An AWS Certified Solutions Architect and consultant, experience in the field of IT and 10 years of experience in Designing and Architecting Applications for Cloud AWS. This includes Setting up the LoadBalancer, Jenkins Configuration and Developing Script for Automated Alerts. Supporting training and consultation on AWS Cloud I am a specialist whose focus is on AWS. Which is why I will delve deeper into your systems and implement excellent solutions and best practices. Cloud architectures for performance and cost ▶️ Cost optimization ▶️ Serverless ▶️ Storage ▶️ Security ▶️ Databases ▶️ Monitoring, metrics and alerts ▶️ Automation: infrastructure-as-code, CloudWatch events ℹ️ Some of the AWS tools used: ▶️ EC2 ▶️ S3 ▶️ Lambda ▶️ Virtual Private Cloud (VPC) ▶️ Relational Database Service (RDS) ▶️ Cloudformation (Infrastructure-as-Code) ▶️ IAM ▶️ SQS ▶️ SNS ▶️ CloudWatch ▶️ Redis and more services in aws ℹ️ What I'll do for clients: ▶️ Understand the business big picture ▶️ Understand the requirements ▶️ Implement so it is: ▶️ Fault-tolerant ▶️ Secure ▶️ Scalable and performant ▶️ Cost-effective ▶️ Operationally excellent Client's Feedback - Job finished before time & under budget. Amazing work! Thanks. - Got a good understanding of my brief quickly and developed a high quality solution. - Great developer to work with, things what is best for you as the client and works really good. Can not speak highly enough about him. I am flexible to project demands and shifting of priorities. I thrive in unfamiliar situations and enjoy opportunities to learn and gain exposure to new ideas and experiences. I am open and willing to learn whatever is necessary to accomplish my client's goals. Thank you, I look forward to working with you.

If your team is losing hours to manual processes, unstable backends, or fragmented AI tools — I build the Python systems that fix that. 100% Job Success Score | Senior Python/React Full Stack Engineer & AI Automation Engineer with 15+ years of experience, 4,000+ Upwork hours, and a 100% Job Success Score. I specialise in three areas: Python Backend Systems — FastAPI, Flask, async Python, REST APIs, WebSockets, PostgreSQL, Redis, and worker queues built for production scale. AI Automation & LLM Workflows — OpenAI API, LangChain, LangGraph, MCP-based agents, RAG pipelines, agentic workflows, and vector databases that replace manual work with intelligent, reliable automation. Cloud & DevOps — AWS and GCP architectures, Docker, Kubernetes, CI/CD pipelines, and Terraform deployments that are secure, cost-optimised, and built to last. Recent outcomes: — Cut law enforcement video analysis time from hours to minutes using a Python + AWS computer vision platform — Saved a team 15+ hours per week through targeted backend automation — Reduced AWS infrastructure costs by $400/month through architecture review and optimisation — Built an AI SEO automation system integrating Google Search Console, GA4, Slack, and Asana with LLM-driven task generation — Contributed backend work to a full-stack application serving 1M+ active users My process: I start with a short discovery call to understand what you're actually trying to solve — not just the technical spec. From there I move fast: clear documentation, reliable delivery, and communication that doesn't require chasing. Best-fit projects: — Python/FastAPI/Flask backend development — AI agents, MCP integrations, LLM workflows, RAG systems, and agentic automation — AWS/GCP cloud architecture, Docker/Kubernetes deployments — API integrations, async workers, microservices, and event-driven systems — SaaS backends with RBAC, billing, multi-tenancy, and audit logs — Cloud cost optimisation and DevOps improvement Available up to 55 hrs/week. Time-zone flexible. Free 30-minute consultation to start. Skills 1. Python 2. React 3. AWS 4. FastAPI 5. AI Automation 6. Next.js 7. Machine Learning 8. Docker 9. PostgreSQL 10. API Development PORTFOLIO — PROJECT 1 Title: AI Video Analytics Platform — Python, AWS, Computer Vision Description: Problem: Law enforcement teams spent hours manually reviewing CCTV footage with no automated way to detect, classify, or track objects across video streams. Solution: Built a Python + Next.js video analytics platform on AWS with separate frontend, detection, and inference services. Used SQS for async processing and WebSockets to stream real-time results to the UI. Integrated object detection, classification, and tracking pipelines using Docker-based microservices. Outcome: Video analysis time reduced from hours to minutes — giving analysts faster, more reliable results at