure provisioning Serverless & Automation: * AWS Lambda, Fargate for cost-efficient and scalable workflows Linux Administration & Scripting: * Linux (Ubuntu, CentOS), Bash, Python, Apache, Nginx, SonarQube Database Management: * SQL & NoSQL: PostgreSQL, MySQL, MongoDB, Redis for high performance, caching, reliability, and scalability 💼 Services I Offer: * Cloud Infrastructure Design & Deployment: Build secure, scalable, and highly available cloud systems tailored to your business needs. * Cloud Migrations: Smooth, risk-free migrations to AWS, GCP, or Azure with minimal downtime. * CI/CD Pipelines: Design and implement automated, error-free pipelines for web, mobile, and backend applications. * High Availability & Scalability: Ensure your applications handle traffic peaks and growth seamlessly. * Infrastructure Optimization: Reduce operational costs while maintaining top-tier performance. * Compliance & Security: Implement solutions adhering to PCI DSS, HIPAA, GDPR, and other industry standards. 🌟 Why Hire Me: * Deliver automated, scalable, and secure cloud solutions * Reduce infrastructure costs and improve system performance * Provide clear communication and thorough documentation for long-term collaboration * Handle high-traffic workloads and enterprise environments efficiently * Quickly resolve bugs, performance issues, and infrastructure errors * Experienced in cloud-native monitoring, alerting, and best DevOps practices 🚀 Let’s Build Your Cloud Solution. I am ready to turn your project into a reliable, scalable, and optimized cloud infrastructure. Whether it’s cloud migration, automation, CI/CD, or Kubernetes deployment, I can deliver professional, enterprise-ready results. 💬 Let’s connect, discuss, and hire now to start building optimized, reliable, and scalable cloud solutions.

Are your cloud costs too high? Is your deployment pipeline slow, fragile, or manual? I'm an AWS Certified DevOps Engineer with 10+ years of experience helping startups and enterprises cut cloud spending by 40%+, automate deployments, and achieve zero-downtime delivery. What I deliver: ✅ Cloud Cost Optimization — Rightsizing, auto-scaling, spot instances, budget alerts. Clients save $2K–$20K/month. ✅ CI/CD Pipelines — GitHub Actions, Jenkins, GitLab CI, ArgoCD. From 4-hour manual deploys to 15-minute automated releases. ✅ Infrastructure as Code — Terraform, Pulumi, AWS CDK. Reproducible, version-controlled infrastructure across all environments. ✅ Kubernetes & Containers — EKS, AKS, Docker. Production-grade orchestration with auto-scaling and health monitoring. ✅ Monitoring & Security — Prometheus, Grafana, ELK Stack, CloudWatch. HIPAA/SOC2/GDPR compliant environments. How I work: Clear milestones and daily communication Documentation included with every engagement Available for urgent/emergency requests Tech Stack: AWS • Azure • GCP • DigitalOcean • Terraform • Kubernetes • Docker • Helm • GitHub Actions • Jenkins • ArgoCD • Prometheus • Grafana • ELK Stack 💬 Message me with your challenge — I'll respond within 1 hour with a clear plan.

You bring the AI idea. I turn it to life in weeks, not months, then wire it into the tools you already run your business on. Before I write a single line of code, I understand why the feature exists and who's stuck without it. That saves you a lot of time and paying me to build the wrong thing. My core strength is system design. I shape the solution around your need and constraints instead of forcing the one I already know. Bending to the problem is how I keep widening what I can build rather than staying inside what I've done before. Some of the technologies I've worked in include: - Frontend: TypeScript, Next.js, React, React Native - Backend: Node.js, NestJS, Express, Python (FastAPI, LangGraph) - AI layer: RAG, MCP servers, multi-model orchestration (GPT, Claude, Gemini), voice agents - Infra: AWS, Pulumi, Docker, CI/CD - Integrations: Stripe, Twilio, GoHighLevel, Meta APIs What you get: - A product that actually ships, not a demo that stalls at 80%. - Code and infrastructure you fully own, documented so the next dev isn't lost. - One person who builds the whole thing, so you're not translating between a frontend dev, a backend dev, and a DevOps guy. - Honest scope. If a feature isn't worth the money, I'll tell you before you spend it. - Something built around the real problem, so it still works when usage grows. Got an MVP or an automation that needs to ship? Send me the why and I'll tell you the shortest path to it.

