Hi there! As a DevOps Engineer with more than four years of experience, I have a proven track record of optimizing and automating infrastructure to drive efficiency and reliability. My expertise includes cloud solutions, CI/CD pipelines, and configuration management, making me a versatile and valuable addition to any team. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐭𝐡𝐞 𝐓𝐚𝐛𝐥𝐞: 𝐂𝐥𝐨𝐮𝐝 𝐌𝐚𝐬𝐭𝐞𝐫𝐲: Proficient in AWS, Google Cloud, and Azure. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Extensive experience with Docker, LXC and Kubernetes. 𝐂𝐈/𝐂𝐃 𝐆𝐮𝐫𝐮: Skilled in Jenkins, GitLab CI, Github Actions, and TeamCity. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭: Expert in Terraform, Ansible and Pulumi. 𝐒𝐜𝐫𝐢𝐩𝐭 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Strong in Bash, Python, Shell, and Go scripting. 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐋𝐨𝐠𝐠𝐢𝐧𝐠: Knowledgeable in Prometheus, Grafana, and ELK Stack. 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: Experienced with Git, GitHub, Bitbucket and Gitlab. 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Designed and deployed a microservices architecture on AWS with Kubernetes, Docker, and Terraform, leading to a 90% reduction in downtime. 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Developed a CI/CD pipeline for a client, enabling multiple daily deployments with zero downtime. 𝐂𝐨𝐬𝐭 𝐑𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧: Helped organization reduced the cost of the cloud by implementing the suitable infrastructure with auto scaling as per application design and needs. 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: Implemented security best practices and compliance checks, ensuring robust system security.

I build secure, automated, and cost-efficient DevOps systems, from plan to production, treating your goals like my own. You’ll get a clear roadmap, meeting notes, and steady progress updates. My rule is simple: no delays, no surprises. I stay in touch throughout the process , you can reach me anytime for updates or quick fixes. After delivery, I support free for small adjustments to ensure everything runs as planned. Technical Expertise Cloud Platforms: AWS | Google Cloud | Azure | Cloudflare | DigitalOcean Infrastructure as Code & Automation:Terraform | Ansible | CloudFormation | CI/CD (GitHub Actions, GitLab CI, Jenkins) Containerization & Systems:Docker | Kubernetes | EKS | Linux Server Management | Security Hardening | Performance Optimization Automation & Integration:n8n | MCP Server | Workflow Automation | AI Integrations | Monitoring (CloudWatch, Prometheus, Grafana) Project Highlights Delivered multiple DevOps and automation projects like: • AWS infrastructure setup, monitoring, and cost optimization • Cloud migrations with zero downtime • n8n & MCP automation setups with SSL • FileMaker and WordPress deployments with performance tuning Clients appreciate my structured approach, clear communication, and reliable delivery of production-ready systems. Certifications • AWS Certified Solutions Architect • HashiCorp Certified: Terraform Associate • ...and more Let’s connect to plan your next DevOps step , I respond quickly. More Technical Expertise : Experienced DevOps Engineer with a strong background in designing, automating, and managing secure, scalable, and cost-optimized infrastructures across AWS, Google Cloud, Azure, Cloudflare, and DigitalOcean. Proficient in building Infrastructure as Code environments, automating deployments, and ensuring high availability through continuous delivery pipelines and robust monitoring systems. Cloud Platforms: AWS (EC2, S3, RDS, EKS, Route53, CloudFront, CloudFormation, CloudWatch, Auto Scaling, IAM, VPC, Lambda, NAT Gateway, VPN) | Google Cloud (GKE, Compute Engine, Cloud SQL, Cloud Run) | Azure (VMs, AKS, Blob Storage) | Cloudflare (CDN, DNS, WAF, SSL, Zero Trust) | DigitalOcean (Droplets, Spaces, Load Balancers). Skilled in multi-cloud strategy, cost governance, private networking, and hybrid cloud integration. Infrastructure as Code & Automation: Terraform (modular IaC, reusable modules, workspaces) | Ansible (configuration management, provisioning, patch automation) | AWS CloudFormation | Pulumi | CI/CD using GitHub Actions, GitLab CI, Jenkins, CircleCI | Python & Bash scripting | YAML automation. Expert in zero-downtime deployments, blue-green and canary strategies, and multi-environment delivery automation. Containerization & Systems: Docker (multi-stage builds, custom images) | Kubernetes (EKS, Helm, Ingress, RBAC, HPA, ConfigMaps, Network Policies) | Linux