scale. PORTFOLIO — PROJECT 2 Title: AI SEO Automation Platform — LLM Workflows, Python, DigitalOcean Description: Problem: SEO teams were spending hours on manual analysis, task creation, and execution tracking across disconnected tools. Solution: Deployed an agentic automation system on DigitalOcean integrating Google Search Console, GA4, Slack, and Asana. Built LLM-driven workflows for daily SEO insight generation, automated task creation, and controlled-permission execution tracking using Python and RAG-based data retrieval. Outcome: Fully automated end-to-end SEO workflow — from data ingestion to task execution — replacing hours of manual work per week. PORTFOLIO — PROJECT 3 Title: Heka Insights — Open Source Linux Telemetry Agent — Python, Datadog, OTLP Description: Problem: Teams needed a lightweight, open-source server monitoring agent compatible with modern observability stacks — without the overhead of heavy commercial solutions. Solution: Built a Linux metrics agent in Python that collects CPU, memory, disk, and network data with minimal resource usage. Exports in JSON, Prometheus/OpenMetrics, and OTLP/HTTP formats. Includes Datadog and New Relic support, Docker-based testing, and fail-fast exporter validation for CI/CD pipelines. Outcome: Production-ready observability agent deployable across cloud and on-premise environments, ready for integration with any major monitoring platform.

✅ Available Now | 🎯 Top Rated Plus | 💯 100% Job Success I help startups and enterprises design and build production-grade GenAI systems, including AI agents, RAG pipelines, and LLM-powered platforms, using AWS Bedrock, OpenAI, and scalable cloud architecture. With 11+ years of engineering experience and a strong track record of delivering complex systems, I specialize in turning AI concepts into reliable, scalable, real-world applications. Most developers can integrate AI APIs. I focus on building end-to-end AI systems that actually work in production. What I Build ✅ AI Agents & Autonomous Workflows » Multi-step reasoning systems that automate business operations, decision-making, and task execution. ✅ RAG (Retrieval-Augmented Generation) Systems » Knowledge assistants built on internal data (PDFs, CRMs, databases) with citation-based answers and hallucination control. ✅ AWS Bedrock-Powered AI Solutions » Enterprise-grade GenAI systems using Claude/Titan with structured outputs, secure architecture, and scalable pipelines. ✅ LLM-Powered SaaS Platforms » End-to-end AI product development with clean architecture, real-time processing, and cost-optimized LLM usage. ✅ AI Analytics & NL2SQL Systems » Query your data in natural language, turn dashboards into conversational intelligence tools. ✅ AI Workflow Automation » Combine LLMs with APIs, scraping, and business logic to eliminate manual processes. Why Clients Hire Me → AI System Thinking I design complete AI architectures, not just prompts or APIs → Production-Ready Approach Built for scale, latency control, and cost efficiency → Business-First Execution Every system is aligned with measurable outcomes (efficiency, automation, ROI) → Fast Execution on Existing Systems Can jump into projects with ready docs, schemas, or wireframes ✅ Rapid Prototyping → Production AI Systems » Design and build fast AI prototypes (POCs/MVPs) to validate ideas, test feasibility, and demonstrate value. » Seamlessly transition prototypes into scalable, production-grade systems without rework. » Ideal for startups and teams exploring GenAI use cases before full investment. What Clients Say ~ “They consistently exceeded our expectations… a true partner in our automation journey.” “Delivered ahead of schedule with clean architecture and clear communication.” “They have no boundaries in terms of ability…” Results Delivered → Built enterprise AI document & workflow platforms with semantic search and automation → Delivered RAG systems with strict knowledge grounding and citation accuracy → Developed AWS Bedrock-based AI assistants for structured data extraction → Created AI-powered analytics systems with natural language querying → 10,000+ hours across SaaS, AI, and automation systems → 100% client satisfaction across all Upwork contracts Best Fit Projects → Building AI products (not experiments) → Implementing RAG / AI agents / automation systems → Migrating to AWS Bedrock or scalable GenAI infra → Adding AI capabilities to existing platforms Let’s Build AI Systems That Actually Work If you’re serious about using AI to solve real problems, not just testing ideas, I can help you design and build a system that delivers measurable impact.

