I am a full-stack software engineer with experience building internal tools, administrative dashboards, scalable backend services, and automated deployment workflows. I work primarily with TypeScript, Python, React, Node.js, and modern cloud-native infrastructure.
I have developed authenticated APIs, microservices, and RESTful services with a focus on performance, reliability, logging, monitoring, and maintainable architecture. My work has helped reduce feature onboarding time, deployment effort, service coupling, and rollback frequency.
I am experienced in frontend development using React, Next.js, Redux, and Chart.js, including the delivery of modular multi-tenant admin panels, dashboards, and learning management system interfaces. I collaborate closely with product, design, QA, and DevOps teams in agile environments.
I use Docker, Kubernetes, CI/CD pipelines, GitHub Actions, Jenkins, Terraform, AWS, and GCP to automate releases and operate production workloads. I have contributed to services that achieved 99.9% uptime and supported more than 50,000 users globally.
I am also interested in AI-enabled developer workflows and machine learning applications. I have built an LLM-powered pull-request reviewer using LLaMA 3.1, an AI product-listing optimizer, and a TensorFlow CNN application for skin cancer classification.
I bring a practical engineering mindset centered on scalable systems, automation, quality, and measurable product improvements. I am motivated by solving real-world problems through reliable full-stack software and intelligent workflows.