Administration (Ubuntu, RHEL, CentOS) | Nginx | Apache | Load Balancing | Reverse Proxy | System Hardening | Performance Tuning. Building and maintaining production-grade containerized microservices with security, scalability, and resource efficiency. Security & Compliance: IAM | AWS WAF | AWS Inspector | CloudTrail | Trusted Advisor | CIS Benchmarking | Fail2Ban | iptables | SSL/TLS | Security Groups | Secrets Management (AWS Secrets Manager, Vault) | Encryption | Logging Compliance (GDPR, SOC2). Implementing DevSecOps best practices including access control, audit logging, vulnerability scanning, and cost monitoring. Monitoring & Observability: CloudWatch | Prometheus | Grafana | Loki | ELK Stack (Elasticsearch, Logstash, Kibana) | Alertmanager | FluentD | Kinesis Firehose | Datadog | Zabbix. Setting up proactive monitoring, centralized logging, and alerting systems for real-time visibility and incident response. Automation & Integrations: n8n | MCP Server | Airflow | API Integration | Webhooks | Workflow Automation | Slack, Discord, Telegram bots | AI-assisted automation | Event-driven pipelines. Developing efficient automation workflows that connect DevOps, cloud, and business tools to reduce manual effort and increase reliability. Additional Skills: Git | GitHub | GitLab | Bitbucket | Jenkins Pipelines | Terraform Cloud | AWS CDK | Docker Compose | PostgreSQL | MySQL | MongoDB | Redis | HAProxy | AWS SES | S3 Lifecycle | Route Tables | Bastion Hosts | Backup & Recovery | VPN | DNS Routing | Cost Optimization | Serverless Framework | Cloud Migration | Domain & SSL Management. Proven track record in delivering production-ready DevOps solutions: scalable AWS infrastructures, automated CI/CD pipelines, Kubernetes clusters, serverless backends, and secure, monitored, and optimized cloud environments.

AI-first senior engineer applying AI across the full software delivery lifecycle — from code generation and testing to review, refactoring, debugging, and system operations. This amplifies already strong engineering fundamentals, system design judgment, and problem-solving ability, consistently delivering faster and higher-quality outcomes (all outputs are reviewed, refined, and validated to production quality standards). Key Strengths - True Senior Python backend engineer with rare cross-functional depth in architecture, development, databases, DevOps, QA, management and system administration. - Proven ownership of complex production systems: API backends, microservices, SaaS platforms, high-load systems, distributed systems, search systems, and AI-powered products. - Strong system design and scalability background: performance optimization, zero-downtime upgrades, database optimization, asynchronous processing, WebSockets, queues, and cloud infrastructure. - Deep Python ecosystem expertise: Django, Django REST framework, FastAPI, Flask, SQLAlchemy, Celery, Pydantic, PostgreSQL, Redis, RabbitMQ, Elasticsearch, and modern Python tooling. - Practical AI engineering experience with OpenAI API, embeddings, semantic search, AI assistants, voice assistants, LLM-powered workflows, and production AI integrations. - Business-focused senior contributor who can join an existing codebase, identify bottlenecks, propose multiple viable solutions, and deliver maintainable production changes independently. - Leadership-level communication: remote team leadership, architecture decisions, code review, hiring, release management, clear client communication, and consistently strong client feedback. Professional Experience 27 years of software engineering experience, with overlapping roles: - 14 years in Python development (plus 4 years in other programming languages). - 8 years in managerial positions. - 8 years in software quality assurance. - 5 years in system administration. Technology Stack - Core: Python, Django, Django REST Framework (alternatively FastAPI + SQLAlchemy + Alembic), Celery, PostgreSQL, RabbitMQ, Redis - DevOps & Infrastructure: uv (earlier Poetry + pyenv), Docker + Docker Compose, Pulumi, Sentry, AWS, Uvicorn, Gunicorn, NGINX (or Traefik for containerized deployments), Let's Encrypt, GitHub Actions - Development & Quality Assurance Tools: PyCharm, Codex CLI, Claude Code, ChatGPT, GitHub Copilot, Linear (alternatively GitHub Projects), pytest, diff-cover, pre-commit, Ruff (earlier Flake8, Pylint), GNU Make, model-bakery, ngrok, VCR.py, Moto, pdbpp, colorlog - Libraries: django-split-settings, django-restql, django-dirtyfields, WhiteNoise, Anymail, python-jose, Jinja, time-machine, Pydantic, tqdm, cachetools, HTTPX (preferred over Requests), Tenacity, Beautiful Soup, Liquid

