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About Me

I’m a Software and Electrical Engineer with more than a decade of experience in Cloud, DevOps, IoT, AI, Firmware, and Quality Assurance.

My specialty is helping startups and co-founders build products from invision to live launch. From infrastructure setup to software development, from process definition to DevOps and QA automation, I provide the end-to-end technical leadership needed to scale confidently.

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How I Can Help?

Foundation Setup & Administration

Set up company emails (Google Workspace, Microsoft 365, custom domains).

Configure DNS, SSL, and web hosting environments.

Manage administrative platforms and licenses (Microsoft Teams, Azure AD, Google Cloud, etc

Set up organization-level tools like Jira, Confluence, Slack, and Bitbucket.

Cloud Architecture & Infrastructure Setup

Design and implement cloud architectures on Azure, AWS, GCP and etc.

Architecture Patterns: Microservices, Monolithic, Serverless, and Event-Driven Designs

AWS (EC2, Lambda, IoT Core, S3), Azure (VMs, AKS, App Services, Event Hub, OpenAI)

Implement cloud security best practices and resource monitoring.

Optimize cost, performance, and high availability.

DevOps, Monitoring & Scaling

CI/CD pipeline setup using Jenkins, ArgoCD, Azure DevOps, GitHub Actions.

Manage Kubernetes clusters, Docker registries, and containerized workloads

Implement automated monitoring & alerting (Prometheus, Grafana, CloudWatch, Azure Monitor).

Setup logging, backup, and recovery systems.

Continuous performance tuning & infrastructure scaling

Use Infrastructure as Code (Terraform, Kubernetes) for repeatable environments.

Manage and Configure Cloud Resources using Ansible .

Software Development & Automation

Full-stack development (Backend + Frontend + APIs + Mobile).

Architect software using microservices, monolithic, and serverless models.

Select the right tech stack for each product (Java, Python, Node.js, React/Next.js, Angular, Spring Boot).

Integrate third-party APIs, analytics, and payment gateways.

Build SaaS platforms, web apps, dashboards, and IoT systems.

AI, IoT, Firmware & Advanced Integrations

Integrate GPT-3, GPT-4, and open-source LLMs for automation and chatbots.

Train custom datasets for domain-specific AI models.

Design and develop IoT devices, firmware, and hardware.

Integrate energy systems like solar inverters, BMS, and sensors using MQTT, Modbus, CANBus.

Recent Projects

End-to-End Automated CI/CD Pipeline with Jenkins, Argo CD, Terraform & Ansible

This CI/CD pipeline automates the complete software delivery process from code commit to production deployment. Jenkins handles the CI phase — building Docker images, running unit and integration tests with SonarQube, and updating Helm manifests. Argo CD manages CD through GitOps, automatically deploying changes across Dev, Stage, and Production environments. Post-deployment, API and UI tests are executed using Postman and Selenium. Terraform provisions and manages the underlying infrastructure, while reporting is integrated via Jira, Teams, and Email for complete visibility.

Kubernetes-Based Microservices Architecture with CI/CD and GitOps

This project demonstrates a scalable and resilient microservices architecture deployed on Kubernetes, designed for seamless automation, monitoring, and high availability. The system integrates Jenkins for CI/CD automation, Helm for configuration management, and Argo CD for continuous deployment using GitOps principles. Each environment — Dev, Stage, and Preprod — runs isolated namespaces for efficient testing and delivery. Services are backed by Redis, Kafka, and MySQL, with Grafana and Prometheus providing robust observability and monitoring. This architecture ensures fast, reliable deployments, easy scalability, and simplified maintenance — embodying the best practices of modern cloud-native systems.

RAG-based Chatbot using Azure OpenAI

Developed a Retrieval-Augmented Generation (RAG) chatbot leveraging Azure OpenAI (GPT/ChatGPT) integrated with Azure AI Search for intelligent knowledge retrieval. The system fetches data from multiple sources including SQL databases, files, and Cosmos DB, enriching model responses with real-time context. The App Server Orchestrator handles user interactions from the front-end UI and coordinates queries between AI Search and GPT. This implementation ensures accurate, context-aware responses while maintaining data privacy within Azure infrastructure.

Testimonials

Customer Voices Hear What They Say !

This project showcases a fully automated and reliable CI/CD pipeline that simplifies software delivery from development to production. By integrating Jenkins, Argo CD, and Terraform, it ensures seamless builds, testing, deployments, and infrastructure management. The process not only enhances efficiency and code quality but also provides real-time visibility and collaboration through integrated reporting tools — a perfect example of modern DevOps in action