I am an AWS Certified DevOps Engineer with a proven track record of designing, implementing, and optimizing cloud solutions for small to medium-sized enterprises. With 100+ large-scale deployments under my belt, I specialize in Terraform, Kubernetes, and cloud-native architectures that drive efficiency, scalability, and operational excellence.I help businesses build scalable, secure, and cost-efficient infrastructures. What I Offer: ✅ AWS Cloud Expertise – Designing resilient, cost-optimized, and security-hardened infrastructures. ✅ Infrastructure as Code (IaC) – Automating deployments with Terraform and AWS CloudFormation. ✅ Kubernetes & Containerization – EKS, ECS/Fargate, Helm, ArgoCD, and GitOps workflows. ✅ End-to-End DevOps Solutions – CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, and ArgoCD. ✅ Zero Downtime Deployments – Seamless release management for platforms like Java Spring Boot, Magento, Laravel, MERN, Django, and more. ✅ 24/7 Monitoring & Incident Response – Implementing robust observability with AWS CloudWatch, Prometheus, Grafana, and ELK stack. I have successfully helped numerous clients reduce operational overhead, improve performance, and enhance security. Whether you need architectural guidance or hands-on implementation, I can deliver customized solutions that align with your business goals. Let’s discuss how I can help you optimize your AWS and DevOps workflows! 🚀

If your cloud infrastructure, CI/CD pipelines, data workflows, or ML deployments are becoming difficult to manage, insecure, or hard to scale, I can help you build a reliable, automated, and production-ready system. I’m a DevOps, MLOps, and Cloud Engineer with 4+ years of hands-on experience designing, deploying, and maintaining secure cloud infrastructure across AWS, Azure, and Google Cloud Platform. I help startups and growing companies automate deployments, manage Kubernetes environments, optimize cloud operations, and deploy AI/ML systems with scalable DevOps practices. My work focuses on building systems that are secure, scalable, cost-efficient, observable, and easy to maintain. Here’s how I can help: DevOps Engineering & CI/CD Automation I build and optimize CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, and Bitbucket pipelines. I help teams automate deployments, reduce manual errors, improve release speed, and create reliable workflows across development, staging, and production environments. Cloud Infrastructure on AWS, Azure & GCP I design and manage cloud infrastructure using AWS, Azure, and GCP, including compute, networking, storage, IAM, databases, load balancing, certificates, secrets, monitoring, and security services. I also work with infrastructure automation using Terraform and AWS CDK. Kubernetes, Docker & GitOps I deploy and manage containerized applications using Docker, Kubernetes, ECS, EKS, Helm, and Argo CD. I can help with Kubernetes cluster operations, Helm chart development, GitOps workflows, autoscaling, ingress, secrets management, and production-grade deployment strategies. MLOps & AI Infrastructure I support AI/ML and GenAI workloads by deploying and managing ML models, RAG and non-RAG workflows, and AI infrastructure using tools like Azure AI Foundry, Kubernetes, cloud storage, APIs, and CI/CD automation. I help teams move ML workloads from experimentation to stable production environments. Data Engineering & Workflow Automation I build and automate data workflows using Python, AWS Lambda, S3, DynamoDB, API Gateway, databases, Kafka-based workflows, DAG pipelines, and cloud-native data services. I can help automate manual tasks, improve data reliability, and connect systems through scalable backend workflows. Cloud Security & Compliance Support I implement security best practices across cloud environments, including IAM hardening, Secrets Manager, AWS Security Hub, GuardDuty, Inspector, WAF, vulnerability scanning, and secure CI/CD practices. I also have experience working with compliance-focused environments, including PCI DSS. Monitoring & Observability I set up monitoring, logging, alerting, and dashboards using Prometheus, Grafana, AWS CloudWatch, Datadog, New Relic, and Uptime Robot. I help teams detect issues early, reduce downtime, and improve visibility across applications and infrastructure. I don’t just configure tools. I build complete cloud and DevOps systems that help businesses deploy faster, reduce operational risk, improve security, and scale with confidence. If you need help with AWS, Azure, GCP, Kubernetes, Terraform, Docker, CI/CD, MLOps, data workflows, cloud security, monitoring, or infrastructure automation, let’s discuss your project. Tools & Technologies Cloud Platforms: AWS, Azure, GCP AWS: EC2, RDS, S3, VPC, IAM, Route 53, SQS, ECS, EKS, Lambda, API Gateway, DynamoDB, Secrets Manager, WAF, Config, SNS, Security Hub, Inspector, GuardDuty, CodePipeline, Amplify, Elastic