If your infrastructure is holding your team back — slow deployments, security gaps, compliance pressure, or runaway costs — I fix it end to end. I'm a Senior DevOps & SRE Engineer with 7+ years of hands-on experience building and operating production cloud infrastructure for SaaS, fintech, and healthtech companies. I don't just advise. I implement — Terraform, Kubernetes, CI/CD pipelines, security hardening, cost optimization — and I own the outcome. ───────────────────────────────────── 🏆 WHY CLIENTS CHOOSE ME ───────────────────────────────────── - Top Rated Plus — Top 1% on Upwork - 100% Job Success Score | $100K+ earned - 45+ completed contracts across SaaS, fintech, healthtech - Led SOC 2 compliance programmes end-to-end at two Toronto companies - Trusted by founders, CTOs, and engineering teams across North America ───────────────────────────────────── 🚀 WHAT I DO ───────────────────────────────────── Cloud Infrastructure & AWS Architecture Production-grade AWS environments built right the first time — VPCs, EKS, ECS, RDS, Lambda, API Gateway, CloudFront. High availability, fault tolerance, and security baked in from day one. I've designed and operated systems handling millions of requests for funded startups and scale-ups. Kubernetes & Container Platforms EKS cluster design, Helm, ArgoCD, GitOps workflows, RBAC, network policies, pod security, Falco for runtime security, and full observability. Real production Kubernetes — not tutorial-level work. CI/CD & DevOps Automation GitHub Actions, Jenkins, AWS CodePipeline — automated build, test, and deploy pipelines that reduce deployment risk and free your team to ship faster. Zero-downtime blue/green and canary deployments included. Infrastructure as Code Modular, reusable Terraform across multi-account AWS environments. CloudFormation, Pulumi, Ansible. Fully reproducible, auditable infrastructure that your team can actually maintain. Security & Compliance (SOC 2 / HIPAA) I've led SOC 2 Type 1 and HIPAA technical implementation at regulated companies — not just as a GRC consultant writing policies, but as the engineer who implemented the controls: IAM hardening, GuardDuty, Security Hub, CloudTrail, KMS encryption, Vanta/Drata setup, and evidence pipelines. If compliance is blocking your next enterprise deal, I've done this before. Cost Optimization Reduced AWS spend by 30–60% across multiple client environments through Reserved Instance strategy, right-sizing, Savings Plans, and architectural improvements. I find the waste and fix it — with proof. SRE & Production Reliability Monitoring, alerting, incident response, SLOs, and error budgets. Prometheus, Grafana, CloudWatch, ELK. I've worked in production SRE roles and know what "on-call ready" infrastructure actually looks like. ───────────────────────────────────── 📊 RESULTS THAT MATTER ───────────────────────────────────── - Reduced cloud costs 30–60% across multiple AWS environments - Led end-to-end SOC 2 compliance at two separate companies from gap assessment through audit - Built HIPAA-compliant AWS infrastructure for a US healthtech startup - Designed and operated EKS platforms supporting production SaaS workloads - Migrated legacy infrastructure to fully automated, IaC-managed environments - Built CI/CD pipelines that cut deployment time and eliminated manual steps ───────────────────────────────────── 🧰 CORE STACK ───────────────────────────────────── Cloud: AWS (primary) · GCP Containers: Kubernetes (EKS/GKE) · Docker · Helm · ArgoCD IaC: Terraform · CloudFormation · Pulumi · Ansible CI/CD: GitHub Actions · Jenkins · AWS CodePipeline Security: GuardDuty · Security Hub · CloudTrail · KMS · IAM · WAF Compliance: Vanta · Drata · SOC 2 · HIPAA Observability: Prometheus · Grafana · CloudWatch · ELK · Datadog Languages: Python · Bash · Boto3 ───────────────────────────────────── ✅ YOU'RE THE RIGHT FIT IF YOU... ───────────────────────────────────── - Are a startup or scale-up on Cloud that needs infrastructure built properly, not just quickly - Have a compliance deadline (SOC 2, HIPAA) and need someone who can Implement the technical controls, not just write policies - Are spending too much on AWS and need someone to find and fix the waste - Need a production Kubernetes environment set up, secured, and monitored - Want an experienced engineer who takes ownership and communicates clearly I'm available for both fixed-scope projects and ongoing hourly engagements. Free 30-minute discovery call for new clients — let's figure out if I'm the right fit before either of us commits.

