|
I'm a Full Stack Developer and Cloud Engineer building scalable, production-grade systems across web, cloud, and AI domains. I architect end-to-end solutions — from responsive React frontends to containerized backend services deployed on AWS — with a strong emphasis on CI/CD automation, infrastructure-as-code, and system reliability. I have hands-on experience deploying real-world applications with Docker and Kubernetes, automating infrastructure with Terraform and Ansible, and integrating AI/ML capabilities into production pipelines. I hold the AWS Certified Solutions Architect – Associate certification and bring a DevOps-first mindset to every project I build. Currently focused on: MERN stack engineering, cloud-native architectures, and AI-driven automation systems. |
|
Languages
Frontend
Backend
Testing & Automation
Code Quality & Security
Databases
Cloud & DevOps
Tools & Systems
🔐 AI-Powered Payment Fraud Detection System - https://fraudshield-c61m.onrender.com/
Python FastAPI React TensorFlow AWS Docker
- Built a real-time fraud detection engine processing 10,000+ transactions/day with 92%+ model accuracy using TensorFlow-based classification pipelines.
- Engineered low-latency REST APIs with FastAPI achieving sub-120ms response times, containerized via Docker, and deployed on AWS for 99.9% uptime.
- Developed an interactive React dashboard for live transaction monitoring, alert management, and fraud trend visualization.
Python Docker Kubernetes Terraform Ansible GitHub Actions AWS
- Designed an AI-driven QA automation framework that reduced manual testing effort by 60% across multi-service enterprise pipelines.
- Orchestrated containerized workloads on Kubernetes with Terraform and Ansible for fully automated, reproducible infrastructure provisioning.
- Implemented GitHub Actions CI/CD pipelines integrated with Prometheus and Grafana monitoring, achieving 99.9% service reliability.
React Node.js Express.js MongoDB AWS Docker Tailwind CSS
- Built a full-stack MERN application with secure JWT/OAuth authentication, dynamic property search, and optimized MongoDB queries supporting 1,000+ concurrent users.
- Delivered a responsive, accessible UI with React and Tailwind CSS; deployed via Docker on AWS with automated CI/CD workflows.
- Designed RESTful APIs with Express.js, implementing indexing and query optimization for consistent sub-200ms database response times.
Python Linux Networking
- Built a Linux-native packet inspection tool capable of monitoring 5,000+ packets/second with real-time anomaly detection and automated alerting.
- Reduced mean-time-to-debug network issues by 35% through structured logging, anomaly flagging, and configurable monitoring pipelines.
- Designed with observability-first principles — full packet capture, protocol inspection, and structured diagnostic reports.