Beanstalk Azure: Azure AI Foundry, Azure DevOps, App Services, Virtual Machines, Networking, Storage GCP: Compute Engine, Cloud Run, Cloud SQL, Cloud Build, Cloud Storage, VPC, IAM, Secret Manager DevOps & CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, Bitbucket Pipelines Containers & Orchestration: Docker, Kubernetes, ECS, EKS, Helm, Argo CD IaC: Terraform, AWS CDK MLOps & Data: Azure AI Foundry, RAG workflows, Python automation, AWS Lambda, S3, DynamoDB, API Gateway, Kafka, DAG workflows Monitoring: Prometheus, Grafana, AWS CloudWatch, Datadog, New Relic, Uptime Robot Databases: PostgreSQL, MSSQL, MongoDB, AWS RDS Security: AWS Security Hub, GuardDuty, Inspector, Secrets Manager, WAF, SonarQube, Snyk, Veracode Scripting: Bash, Python Version Control: GitHub, GitLab, Bitbucket Operating Systems: Linux, Windows Server

I am a DevOps Engineer with 5+ years of hands on experience helping startups and growing businesses deploy faster, scale smoothly and stay secure. I do not just set up servers. I help clients remove deployment stress, reduce downtime and build reliable systems that actually work in production. Whether you are launching a new product or fixing an existing setup, I focus on practical, production-ready DevOps, not theory. ✅ What I Can Help You With ✔️ Cloud infrastructure setup & optimization (AWS / Azure / GCP) ✔️ CI/CD pipelines (GitHub Actions, GitLab CICD, Jenkins) ✔️ Docker & Kubernetes (containerization & orchestration) ✔️ Secure deployments & server hardening ✔️ Monitoring, logging & performance optimization using PROMSTHESIS & GRAFANA TOOL ✔️ Fixing broken pipelines & production issues 👉 You focus on your product. I’ll handle stability, scaling and automation. 💡 Why Clients Choose Me ✔️ 5+ years of real production experience ✔️ Clear & honest communication ✔️ On-time delivery, no over-promising ✔️ Long-term support mindset ✔️ Startup + SaaS environment experience I understand that clients want results, not DevOps jargon — and that’s exactly what I deliver. 🔧 Tools & Technologies Cloud: AWS, Azure, GCP Containers: Docker, Kubernetes CI/CD: Jenkins, GitHub Actions, GitLab IaC: Terraform, CloudFormation Monitoring: Prometheus, Grafana, CloudWatch OS: Linux (Ubuntu, CentOS) 🤝 Let’s Get Started If you need: DevOps setup from scratch Infrastructure optimization CI/CD automation Or urgent production support Send me a message - I would be happy to help 🚀

𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 | 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 | 𝐀𝐖𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 | 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐭𝐨 𝐒𝐭𝐚𝐫𝐭 𝐈𝐦𝐦𝐞𝐝𝐢𝐚𝐭𝐞𝐥𝐲 Most growing teams face the same challenges: rising cloud costs, slow release cycles, security bottlenecks, infrastructure complexity, and reliability issues that impact customers and engineering velocity. 𝐈 𝐡𝐞𝐥𝐩 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐚𝐧𝐝 𝐠𝐫𝐨𝐰𝐢𝐧𝐠 𝐭𝐞𝐚𝐦𝐬 𝐛𝐮𝐢𝐥𝐝, 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐞 𝐭𝐡𝐞𝐢𝐫 𝐜𝐥𝐨𝐮𝐝 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬. As an AWS Certified Solutions Architect and DevOps/DevSecOps Engineer, I work across cloud architecture, Kubernetes, CI/CD, compliance, observability, automation, and infrastructure modernization. I help teams reduce cloud costs, improve deployment speed, strengthen security posture, and create platforms that developers enjoy using. I support AWS, Azure, Hetzner, and hybrid cloud environments, with hands-on experience delivering production-grade platforms for SaaS companies, startups, and enterprise teams. ➤ 𝐇𝐨𝐰 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 ✔ 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 AWS, Azure, Hetzner, multi-cloud architecture, landing zones, networking, IAM, high availability, disaster recovery, and production-ready platform design. ✔ 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 & 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 Kubernetes, EKS, AKS, Helm, Docker, GitOps, cluster upgrades, scaling strategies, and developer platform enablement. ✔ 𝐂𝐈/𝐂𝐃 & 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 GitHub Actions, Jenkins, release automation, testing pipelines, deployment strategies, rollback systems, and streamlined developer workflows. ✔ 𝐃𝐞𝐯𝐒𝐞𝐜𝐎𝐩𝐬 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 Drata implementation, SOC 2 readiness, security automation, vulnerability management, secrets management, IAM governance, audit logging, and compliance-focused infrastructure. ✔ 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐌𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 Cloud migrations, Kubernetes migrations, infrastructure modernization, workload re-platforming, and legacy system transformation with minimal downtime. ✔ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐒𝐢𝐭𝐞 