Senior Full-Stack & Cloud Engineer | Node.js · AWS · GCP · React Native · Next.js I build backend systems, cloud infrastructure, and mobile & web applications that are production-ready, scalable, and cost-efficient. 7+ years. Real results: ⚡ Reduced AWS infrastructure costs from $7,000/month → $200–250/month by migrating a multi-tenant data platform to a fully serverless architecture (96%+ cost reduction) ⚡ Cut API latency from 800ms → 120ms using Lambda and caching strategies ⚡ Built a React Native + AWS backend handling large-scale daily survey data with end-to-end security (Cognito, DynamoDB, S3, BigQuery) → FREE 30–60 min consultation — architecture review, cost audit, or new project scoping. WHAT I BUILD ① Node.js Backend & AWS Cloud Scalable APIs, serverless architecture, and event-driven systems built on AWS Lambda, API Gateway, SQS, SNS, EventBridge, Step Functions, DynamoDB, S3, Cognito, and CloudWatch. I design for performance, security, and cost — not just functionality. Migrated systems have saved clients thousands per month. ② React Native Mobile Apps Cross-platform iOS & Android apps with real-time features, AWS-backed APIs, push notifications, and clean native-like UI. Full end-to-end delivery — from UI to secure backend integration. Live on the App Store & Google Play. ③ React & Next.js Web Apps Full-stack web applications and SaaS dashboards using React.js and Next.js. Multi-tenant auth, Stripe billing, real-time data, admin panels, and server-side rendering. Built for performance and scale. ④ GCP Backend Systems Event-driven microservices using Firestore, Pub/Sub, BigQuery, and Cloud Functions. Including Firestore → BigQuery analytics pipelines built with Pulumi IaC. ⑤ DevOps & Infrastructure as Code CI/CD pipelines, Docker, GitHub Actions, AWS CodePipeline, Terraform, Pulumi, and Serverless Framework. Clean deployments with monitoring, security, and zero-downtime releases. CASE STUDIES Multi-Tenant Serverless Data Platform — AWS Problem: Client paying $7,000/month on server-based infrastructure for a multi-tenant data orchestration platform. Solution: Redesigned and migrated the entire system to AWS serverless — Lambda, API Gateway, DynamoDB, SQS, S3, with event-driven pipelines and a React admin dashboard. Result: Monthly AWS cost dropped from $7,000 → $200–250. 96%+ cost reduction. React Native Survey & Rewards App — Stahili Problem: Needed a scalable, privacy-focused mobile app handling large volumes of daily survey data with secure backend connectivity. Solution: Built end-to-end — React Native frontend (TypeScript, Redux) + AWS serverless backend (Lambda, DynamoDB, S3, Cognito, BigQuery). Result: Live on Google Play. Smooth, scalable, and data-secure for thousands of daily active users. PROJECT HIGHLIGHTS (live demo available on call) → Multi-tenant serverless data platform — $7,000 → $200–250/month AWS cost reduction → React Native survey & rewards app — live on Google Play, AWS-backed → High-availability cloud architecture for critical business operations → GCP Firestore → BigQuery analytics pipeline using Pulumi → Payroll Management & ERP enterprise systems → GDS / Travel booking platform — high-traffic, real-time integrations → Event-driven AWS & GCP notification and API systems TECH STACK Backend: Node.js · NestJS · Express.js · TypeScript · GraphQL · REST APIs Mobile & Web: React Native · React.js · Next.js · TypeScript · Redux AWS: Lambda · API Gateway · SQS · SNS · EventBridge · Step Functions · Cognito · S3 · EC2 · DynamoDB · RDS · CloudWatch · Amplify GCP: Pub/Sub · Firestore · BigQuery · Cloud Functions Databases: PostgreSQL · DynamoDB · MongoDB · MySQL · Redis · Firebase DevOps & IaC: Docker · GitHub Actions · AWS CodePipeline · Pulumi · Terraform · Serverless Framework INDUSTRIES 💳 Fintech — payment flows, transaction APIs, financial backends 🏥 HealthTech — data-sensitive, compliant, scalable architectures 🧩 SaaS — multi-tenant platforms built to scale from day one ✈️ GDS & Travel — high-traffic booking & real-time integrations 📱 Consumer Apps — mobile-first products live on App Store & Google Play GLOBAL DELIVERY US · UK · Europe · UAE — async-first, proactive communication, on schedule. Send me a message. I'll review your project and give you a clear technical plan before we start.

