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I help startups and enterprises build scalable SaaS platforms, AI-powered applications, cloud-native systems, and high-performance web applications. With 15+ years of software engineering experience, I bring end-to-end expertise from system architecture and development to AWS deployment, DevOps automation, and production optimization. 🚀 Full-Stack Application Development Frontend: React.js, Next.js, Vue.js, TypeScript, JavaScript Backend: Python (FastAPI, Django, Flask), Node.js, NestJS REST APIs, Microservices, GraphQL, WebSockets Database Design: PostgreSQL, MySQL, MongoDB Scalable, clean, and maintainable architecture 🤖 AI & Intelligent Application Development AI SaaS applications & AI agent development OpenAI ChatGPT, Claude, LLM API integrations RAG systems, vector databases, AI automation workflows AI-powered chatbots and intelligent assistants ☁️ AWS Cloud, Microservices & DevOps AWS Serverless Development (Lambda, API Gateway, S3, DynamoDB, RDS, SQS, SNS, SES) Microservices architecture and cloud-native applications Docker, Kubernetes, Terraform, CloudFormation CI/CD with GitHub Actions, GitLab CI/CD, Jenkins Infrastructure as Code (IaC), monitoring, logging, and AWS cost optimization 🏆 Certifications AWS Certified DevOps Engineer – Professional AWS Certified Solutions Architect – Associate AWS Certified Developer – Associate AWS Certified Cloud Practitioner HashiCorp Certified Terraform Associate Why Clients Work With Me ✔ End-to-end ownership: Architecture → Development → Deployment ✔ Strong experience with SaaS, AI products, and enterprise applications ✔ Secure, scalable, and cost-optimized cloud solutions ✔ Clean code, automated testing, and reliable delivery ✔ Clear communication and a long-term technology partnership Whether you need a Full-Stack Developer, FastAPI/Python Engineer, Node.js/NestJS Developer, React/Next.js Expert, AI Application Developer, or AWS DevOps Engineer, I can help turn your ideas into production-ready solutions. Let’s build scalable, secure, and future-ready applications together.

I am an AI-focused Python developer with 13+ years of experience building Django, Flask, and Node.js systems, specializing in AI/LLM integration and workflow automation that takes manual work off your team's plate. I help startups and small teams ship AI features that hold up in production (not just in a demo), automate the repetitive parts of their workflow, and build backend systems that scale without needing a full in-house engineering team. 𝗪𝗵𝗲𝗿𝗲 𝗜 𝗵𝗲𝗹𝗽: - AI & LLM integration: chatbots, content automation, and intelligent data processing, built on Django, Flask, or Node.js - Workflow automation: Python scripts, n8n flows, and API integrations that remove repetitive manual work from your team's day. - Backend & API development: REST/GraphQL APIs in Django, FastAPI, Flask, and Node.js/Nest.js, built to scale and documented so someone other than me can maintain them. Across those 13+ years, I've also maintained a live Chrome extension for LinkedIn Sales Navigator, so wiring new logic into an existing product, not just greenfield work, is a territory I'm comfortable in. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸: I scope the problem clearly before writing code, and send regular updates instead of going quiet for a week, and test before handoff instead of after you find the bug. 🫡 ROLES I TAKE ON 🫡 • AI / LLM Engineer in Python - building production-ready AI systems, RAG pipelines, and LLM-powered apps • AI Agent Python Developer - designing multi-agent systems and workflow automation with Python • Python Backend Developer (FastAPI / Django) - building scalable APIs and SaaS backends • Machine Learning Engineer in Python - developing predictive models and NLP systems • Data Engineer (Python) - designing automated ETL pipelines and large-scale data systems • Cloud / DevOps Engineer (AWS, GCP) - delivering scalable infrastructure and CI/CD pipelines automation • RAG & Document AI Developer in Python - developing document processing systems, embeddings, and knowledge retrieval • Python System Architect Developer (Microservices / AI Systems developer) - designing high-load, distributed architectures 👉 Looking to build an AI or LLM-powered system? Click “INVITE TO JOB” to reach out, I’m happy to discuss your project and suggest the best approach! Choose the best AI engineer and Python developer to build data platforms, APIs, automation systems, and scalable web applications together!