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Prometheus, Grafana, CloudWatch, Azure Monitor, centralized logging, alerting, incident response, root cause analysis, and reliability engineering. ✔ 𝐂𝐨𝐬𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐅𝐢𝐧𝐎𝐩𝐬 Cloud cost visibility, resource right-sizing, reserved instance strategies, budget controls, and long-term cost governance. ✔ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 Terraform, Bash, Python, infrastructure automation, operational tooling, custom scripts, self-service workflows, and repeatable deployments. ✔ 𝐒𝐚𝐚𝐒 & 𝐋𝐨𝐯𝐚𝐛𝐥𝐞 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭𝐬 Deploying and scaling SaaS applications, Lovable applications, containerized workloads, custom domains, SSL, databases, monitoring, and production operations. 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 ⬩ AWS Certified Solutions Architect with real-world production experience ⬩ Strong across architecture, DevOps, security, and operations ⬩ Focused on measurable outcomes, not just infrastructure setup ⬩ Proven experience supporting startups through rapid growth ⬩ Practical, automation-first mindset ⬩ Clear communication and long-term maintainability Whether you need cloud architecture, Kubernetes, DevSecOps, compliance automation, migrations, cost optimization, or a complete platform built from scratch, I can help turn your infrastructure into a competitive advantage. 𝐈 𝐚𝐦 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐟𝐨𝐫 𝐚 𝐪𝐮𝐢𝐜𝐤 𝐜𝐚𝐥𝐥 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐠𝐨𝐚𝐥𝐬. 𝐈𝐧𝐯𝐢𝐭𝐞 𝐦𝐞 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭, 𝐚𝐧𝐝 𝐈 𝐜𝐚𝐧 𝐠𝐞𝐭 𝐬𝐭𝐚𝐫𝐭𝐞𝐝 𝐚𝐬 𝐬𝐨𝐨𝐧 𝐚𝐬 𝐩𝐨𝐬𝐬𝐢𝐛𝐥𝐞.

I’m a Senior DevOps Engineer and AWS Certified Solutions Architect – Professional, working with startups, SaaS companies, and growing engineering teams to design, scale, and operate secure, reliable, and cost-efficient cloud platforms across AWS, GCP, and Hetzner. I bring together hands-on DevOps execution with senior-level guidance on architecture, cost optimization, reliability, and security—collaborating closely with engineering leaders and stakeholders to deliver systems that work in production, not just on paper. How I work with clients: * Act as a hands-on technical partner, taking ownership beyond implementation through to stable production outcomes * Translate product, growth, and scaling requirements into practical, production-ready cloud architectures * Make clear, outcome-driven trade-offs between cost, reliability, and delivery speed * Support and unblock engineering teams while staying directly involved in execution * Prioritize clarity, accountability, and predictable delivery * Favor pragmatic, maintainable solutions over unnecessary complexity * Set clear expectations around scope, risks, and timelines from the start What I help you achieve: * Scalable cloud architectures that remain stable and predictable as your product grows * Faster, safer releases through reliable CI/CD pipelines * Reduced cloud spend using practical, engineering-led FinOps approaches * Strong observability and alerting for quicker incident detection and recovery * Secure, compliant infrastructure aligned with SOC 2, HIPAA, and GDPR practices * Lower operational risk and fewer production surprises through clear ownership and reliability standards *********************************************************************************************** Core DevOps & Cloud Capabilities: Cloud Architecture & Platform Design: - Design production-ready AWS architectures optimized for scalability, reliability, and cost. Experienced with high-availability systems, serverless workloads (Lambda, Fargate), and modernizing monoliths to scale without rewrites or downtime. CI/CD Pipeline Architecture & Deployment Automation: - Build reliable CI/CD pipelines using GitHub Actions, GitLab CI, and AWS tooling to enable safe, frequent releases. Focused on faster lead times, reduced rollback rates, and low-risk deployment patterns (blue-green, canary). Containerization & Microservices: - Architect and run containerized systems on AWS using Docker, ECS, and Fargate, handling service communication, auto-scaling, and zero-downtime migrations. Emphasis on operational stability, security, and cost-efficient scaling. Infrastructure as Code (IaC): - Automate infrastructure with Terraform and AWS CloudFormation to ensure consistent, reproducible environments and eliminate configuration drift. IaC serves as the foundation for safe change and rapid recovery. Observability & Incident Response: - Implement actionable monitoring and alerting with CloudWatch, Prometheus, Grafana, and ELK to detect issues early and reduce MTTR. Establish practical incident response practices that prevent customer impact. Security & Compliance (Audit-Ready): - Apply security-by-design using IAM, network isolation, WAF, and vulnerability controls. Support SOC 