𝘿𝙤𝙣'𝙩 𝙞𝙣𝙫𝙞𝙩𝙚 𝙢𝙚 𝙞𝙛 𝙮𝙤𝙪𝙧 𝙗𝙪𝙙𝙜𝙚𝙩 𝙞𝙨 𝙡𝙚𝙨𝙨 𝙩𝙝𝙖𝙣 $500 I have over five years of Experience in the field of Cloud/Product Operations. My expertise are in SAAS products and by taking part in both tech and business aspects of the product, I have skills necessary to address the given challenge.𝗖𝗹𝗼𝘂𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗔𝗪𝗦 | 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 | 𝗗𝗼𝗰𝗸𝗲𝗿 | 𝗖𝗜/𝗖𝗗 I specialize in 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 that enhance cloud operations with efficiency, automation, and security. With 5+ 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻 𝗗𝗲𝘃𝗢𝗽𝘀 and 8 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻 𝗜𝗧, I have a proven track record of designing high-performing infrastructure that optimizes costs and streamlines deployments. My expertise spans 𝗔𝗪𝗦, Oracle, 𝗔𝘇𝘂𝗿𝗲, 𝗚𝗖𝗣, 𝗮𝗻𝗱 𝗗𝗶𝗴𝗶𝘁𝗮𝗹𝗢𝗰𝗲𝗮𝗻, 𝗮𝗹𝗼𝗻𝗴 𝘄𝗶𝘁𝗵 𝗖𝗜/𝗖𝗗, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺, 𝗗𝗼𝗰𝗸𝗲𝗿, and Github Actions, enabling businesses to build resilient, scalable, and fully automated environments. I bring 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲𝗱 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 at every stage, ensuring smooth and efficient operations. With 𝗰𝗹𝗲𝗮𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝘁𝗶𝗺𝗲 𝘇𝗼𝗻𝗲 𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁, 𝗮𝗻𝗱 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻, I prioritize long-term collaboration and successful project outcomes. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ✔ 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 ✔ 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: AWS (EC2, ECS, S3, IAM, Lambda, RDS, Route 53, CloudFormation, CloudFront), Oracle, Azure, GCP, DigitalOcean ✔ 𝗖𝗜/𝗖𝗗 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Docker, Kubernetes, CI/CD, Terraform, Ansible, Serverless, Deployment Automation ✔ 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: VCN, VPC,Security Groups/Lists, Subnets, Compute, WAF, Nginx, Linux (Ubuntu/RedHat), Git/BitBucket, Bash, PowerShell ✔ 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: SQL/NoSQL, Python, Java, NodeJS ✔ 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 & 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀 𝗔𝗪𝗦 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: EC2, S3, CloudFormation, Lambda, Athena, DynamoDB, Cognito, SSM, KMS, IAM, QuickSight, EKS, ECS, ECR, CloudWatch, CloudTrail, EventBridge, STS, WAF, API Gateway, Security Hub, Inspector, Config, VPC, RDS, Step Functions, AppSync, Amplify, CodePipeline, Glue 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Terraform, Jenkins, Docker, Kubernetes, Git, Firebase, Prometheus, Grafana, PagerDuty, New Relic, Ansible, Packer, Nagios, SonarQube, Twingate, Pulumi, GCP, OpenAI 𝗟𝗲𝘁'𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝗜 𝗰𝗮𝗻 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝘆𝗼𝘂𝗿 𝗰𝗹𝗼𝘂𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗳𝗼𝗿 𝗺𝗮𝘅𝗶𝗺𝘂𝗺 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗰𝗼𝘀𝘁 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆! 🚀 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 :- AWS Lambda, Node.js, Serverless Expert, Python, Serverless backends, AWS CloudFormation, AWS Elastic Beanstalk, Cloud infrastructure, Subnet, Internet Gateway, NAT Gateway, HW VPN Connection, Virtual Private Gateway, Customer Gateway, Router, Peering Connection, VPC Endpoint for S3, AWS RDS, AWS ElasticCache, CI/CD pipelines, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, Codestar, GitHub, Jenkins, S3 cost optimization, Storage management, Infrastructure cost analysis, JAMStack applications, Lambda Expert, CloudFront, EC2, VPC, ELB, EBS, RDS, Route53, CloudWatch, AWS Auto Scaling, High-availability, Fault tolerance, Auto-scaling, Glacier, RHEL, Ubuntu Linux, Kinesis