Muhammad Rivqi Al Varras
Full‑Stack Engineer Crafting scalable, intelligent, and efficient web solutions from frontend to backend.
About Me
Hi! I'm Varras, a full-stack engineer passionate about building scalable systems and intelligent applications. My expertise spans from designing responsive frontends to engineering robust backend architectures powered by Linux and APIs.
I thrive on solving real-world problems with clean, efficient code whether it's developing web, optimizing infrastructure, or crafting seamless user experiences. For me, great software is not just about functionality, but also maintainability and impact.
Education
Front-End and Back-End Developer
Built full-stack apps using Next.js, TypeScript, RESTful APIs, and PWA features.
Handled CI/CD setup, responsive UI, and MySQL database management.
Machine Learning Engineer
Completed ML courses covering NLP and computer vision projects.
Built sentiment analysis and image classification systems using deep learning.
Become AWS Cloud Engineer
Trained in AWS core services, security, and cloud architecture.
Used IAM, EC2, S3, and prepared for AWS Cloud Practitioner exam.
Universitas Jenderal Soedirman
Majoring in Electrical Engineering with focus on software systems.
Joined open source projects, practiced Linux, IoT, and algorithms.
Technical Expertise
Languages
- Javascript, Typescript
- Python, Golang, C++
Frameworks
- React, Next.js, Node.js, Express.js
- FastAPI, Django, Gin, Echo
Databases & Cloud
- AWS, GCP
- MongoDB
- PostgreSQL, MySQL, SQLite
Tools
- Git, VS Code, Postman
- Apache Spark, Node-RED, DBeaver
- Docker, Jenkins
Experience
Software Engineer@PT. AICORE Network Solution
- Contributed to frontend development for the Hisho AI web project by building UI components using React.js and Shadcn to enhance the user experience.
- Designed a smart LINE chatbot with GPT-4 Vision and Make.com to efficiently automate the image data extraction process.
Full-Stack Developer@Anoto
- Orchestrated the end-to-end development of anoto.my.id, a web platform powered by machine learning, building the frontend with Next.js and a backend using Hapi.js, TypeScript, and MySQL.
- Fully responsible for implementing the CI/CD pipeline with Jenkins and containerization using Docker to ensure reliable deployment for anoto.my.id.
Projects
Anoto Frontend
Developed a responsive frontend for the Anoto platform using Next.js, TypeScript, and Tailwind CSS. The project delivers a modern, intuitive, and seamless user experience.
Anoto Backend
Developed the robust backend for the Anoto platform, featuring a secure API built with Node.js, TypeScript, and Hapi.js. Manages all business logic and data persistence with MySQL.
Anoto Jenkins CI/CD
Established a full CI/CD pipeline using Jenkins and Docker to automate the build, test, and deployment cycle. This setup ensures rapid, consistent, and reliable software delivery.
Go-Budget
Built a personal finance management app with a secure RESTful API using Go and the Echo framework. Implemented JWT for authentication to ensure user data security with MySQL storage.
Log Analysis Web Server
Designed a scalable log analysis system to process high-volume data in real time. The architecture uses Apache Spark for processing and Docker Swarm for high-availability deployment.
Real-Time Server Humidity Monitoring
Created a real-time IoT monitoring system for server room humidity using an ESP32. Data is processed and visualized via a Node-RED dashboard, all containerized with Docker.