2, HIPAA, and GDPR requirements without over-engineering or slowing delivery. Disaster Recovery & Business Continuity: - Design DR strategies aligned to RTO/RPO goals, including automated backups and multi-region failover. Build systems that recover automatically through health-checks and failover mechanisms. Cost Optimization & FinOps: - Reduce cloud spend through rightsizing, Reserved Instances, and Savings Plans, while embedding cost awareness into architecture decisions. Focus on sustainable, long-term cost efficiency. Migration & Infrastructure Modernization: - Execute zero-downtime migrations to AWS and modernize legacy systems by removing manual operations and technical debt through automation. AI-Assisted DevOps: - Selectively leverage AI tools (ChatGPT, Copilot, Cursor) to accelerate design, debugging, documentation, and operational workflows—improving speed without compromising security or quality. *********************************************************************************************** Ideal Engagements: * Long-term infrastructure ownership * Infrastructure scaling for high-traffic & growth * Cloud architecture reviews & optimization roadmaps * Cost optimization & FinOps programs * Zero-downtime migrations * Disaster recovery & business continuity * CI/CD modernization * Incident response & reliability improvements If you need someone who thinks like an owner, executes with precision, and delivers measurable results—let's talk.

$100K+ Earned | 42 Jobs Completed | 100% Job Success | 15+ Years of Experience If you need an AI system, SaaS platform, or cloud backend built right the first time - without the back-and-forth, scope creep, and "we'll figure it out later" approach - you're in the right place. ✔️ I work best with founders and product teams who are thinking: - "I need an AI agent or LLM system that actually works in production, not just a prototype" - "I need someone who owns the architecture, not just the code" - "I've been burned by developers who disappear after delivery - I need reliability" - "I need the full stack handled - frontend, backend, DevOps, AI - by one person who gets it all" ✔️ Working with me, you get: 🌟 End-to-end ownership: from system architecture and AI integration to deployment, scaling, and ongoing automation 🌟 Production-grade AI systems: RAG pipelines, multi-agent workflows, LLM integrations using LangChain, OpenAI, and Claude 🌟 Cloud-native infrastructure: AWS, Azure, GCP, Docker, Kubernetes, CI/CD - built to scale from day one 🌟 12+ years of full stack depth: React, Node.js, Next.js, Python, Django, GraphQL, and more ✔️ We might not be the right fit if: ✗ You need the cheapest option available - I focus on quality and long-term value, not the lowest bid ✗ You have no clear vision for what you're building - I work best with founders who know their product direction ✗ You need someone to "just code" without thinking about architecture or outcomes [ INDUSTRIES I'VE BUILT FOR ] - FinTech & Banking | Healthcare & MedTech | LegalTech & Compliance - EduTech & E-Learning | E-Commerce & Retail | Logistics & Supply Chain - Real Estate & PropTech | Travel & Hospitality | InsurTech | Manufacturing & Distribution - Cybersecurity | Media & Publishing | AI/ML & Data Analytics [ WHAT I BUILD ] - AI SaaS Platforms & Multi-Tenant SaaS Applications - AI Agent Systems, Chatbots & LLM-Powered Applications - Booking Platforms, Marketplaces & Customer Portals - ERP, CRM, LMS, EHR & Case Management Systems - Progressive Web Apps (PWA) & Cloud-Native Applications - DevOps Pipelines & Infrastructure Automation [ MY TECH STACK ] - Frontend - React, Next.js, Vue.js, TypeScript, Tailwind CSS - Backend - Node.js, Python, Django, FastAPI, Nest.js, GraphQL - AI & ML - LangChain, OpenAI API, Claude, RAG Pipelines, Multi-Agent Systems - Cloud - AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD - Databases - PostgreSQL, MongoDB, MySQL, DynamoDB, Redis, Elasticsearch - Security - OAuth, JWT, SSL/TLS, OWASP, SonarQube [ CORE SKILLS ] - AI Agent Development | LLM Integration | RAG Pipeline Development - Multi-Agent System Architecture | Full-Stack SaaS Development - Mobile & Web Application Development | API Design & Integration - Cloud Solution Architecture | DevOps & AIOps Engineering - Database Design & Management | Infrastructure as Code (IaC) What I bring that most developers don't - I don't just write code. I make architecture decisions, set up infrastructure, automate the deployment pipeline, and ensure the system scales correctly from day one. You get a single point of ownership across the entire build, not a developer who stops at the code and hands off the rest. If your project involves AI agents, LLM integration, SaaS platform development, or cloud infrastructure - and you need someone who can own it end to end - let's talk. A 20-minute call is usually enough to know if we're a good fit.