Firehose, Elasticsearch, Kibana, NAT gateways, Bastion hosts, Trusted Advisor, AWS Inspector, CloudTrail, AWS Config, SHELL/BASH scripting, Git, SVN, VPN, Route53 traffic routing, EBS volume encryption, SSL certificates, CDN, CloudFront, Monitors, alarms, notifications, EC2 hosts, S3 backups, Object lifecycle management, Hosted zones, NAT instances, Route tables, Unix/Linux server maintenance, Server migration, Domain migration, Database migration, AWS SES, Cloud VM management, Postfix configuration, Security measures, SSL implementation, AWS Kafka, AWS Specialist, Cloud Engineer, AI, Machine Learning, Trending technologies, AWS SES, AWS S3, AWS CodeCommit, Cloud Engineer, AWS Specialist, DevOps Engineer, DevOps Specialist, EC2, Kubernetes, Jenkins Pipelines, CI/CD Pipelines, Cloud DevOps, AWS RDS, AWS Elasticsearch, AWS Expert, AWS Devops

🙏 ABOUT ME I build production-grade AI systems that deliver measurable business value through secure, scalable GenAI systems. I help companies cut costs, boost productivity, and accelerate go-to-market with agentic AI and LLM-powered automation. My expertise spans multi-agent architectures, RAG systems, workflow automation, and private/local LLM hosting — turning prototypes into high-ROI business solutions. ♦ 10K+ hours of continuous working on Upwork ♦ Top Rated Plus ♦ Master’s degree in Computer Science/Engineering from prominent university ✨ KEY ACHIEVEMENTS ♦ Cut $12K/month in cloud API costs by deploying quantized local models (GGUF, Ollama, LM Studio). ♦ Accelerated onboarding by 4x, enabling faster customer activation and higher revenue velocity through multi-agent orchestration. ♦ Automated 70% of repetitive workflows (CRM updates, HR tasks, alerts, and reminders) using AI agents + n8n, freeing staff for higher-value work. ♦ Increased customer satisfaction by 35% with intent-aware prompting and contextual retrieval that reduced hallucinations. ♦ Reduced manual outreach labor by 80%, building AI-powered LinkedIn + email outreach with browser automation (Playwright). ♦ Achieved 60% faster response times in customer support by combining Pinecone vector search with optimized retriever-reader loops. 📖 USE CASES DELIVERED • AI-driven customer support agents (voice + chat) • Intelligent RAG knowledge assistants with verifiable citations • Healthcare conversational AI for patient intake & triage • AI-powered outreach automation (LinkedIn, email campaigns with browser automation) • Building an Intelligent Fact-Based Bot with LangChain and RAG • Voice-interactive AI using Vapi, and Voiceflow 🔧 EXPERIENCE & EXPERTISE ➥ AI Agents & Multi-Agent Systems • Built autonomous agents with reasoning, memory, and tool integration — reducing manual effort in complex workflows. • Designed multi-agent workflows (parallel, sequential, router, loop) that orchestrated tasks across sales, HR, and operations. • Applied cognitive & hybrid agent architectures, improving adaptability and decision accuracy. ➥ LLM Integration & Customization • Integrated OpenAI, Claude, LLaMA, Cohere into enterprise workflows with fallback strategies for uptime resilience. • Fine-tuned LLMs with domain datasets, delivering tailored, context-aware outputs. • Hosted private/local LLMs for regulated industries, ensuring compliance while lowering operational costs. ➥ Workflow Automation • Automated CRM updates, reminders, escalations, and ticketing using n8n-based pipelines. • Deployed real-time email and Slack bots that improved response times by 60%. • Created document parsing + validation workflows (OCR → LLM → structured outputs). ➥ RAG & Knowledge Systems • Built Agentic RAG pipelines that combined retrieval + reasoning, cutting hallucinations by 40%. • Implemented multi-pass reranking + retriever-planner loops, improving precision in enterprise search. • Scaled vector databases (Weaviate, Pinecone) with security controls and sharding. ➥ Deployment, Infra & Security • Delivered production-grade AI systems on AWS & Azure using Docker, Kubernetes, and CI/CD. • Implemented observability & tracing (LangSmith, AgentOps) to debug LLM unpredictability in real time. • Embedded guardrails, secrets management, and RBAC to align with SOC2, HIPAA, and GDPR. ➥ Computer Vision & Multimodal AI • Automated document OCR workflows, cutting processing times by 50%. • Combined vision + LLM reasoning to deliver multimodal assistants for healthcare and finance. 