Backend
Python, FastAPI, Django, Node.js, Express, Go, REST APIs, middleware, validation
Hello, I'm
Umesh Rajbanshi
Backend Developer | Cloud Engineer
I build backend systems with authentication, role-based access, databases, Docker, and AWS deployment. My work includes restaurant POS systems, LMS platforms, banking APIs, and serverless cloud applications.
API design
Authentication & RBAC
PostgreSQL / MongoDB
Dockerized delivery
AWS deployments
CI/CD pipelines
Current focus
- Backend
- Python, FastAPI, Go, Node.js
- Cloud
- Docker, AWS ECS, Terraform
- Systems
- ORM internals, auth, deployment flow
ENGINEERING PROFILE
Backend work with production habits.
I'm an Electronics, Communication and Information Engineering graduate from Advanced College of Engineering and Management, focused on backend engineering, cloud systems, and AI-driven applications.
I build backend systems using Django, FastAPI, Node.js, Go, PostgreSQL, MongoDB, Docker, AWS, and GitHub Actions. My project work spans REST APIs, authentication, role-based access control, database design, cloud deployment, serverless workflows, and AI/ML systems involving computer vision, deep learning, YOLO, MiDaS, and voice-guided navigation.
I am currently working as a backend trainee, contributing to API design, authorization flows, database structure, documentation, and backend project planning. My goal is to build systems that are clear, reliable, and practical enough for real-world use.
01
Backend Systems
I build APIs, authentication flows, role-based access control, database-backed features, and structured backend modules using Django, FastAPI, Node.js, and Go.
02
Cloud & Deployment
I work with Docker, AWS, GitHub Actions, Terraform, logs, secrets, and deployment workflows to move projects beyond local development.
03
AI/ML Engineering
I have built AI/ML-based projects involving computer vision, deep learning, YOLO object detection, MiDaS depth estimation, and voice-guided assistive navigation.
CAPABILITY
The practical stack behind the work.
A focused set of tools and engineering concerns I use to build backend systems that are clear, deployable, and reliable.
Data
PostgreSQL, MongoDB, SQLite, schema design, migrations, transactions, repositories
Auth
JWT, RBAC, protected routes, account ownership, role-based dashboards, secure API access
Cloud
AWS EC2, S3, Lambda, API Gateway, DynamoDB, RDS, IAM, VPC, ECS, ECR, ALB, Route 53, CloudWatch, SSM, serverless workflows, container deployment
Delivery
Docker, Terraform, GitHub Actions, CI/CD, environment configuration, deployment automation
AI/ML
NumPy, Pandas, EDA, scikit-learn, model evaluation, TensorFlow, PyTorch, CNNs, RNNs, transformer basics, YOLO, MiDaS, computer vision
RESUME
Training, education, and applied engineering.
Education, cloud training, backend projects, and the technical stack I use to build production-oriented systems.
Backend & Cloud Engineer
Restrox Restaurant Management System
- Built a multi-role restaurant management system with Admin, Manager, Waiter, and Chef workflows.
- Implemented JWT authentication, RBAC, inventory management, QR ordering, and real-time kitchen/order updates.
- Deployed backend infrastructure using AWS ECS Fargate, ECR, ALB, ACM, SSM Parameter Store, CloudWatch, and GitHub Actions.
Node.jsExpress.jsMongoDBSocket.IODockerAWSTerraform
Full Stack Developer
DAAI Fellowship Platform
- Built a fellowship learning management platform with public pages, admin dashboard, and fellow dashboard.
- Worked on course/track flow, quiz modules, learning management features, and role-based navigation.
- Improved dashboard structure, frontend routing, and overall user experience for fellows and admins.
FastAPIReactMongoDBTailwind CSSRBACLMS
SELECTED SYSTEMS
Project work with backend depth.
Not just screenshots. These are systems shaped around APIs, auth, role boundaries, databases, cloud delivery, and operational thinking.
Backend & Cloud
Backend architecture, cloud deployment, infrastructure automation
Restrox Restaurant Management System
Production-style restaurant management system with role-based workflows, QR ordering, inventory management, and real-time kitchen/order updates.
Engineering outcome
A production-shaped restaurant platform with authenticated roles, live operational updates, and deployable AWS infrastructure.
JWT auth and role permissions
Real-time kitchen/order events
Containerized service delivery
ECS Fargate, ALB, ECR, SSM, CloudWatch
Terraform and GitHub Actions pipeline
Node.jsExpress.jsMongoDBSocket.IODockerAWS ECSECR
Full Stack / LMS
Full-stack product engineering across public, admin, and fellow workflows
DAAI Fellowship Platform
Fellowship learning management platform with public website, admin dashboard, fellow dashboard, quiz modules, course/track flow, and role-based navigation.
Engineering outcome
A learning platform structured around role-based access, course progress, quizzes, and dashboard workflows.
FastAPI backend patterns
Admin and fellow dashboard flows
Role-based navigation
Quiz and learning track modules
MongoDB-backed application data
FastAPIReactMongoDBTailwind CSSRBACLMS
Source private
Go Backend
Backend API design and data ownership modeling
Banking API App
Banking backend application built with Go to practice clean project structure, middleware, response helpers, PostgreSQL repositories, migrations, safe DB transactions, register/login, protected routes, and account ownership.
Engineering outcome
A Go API exercise focused on correctness: protected routes, safe transactions, repository boundaries, and account ownership.
Register/login and JWT middleware
PostgreSQL repositories
Database migrations
Safe transaction handling
Account ownership checks
GoPostgreSQLREST APIMiddlewareJWTTransactions
Source private
TECH WRITING
Engineering Notes & Blog
Thoughts, build logs, and technical notes from my backend, cloud, DevOps, AI, and system design learning journey.
MLOps / DevOps
10 Feb 20265 min read
MLOps Essentials: Containerizing Deep Learning Models with Docker
A practical note on packaging computer vision models like YOLO and MiDaS using Docker and CI/CD-friendly workflows.
DockerMLOpsYOLOMiDaSGitHub Actions
Read ArticleCloud Operations
05 Feb 20267 min read
Scaling Backend Infrastructure on AWS: From EC2 to VPC Security
Lessons learned while setting up secure and scalable AWS infrastructure for production-style backend systems.
AWSEC2VPCSecurityBackend
Read ArticleCONTACT
Let's talk about the backend.
Send a message about backend systems, cloud deployment, internships, engineering roles, or production-focused project work.
Based inKathmandu, Nepal