I help startups, SaaS companies, and enterprises design, build, secure, and optimize production-ready AWS cloud infrastructure that can scale with their business. With 10+ years of DevOps and DevSecOps experience, I work across AWS, Kubernetes, Terraform, CI/CD, cloud automation, security, observability, and AI-assisted engineering. My focus is simple: reliable infrastructure, faster deployments, stronger security, predictable costs, and systems that are built to scale. 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 𝗙𝗼𝗿 𝗬𝗼𝘂 - Production-ready AWS cloud infrastructure designed for scalability, availability, and security. - Terraform-based Infrastructure as Code (IaC) for repeatable and automated infrastructure deployment. - Kubernetes platforms using Amazon EKS, Docker, Helm, and GitOps-based deployment practices. - Automated CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and AWS DevOps services. - Secure cloud environments with IAM, VPC, WAF, security controls, secrets management, and DevSecOps practices. - Cloud migration, modernization, disaster recovery, high availability, monitoring, and performance optimization. - Reliable SRE and production operations with automation, observability, incident response, and ongoing infrastructure improvements. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 - AWS: EC2, ECS, EKS, S3, RDS, Lambda, VPC, IAM, Route 53, CloudFront, WAF, ALB/NLB, Auto Scaling, CloudWatch - Infrastructure: Terraform, Helm, Docker, Kubernetes, Ansible, Linux, Bash, Python - CI/CD & GitOps: GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, Git, YAML - Monitoring & Observability: CloudWatch, Prometheus, Grafana, Datadog, logging, alerting, tracing Security & DevSecOps: IAM, Secrets Manager, Vault, SAST/DAST, vulnerability scanning, security gates, least-privilege architecture - AI-Assisted Engineering: OpenAI GPT models, Anthropic Claude, Google Gemini, GitHub Copilot, Cursor, Amazon Q Developer - Backend & Web Infrastructure: Python, Node.js, Nginx, REST APIs, PostgreSQL, MySQL, Redis - Cloud Architecture: AWS Well-Architected practices, high availability, autoscaling, disaster recovery, cloud migration, FinOps/cost optimization 𝗣𝗿𝗼𝘃𝗲𝗻 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 - Built and managed secure, scalable AWS environments for production applications and SaaS platforms. - Automated infrastructure provisioning with Terraform, reducing manual configuration and improving consistency. - Implemented CI/CD pipelines that make application releases faster, repeatable, and safer. - Containerized applications using Docker and Kubernetes/EKS for improved scalability and deployment flexibility. - Improved production reliability through monitoring, alerting, automation, and SRE practices. - Helped optimize cloud infrastructure for better performance, availability, and cost efficiency. - Hardened cloud environments using IAM, networking, secrets management, security controls, and DevSecOps automation. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 I first understand your existing infrastructure, application requirements, business priorities, and operational challenges before recommending changes. Then I build or improve the environment using automation, Infrastructure as Code, security best practices, testing, and clear documentation. I focus on solutions that are practical to maintain after handover—not infrastructure that only works while the engineer who built it is present. 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 𝗙𝗼𝗿 - AWS Cloud Architecture & Infrastructure - Terraform / Infrastructure as Code - Kubernetes, EKS, ECS & Docker - CI/CD & DevOps Automation - GitHub Actions, GitLab CI, Jenkins & ArgoCD - DevSecOps, Cloud Security & Infrastructure Hardening - Monitoring, SRE, Performance & Cost Optimization - Cloud Migration, Production Support & Long-Term DevOps Partnership