💻 TECHNOLOGIES EXCELLENCES ❒ LLMs • Models: OpenAI, Anthropic Claude, Cohere, Llama • Model Serving/Deployments: Hugging Face, Ollama, LM Studio, LLMLite, llms.txt ❒ Agent Frameworks • Frameworks: LangChain, LangGraph, CrewAI, OpenAI Agents SDK, AutoGen • Low Code Platforms: Relevance AI, LangFlow • Memory & State: LangMem, Redis ❒ Vector Search • Capabilities: Searching, Indexing, Filtering, Reranking, Quantization • Databases: Pinecone, Weaviate, Qdrant, ChromaDB ❒ AI Workflow Automation • n8n, Relevance AI, LangFLow • Voice & Dialog Systems: Voiceflow.ai, Vapi • Browser emulation and UI automation using PlayWright ❒ Computer Vision • Tools: Google Vision API, Tesseract OCR, EasyOCR, OpenAPI, Claude API ❒ Observability, Logging, Tracing • Capabilities: Detect hallucinations, regressions, latency, Monitor sessions, cost spikes, Failure Detection • Tools: LangSmith, AgentOps, LangWatch, LangFuse, LangTrace ❒ Miscellaneous • Prog. Languages: Python, Node.js, Bash, TypeScript • Python: FastAPI, Numpy, Pandas, Matplotlib • Claude Code AI, Cursor AI, Windsurf, VS Code • Notebooks: JupyterLab, Google Colab • Streamlit, Gradio, Firecrawl

Hello! I am a passionate and versatile technophile with over six years of experience in DevOps engineering. My unique blend of skills allows me to bridge the gap between development and operations, driving efficiency and innovation across projects. I thrive on tackling new challenges that push me to grow and deliver exceptional solutions. 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝘾𝙡𝙤𝙪𝙙 𝙄𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚: Expertise in designing, implementing, and managing cloud infrastructure on AWS, leveraging services such as EC2, S3, RDS, Lambda, and ECS clusters. 𝘾𝙄/𝘾𝘿 𝙋𝙞𝙥𝙚𝙡𝙞𝙣𝙚𝙨: Proficient in setting up and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI/CD, GitHub Actions, and CircleCI, ensuring smooth and automated deployment processes. 𝙄𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙖𝙨 𝘾𝙤𝙙𝙚 (𝙄𝙖𝘾): Hands-on experience with Terraform, AWS CloudFormation, and Pulumi, enabling efficient and repeatable infrastructure management. 𝘾𝙤𝙣𝙩𝙖𝙞𝙣𝙚𝙧𝙞𝙯𝙖𝙩𝙞𝙤𝙣 𝙖𝙣𝙙 𝙊𝙧𝙘𝙝𝙚𝙨𝙩𝙧𝙖𝙩𝙞𝙤𝙣: Skilled in Docker, Kubernetes, Containerd, and CRI-O, facilitating scalable and resilient application deployments. 𝙈𝙤𝙣𝙞𝙩𝙤𝙧𝙞𝙣𝙜 𝙖𝙣𝙙 𝙇𝙤𝙜𝙜𝙞𝙣𝙜: Adept at using Datadog, Prometheus, and Grafana to monitor system health and performance, providing comprehensive visibility and proactive issue resolution. 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: 𝘼𝙜𝙞𝙡𝙚 𝙈𝙚𝙩𝙝𝙤𝙙𝙤𝙡𝙤𝙜𝙞𝙚𝙨: Experience working within Agile frameworks like Scrum and Kanban, utilizing tools such as Jira and Trello to manage project workflows and ensure timely delivery. 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞? My dual expertise in web development and DevOps engineering uniquely positions me to understand and address the full spectrum of project requirements. I excel at creating robust, scalable applications while ensuring that the underlying infrastructure is secure, efficient, and easy to manage. My commitment to continuous improvement and collaboration makes me a valuable addition to any team. If you are looking for a seasoned professional who can elevate your web development projects and optimize your cloud infrastructure, let's connect and explore how we can achieve your goals together. Cheers!

