I'm a passionate Software Engineer and Backend Developer specializing in Artificial Intelligence and Machine Learning with a strong focus on building robust backend systems and scalable cloud-native applications.
- 🚀 Backend Development: Building high-performance, scalable systems
- 🤖 AI/ML: Developing intelligent solutions and MLOps pipelines
- 💡 Product Mindset: Delivering impactful, user-centric solutions
- Software Engineering Roles
- Backend Developer Positions
- AI/ML Engineer Positions
- Open Source Collaborations
A complete, production-ready full-stack e-commerce platform built with Next.js 14 (frontend), Core Java 17 (monolith backend), and Spring Boot Microservices (scalable backend). Features AI-powered recommendations, NEXA AI chatbot, voice assistant, fraud detection, price history analysis, and more!
A full-stack AI-powered student management platform with role-based portals for admin, faculty, students, and parents, featuring attendance, analytics, GPA tracking, curriculum management, reports, notifications, and academic support tools.
Comprehensive Django-based hospital and clinic management platform. Manages patients, appointments, admissions, EHR, prescriptions/PDFs, pharmacy and billing. Includes role-based dashboards, real-time chat, Celery tasks, DRF APIs documented with drf‑spectacular, and SSLCommerz payments.
A secure Django-based To-Do List application with user authentication, task management, and responsive design. Features include user registration, login/logout, CRUD operations for tasks, and custom error pages. Built with Django 5.0, HTML5, CSS3, and SQLite/PostgreSQL support. Ready for deployment with Docker.
Advanced UPI Fraud Detection System using machine learning and deep learning techniques. Features real-time transaction monitoring, multi-model ensemble detection, and interactive dashboard Visualization.
A web3 voting system that ensures secure voter authentication, immutability of votes, and transparent, real-time election results using cryptographic methods and smart contracts on the Ethereum blockchain.
**Rooman Technologies and Collaboration with IBM ** | SEP 2024 - FEB 2025
- Designed and implemented CI/CD pipelines using Jenkins
- Provisioned and managed cloud infrastructure on AWS using Terraform
- Containerized applications using Docker and orchestrated with Kubernetes
- Automated configuration management with Ansible
- Collaborated with cross-functional teams to deliver production-ready features
| Recognition | Details |
|---|---|
| Top Contributor | Active open source contributor with multiple contributions |
| Project Completion | Successfully delivered end-to-end DevOps project |
| Academic Excellence | Consistent high performance in AI/ML coursework |
Learning:
- Advanced MLOps
- Cloud Native Architectures
- Generative AI
Building:
- ML Pipeline Automation
- Scalable Web Applications
- Open Source Tools
Exploring:
- Kubernetes Ecosystem
- Serverless Computing
- LLM Applications
Open To:
- Full-time Roles
- Freelance Projects
- Open Source Collaborations
"Code is like humor. When you have to explain it, it’s bad."