I’m a senior AI-first full-stack developer who builds and ships production-ready SaaS and AI applications fast, without sacrificing architecture or maintainability. I specialize in “vibe coding” workflows — combining modern AI coding tools with deep engineering judgment to deliver products 2–3× faster than traditional teams. Highlights Top Rated Plus with 100% Job Success Worked with Fortune 90 companies & Silicon Valley startups Built products with 30,000+ users/downloads Known for fast execution, clean systems, and founder-level ownership I respond within 1 hour and work like a technical co-founder, not a task-taker. What I Build Best AI-powered SaaS platforms Internal tools & operational systems MVPs → production systems Partner portals & dashboards Automation-heavy apps (AI + workflows) Complex business-logic products (not just UI) AI & Vibe Coding Stack I use AI tools as force multipliers, not crutches: Cursor AI Capacitor N8N Make GitHub Copilot Claude / GPT Replit Claude Code Github Copilot Claude Cowork Claude Opus Open claw Base 44 Bolt Lovable SuperMaven Figma AI This lets me: Prototype fast Iterate safely Ship clean, testable code Maintain long-term scalability Core Technical Skills Frontend React.js, Next.js, Vue.js, Svelte, Angular TypeScript, Tailwind, Responsive UI Complex dashboards & workflows Backend Node.js, Express, NestJS Python (FastAPI, Django, Flask) Supabase, Firebase REST & GraphQL APIs Databases PostgreSQL, MySQL, MongoDB, SQLite Schema design & performance optimization AI & Automation OpenAI, LangChain AI agents, structured outputs Workflow automation (n8n, Make, custom engines) Cloud & DevOps AWS, Azure, GCP Docker, CI/CD pipelines Infrastructure-as-Code (Terraform, Pulumi) Why Clients Choose Me End-to-end ownership (idea → deployment) Strong product thinking, not just coding Clear communication & weekly updates Fast, reliable delivery under pressure Systems built to scale, not break “I don’t just write code — I help you build products that actually ship, sell, and grow.”

Solutions Architect with 8+ years delivering cloud-native infrastructure, backend systems, and production AI pipelines across AWS, Azure, and GCP. Here are a few things I've shipped recently: - Built a real-time data pipeline on Microsoft Azure ingesting and processing over 5 million data points daily reduced processing lag from 3 hours to under 10 minutes. - Designed a multi-region EKS setup on AWS with Karpenter autoscaling and ArgoCD GitOps, cutting infra costs by 35% while improving deploy frequency from weekly to daily. - Built a production RAG pipeline (LangChain + Pinecone + FastAPI) for a SaaS client processing 200k+ documents, cutting query latency from 4s to under 800ms. - Architected a NestJS + TypeScript microservices backend with BullMQ async workers and Prisma ORM, migrated from a monolith with zero downtime in 6 weeks. INFRASTRUCTURE & DEVOPS Kubernetes, EKS, AKS, GKE, Terraform, Ansible, Pulumi, CloudFormation, Docker, Helm, Kustomize, Istio, Karpenter, ArgoCD, FluxCD, Flagger, GitHub Actions, GitLab CI/CD, Jenkins, Blue-Green, Canary, Progressive Delivery, Prometheus, Grafana, Thanos, Loki, OpenTelemetry, Datadog, ELK Stack, Snyk, Vault, OPA, Falco, SOC 2, ISO 27001, GDPR PYTHON FastAPI, Django, Celery, SQLAlchemy, Pydantic, Pandas, Polars, PySpark, Dask, Airflow, Prefect, Boto3, Pytest NODEJS NestJS, Fastify, Express, BullMQ, Socket IO, Prisma, TypeScript, Zod, Jest AI / LLM / MLOPS LangChain, LlamaIndex, Haystack, OpenAI API, Anthropic Claude API, AWS Bedrock, Azure OpenAI, Vertex AI, vLLM, Hugging Face TGI, Triton, Pinecone, Weaviate, Qdrant, pgvector, Milvus, MLflow, Kubeflow, SageMaker, DVC, Weights and Biases, LoRA, QLoRA, PEFT, RLHF, RAG, Hybrid Search, Prompt Engineering DATABASES & MESSAGING PostgreSQL, MySQL, MongoDB, Redis, Cassandra, DynamoDB, CockroachDB, Snowflake, BigQuery, ClickHouse, Kafka, RabbitMQ, SQS, NATS, Redis Streams FRONTEND & API React, NextJS, TypeScript, Tailwind CSS, GraphQL, gRPC, tRPC, REST, WebSockets SERVICES - Cloud Architecture Design and Review (AWS, Azure, GCP) - Kubernetes Setup, Hardening and Optimization - CI/CD Pipeline Design and GitOps Implementation - IaC with Terraform, Ansible and CloudFormation - Python Microservices, FastAPI, Celery, Async workers - NodeJS Services, NestJS, Fastify, BullMQ, real-time APIs - LLM Serving, vLLM, TGI, Bedrock, Azure OpenAI - RAG Pipeline Design and Vector DB Architecture - MLOps, MLflow, Kubeflow, SageMaker pipelines - Full-Stack AI Application Development - DevSecOps, Snyk, Vault, Falco, SOC 2, ISO 27001 - Monolith-to-Microservices Migration - Multi-region HA and Disaster Recovery - Cost optimization audits, AWS, Azure, GCP - Architecture Documentation and Technical Due Diligence I've been in the weeds on enough projects to know what works and what doesn't. If you want honest advice and solid execution, drop me a message and I'm easy to work with.