I help design and build AI-powered products, scalable backend systems, APIs, integrations, and cloud infrastructure that solve real business problems. I'm a senior software engineer with 8+ years delivering production systems across Fintech, SaaS, and AI environments. My focus is reliable software that scales, integrates cleanly, and creates measurable business value. What I can help you with: - Backend architecture and development - AI product backends, agent systems, RAG, and data pipelines - REST APIs, microservices, and event-driven systems - Third-party integrations (payments, accounting, ecommerce, ads platforms, auth providers) - Cloud infrastructure (AWS / GCP) and CI/CD pipelines - Performance optimization and reliability improvements - Debugging difficult production issues - Turning vague business requirements into production-ready systems Relevant Experience: ✓ Built distributed systems analyzing advertising performance for high-budget campaigns ✓ Developed fintech platforms with financial and accounting integrations ✓ Built secure authentication and authorization services ✓ Designed scalable event-driven architectures ✓ Created structured/unstructured data pipelines for AI/LLM workflows 🧰 Tech Stack Languages: Python, Rust Frameworks: FastAPI, Flask AI & Agents: Claude API, OpenAI API, LangGraph, RAG, LLM orchestration Databases & ORM: PostgreSQL, MySQL, Firestore, Redis, SQLAlchemy Cloud & DevOps: AWS (S3, Lambda, EC2, ECS), GCP, Docker, Terraform, Pulumi, GitHub Actions, GitLab CI/CD Data & Automation: Airflow, Pandas, PySpark, dbt, Airbyte Testing & Monitoring: Pytest, Sentry, Datadog, Papertrail Integrations: Stripe, Plaid, Auth0, Shopify, NetSuite, Xero, QuickBooks, Codat, Salesforce, Fivetran

🚀 Build, Automate, Scale: DevOps Practice That Delivers. 🔧 Kubernetes, CI/CD, Terraform, AWS, Azure. Your Infrastructure, Optimized. ☁️ From Zero to Production-Ready Cloud, Faster and Securely. Looking for a DevOps Engineer who can build, automate, and scale your infrastructure with confidence? I help tech teams and startups transform cloud environments into secure, high-performing systems, fast and efficiently. 🔧 Experienced DevOps Engineer with 10+ years in cloud infrastructure ☁️ Delivered 50+ cloud-native projects on AWS & Azure 📉 Reduced cloud costs by 30–50% through architecture & automation 🚀 Helped reduce deployment times by 70% across multiple CI/CD pipeline setups 🔐 Delivered SOC 2 & ISO 27001-ready infrastructure for production apps 💼 How I Help Clients as a DevOps Engineer ✅ Startups – Build secure, scalable cloud environments from day one ✅ Engineering Teams – Automate deployments, reduce downtime, increase velocity ✅ CTOs & Founders – Gain peace of mind with documented, production-grade systems ✅ Agencies – Use white-label DevOps templates for faster client delivery ✅ Cloud Migrations – Move apps to AWS, Azure, or Kubernetes with zero downtime As a DevOps Engineer, I deliver reliable systems that scale with your users and your goals. 🏭 DevOps in SaaS & Retail: 10 Real-World Examples 🔹 SaaS Companies: 1. Set up multi-tenant AWS infrastructure with environment isolation (dev/stage/prod) 2. Implemented zero-downtime CI/CD pipelines using GitHub Actions and Kubernetes 3. Enabled SOC 2 Type II compliance with infrastructure-level security controls 4. Automated infrastructure provisioning with Terraform, reducing setup time by 90% 5. Integrated autoscaling and self-healing services for microservices-based platforms 🔹 Retail & eCommerce Platforms: 6. Designed high-availability architecture with multi-AZ failover and load balancers 7. Implemented cost-optimized Kubernetes clusters for peak-season traffic scaling 8. Integrated real-time monitoring and alerts for critical checkout & payment systems 9. Migrated monolithic app to microservices on Azure AKS, improving release cycles 10. Built a disaster recovery setup with automated daily backups and region failover Whether you’re building a SaaS platform or running a high-traffic eCommerce store, I tailor DevOps solutions to your performance, compliance, and scaling needs. 🛠️ DevOps Engineer Skill Set • Cloud Platforms: AWS (certified), Azure, GCP • Infrastructure as Code: Terraform, Pulumi, CloudFormation • Containers & Orchestration: Docker, Kubernetes (EKS, AKS), Helm, EC2, Fargate • CI/CD: GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps • Security & Monitoring: IAM, SSO, secrets management, Prometheus, Grafana, CloudWatch 💡 Why Work With This DevOps Engineer? ✔️ Scalable, production-ready infrastructure ✔️ Automation that saves time and reduces risk ✔️ Built-in compliance & security ✔️ Documentation and proactive support ✔️ I speak business and DevOps fluently Ready to Work with a DevOps Engineer Who Understands SaaS and Retail? If you’re building infrastructure that needs to scale and perform under pressure, let’s talk. 👉 Send me a message today and let’s build something that lasts.