Your cloud bill is not a fixed cost. It's an engineering problem - and I solve it. Most companies overpay AWS or GCP by 30-70%. The money is hiding in untagged resources, oversized nodes, idle NAT gateways, and architectures that were designed to work - not to scale economically. I find it, I fix it, and I deliver measurable ROI within the first 30 days. With $900K+ earned on Upwork, 100% Job Success Score, and 19+ years as a CTO and Cloud Architect, I bridge Engineering and Finance - translating infrastructure complexity into business impact your CFO can read. Typical Problems I Solve → AWS or GCP costs are too high and growing month over month → No visibility into what's driving cloud spend → Need a cloud infrastructure audit before scaling → AI workloads are expensive and unpredictable to run → Compliance requirements (SOC 2, GDPR, HIPAA) creating engineering debt → Architecture needs redesign for cost-efficiency before next funding round Proven Client Results ▪️ Shoebacca (Large US E-commerce) → Challenge: AWS costs exceeded budget by 40%, with no tagging, no FinOps governance, and no cost visibility. → Solution: EKS rightsizing, NAT/ALB/EBS audit, serverless Lambda migration, full FinOps governance with cost allocation tags. → Business Impact: $264,000 annual savings - AWS costs cut by 75% in one week. ▪️ US Influence Platform → Challenge: Monthly AWS bill uncontrolled, infrastructure unaudited, site latency degrading. → Solution: Infrastructure audit + Terraform migration + reserved instance strategy. → Business Impact: Monthly AWS bill reduced by 50%. Site latency improved as a bonus. ▪️ ChilliSauce (UK Event Agency) → Challenge: AWS ECS/Fargate costs growing with no optimization strategy. → Solution: Continuous FinOps management, ECS rightsizing, Fargate cost controls. → Business Impact: 30% cost reduction maintained continuously. ▪️ Datos Health (Israeli HealthTech) → Challenge: No monitoring or alerting on GCP infrastructure - production issues discovered by users. → Solution: Monitoring and alerting built from scratch with Prometheus and Grafana on GCP. → Business Impact: Zero production blind spots. Engineering team now detects issues before users do. Core Delivery Areas → Forensic Cloud Cost Audits - identify immediate 20%+ savings before writing a single line of IaC → FinOps in CI/CD - cost guardrails embedded directly in your deployment pipeline, not managed by your finance team → AI workload cost optimization - GPU orchestration, vector database cost management, LLM infrastructure efficiency → Spot/Reserved Instance Strategy & Orchestration → Serverless architectural redesign (Lambda, ECS/Fargate) for cost-efficient scaling → DevSecOps: SOC 2, GDPR, HIPAA compliance, Zero Trust architecture, IAM hardening Stack: AWS (EKS, Lambda, EC2, S3, RDS, CloudFront) · GCP · Terraform · Kubernetes · Docker · GitHub Actions · ArgoCD · Prometheus · Grafana · Datadog · Apache Kafka · PostgreSQL · AI workloads Available during US business hours (EST/PST overlap). Cloud cost optimization is the highest-ROI DevOps investment in 2026. Send an invite - I'll show you exactly where your cloud budget is leaking.