Hi, I’m Raghav Daga, a DevOps and AWS Cloud Engineer helping startups and SaaS teams deploy secure, scalable, and automated production systems on AWS. I specialize in container-based deployments using ECS Fargate and Docker, end-to-end CI/CD automation with GitHub Actions, and real-world backend deployments using FastAPI and Node.js. Recent work: deployed a production EV Charger Management System on AWS — real-time IoT communication via MQTT, FastAPI microservices on ECS Fargate, automated billing, CloudWatch monitoring, and a full CI/CD pipeline. ─────────────────────────── 🛠 SERVICES I OFFER ─────────────────────────── • Design and deploy AWS infrastructure (VPC, EC2, ECS Fargate, ALB, RDS) for new and existing applications. • Containerize applications with Docker and set up CI/CD pipelines using GitHub Actions for automated, zero-downtime deployments. • Deploy and manage FastAPI / Node.js backends on AWS with structured logging, CloudWatch monitoring, and alerting. • Set up secure cloud networking — VPC architecture, IAM roles and policies, Security Groups, and Secrets Manager. • Optimize infrastructure for cost and performance — right-sizing, Auto Scaling, CloudWatch dashboards. • Migrate applications from basic servers to containerized, production-ready AWS environments. • Integrate real-time systems, async workers, and API gateways into scalable cloud-native architectures. ─────────────────────────── ⚙️ TECH STACK ─────────────────────────── • AWS: EC2, ECS Fargate, EKS, ECR, S3, Lambda, CloudWatch, IAM, VPC, Route 53, ALB, CloudFront • DevOps: Docker, GitHub Actions, Terraform, Kubernetes, Linux Administration, Nginx • Backend: Python / FastAPI, Node.js / Express, PostgreSQL, MongoDB, Redis, REST APIs ─────────────────────────── ✅ WHY CLIENTS WORK WITH ME ─────────────────────────── • Production-focused: I build systems with security, uptime, and maintainability in mind — not just "it works on my machine." • End-to-end ownership: From infrastructure design to deployment, monitoring, and documentation, I manage the full workflow. • Startup-friendly: Comfortable with MVPs, fast iterations, and infrastructure that scales as you grow. • Strong fundamentals: Deep hands-on experience across AWS, containers, CI/CD, and backend systems — not surface-level. ─────────────────────────── 📩 LET'S WORK TOGETHER ─────────────────────────── If you need help deploying or scaling your application on AWS using modern DevOps practices, send me a brief message about your app, tech stack, and current challenges — and I'll suggest a clear plan. Keywords: AWS DevOps Engineer, ECS Fargate, Docker, GitHub Actions CI/CD, Terraform, Cloud Infrastructure, FastAPI Deployment, Node.js Deployment, React.js, CloudWatch Monitoring, VPC Networking, Kubernetes, IoT Systems.

I’m an AWS-certified backend and DevOps engineer with over 6 years of experience building scalable, secure, and efficient cloud infrastructures. I specialize in cloud automation, SaaS development, and AI/ML integration to help businesses optimize performance and scalability. What I Do Cloud & DevOps – Automating cloud deployments with Terraform, Kubernetes, and AWS to ensure reliability and scalability. Backend Development – Building high-performance microservices and serverless applications with Python and Golang. SaaS Development – Designing and scaling cloud-native SaaS platforms for growth and efficiency. AI/ML Integration – Implementing AWS AI services like Textract, Comprehend, and Rekognition to drive automation. Security & Compliance – Ensuring infrastructure security and compliance with IAM, VPC, WAF, Shield, and security best practices. Certifications AWS Certified Solutions Architect – Associate AWS Certified Cloud Practitioner Tech Stack Cloud & DevOps: AWS, Terraform, Kubernetes, Docker, GitLab CI/CD, Jenkins, CloudFormation, Ansible Programming: Python, Golang, Bash, Node.js Serverless & Microservices: AWS Lambda, API Gateway, FastAPI, Flask Databases: PostgreSQL, MySQL, DynamoDB, Redis Monitoring & Security: Prometheus, Grafana, New Relic, AWS CloudWatch, ELK Stack Networking & Infrastructure: VPC, Load Balancers, Route 53, CDN (CloudFront) AI/ML & Automation: AWS Textract, Comprehend, Rekognition, SageMaker, LangChain Let’s connect if you need help optimizing cloud infrastructure, scaling SaaS products, or automating workflows.

I build and ship production web applications end-to-end: TypeScript across the stack, React/Next.js frontends, Node/NestJS APIs, PostgreSQL with Prisma, and AWS infrastructure that I design, deploy, and maintain myself (Terraform - ECS Fargate, RDS, ALB, CodePipeline, VPC networking). Recent work includes a security/threat-intelligence platform I architected on AWS — multi-service backend, data pipelines processing domain-scan feeds, MITRE ATT&CK-mapped schema, CI/CD from Bitbucket to ECS. I've also built and delivered SaaS MVPs for startup founders (see reviews below) and long-term product work spanning 395+ hours with a single client. Where I'm most useful: • Building a SaaS product or MVP from zero to deployed — frontend, API, database, cloud, CI/CD • Adding AI/LLM features to existing products — API integrations, structured outputs, data pipelines • AWS work: architecture, cost optimization (I've cut infra bills by rethinking networking), deployments, managing with terraform . • Rescuing or extending an existing TypeScript/Node codebase in production I work with a security mindset — I've built threat-intelligence tooling and design systems with auth, data isolation, and compliance in mind, which matters if you're in education , fintech, healthcare or handling user data. Fluent English, comfortable with daily standups and US-overlap hours (IST evenings = US mornings). I own features end-to-end and communicate clearly in writing — you'll always know where things stand.