Most clients find me after wasting weeks on engineers who deploy fast but leave security gaps, brittle scripts, and zero documentation behind. Well, I do the opposite. I'm a DevSecOps engineer with 7+ years building cloud infrastructure that is production-hardened from day one, not secured as an afterthought. AWS, Kubernetes, CI/CD, secrets management, container security, GDPR-compliant workflows, all of it built clean and documented properly. I'm also one of the few engineers who builds AND secures AI agent systems. LangChain, CrewAI, RAG pipelines, MCP servers, I understand the attack surface of modern AI infrastructure that most security engineers have never touched. 🔐 Security & DevSecOps 🔹 Linux Hardening: firewalls, iptables, SSH lockdown, fail2ban, SSL/TLS 🔹 Secrets Management: HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager 🔹 Container Security: Docker Hardening, Kubernetes RBAC, Network Policies, Pod Security Standards 🔹 Server Management: WHM, cPanel, Plesk, Webmin, Virtualmin 🔹 GDPR-ready Workflows: encrypted APIs, secure backups, access control 🔹 CI/CD Security: secrets scanning, signed images, GitHub Actions, GitLab CI, Jenkins ☁️ Cloud Infrastructure & DevOps 🔹 AWS, GCP, Azure, DigitalOcean: deployment, scaling, cost optimization 🔹 Infrastructure as Code: Terraform, Pulumi, Ansible 🔹 CI/CD pipelines: GitHub Actions, Jenkins, GitLab CI 🔹 Container orchestration: Docker, Kubernetes, Helm 🔹 GitOps: ArgoCD, Flux 🤖 AI Infrastructure & Automation 🔹 Multi-agent systems: LangChain, LangGraph, CrewAI, AutoGen 🔹 Model Context Protocol (MCP) server integration 🔹 RAG pipelines & vector search: Pinecone, Qdrant, Weaviate, ChromaDB 🔹 LLM app builders: Dify.ai, Flowise 🔹 Multi-model routing: OpenRouter 🔹 AI agents: Claude, ChatGPT, Gemini, Azure OpenAI, AWS Bedrock 🔹 Local LLMs: Ollama, Mistral, Llama on Linux servers 🔹 Workflow automation: n8n, Make, Zapier, APIs & webhooks 💻 Full Stack & WordPress 🔹 Backend: Laravel, Node.js, Java, NestJS, Python, Go 🔹 Databases: PostgreSQL, MySQL, MongoDB, Redis 🔹 WordPress: Elementor, Divi, Bricks, Oxygen, WP-CLI, Gutenberg, Headless WordPress 📊 Monitoring & Reliability 🔹 Observability: Prometheus, Grafana, OpenTelemetry, ELK Stack, Sentry, CloudWatch 🔹 Automated backups: Rclone, AWS S3, GCP buckets 💼 You're a great fit if you are: 🔹 A startup that needs infrastructure secured from day one 🔹 An agency that wants one reliable long-term technical partner 🔹 A business running AI agents that needs someone who understands both the build side and the security risks Tell me what you're building. I'll make it secure, automated, and production-ready.

I'm a dynamic data expert with a proven ability to deliver short- and long-term projects in the realms of data engineering, data warehousing, and business intelligence. My passion is to partner with my clients to deliver top-notch, scalable data solutions to provide immediate and lasting value. I specialise in the following data solutions: ✔️ Data strategy advisory & technology selection/recommendation ✔️ Building data warehouses using modern cloud platforms and technologies ✔️ Creating and automating data pipelines, real-time streaming & ETL processes ✔️ Data Cleaning and Processing. ✔️ Data Migration (Heterogeneous and Homogeneous) Some of the technologies I most frequently work with are: ☁️ Cloud: GCP, AWS & Azure 👨‍💻 Databases: BigQuery, Google Cloud SQL, SQL Server, Snowflake, PostgreSQL, MySQL, S3, Google Cloud Storage, Azure Data Lake Storage. ⚙️ Data Integration/ETL: Matillion ETL for Snowflake/BigQuery, Apache Airflow( Google Cloud Composer, AWS MWAA, Astronomer), Azure Data Factory, Azure Logic Apps, Dagster and DBT. 🔑 Scripting - Python for API Integrations and Data Processing. 🤖 Serverless Solutions - Google Cloud Functions, Lambda Functions and Azure Functions. 📊 Dashboard Reporting - Microsoft Power BI, Apache Superset, Metabase, Looker Studio and Plotly. 🛠 Others - Process Automation in Python, N8N and Much More. =What my clients say about me== ------------------------------------------------------ "Waqar is very clued up, and he thinks outside the box. He is always looking for ways to implement the solution efficiently and cost-effectively. His communication skills are excellent. He is willing to go the extra mile. He has been a pleasure to work with. I will be working with him in the future." ⭐⭐⭐⭐⭐ ------------------------------------------------------ "Waqar has expert-level knowledge of Google Cloud and knows how to make cloud technologies work effectively for the marketing domain." ⭐⭐⭐⭐⭐ ------------------------------------------------------ I am highly attentive to detail, organised, efficient, and responsive. Let's get to work! 💪