Hi, I'm Adrian đź‘‹

Fullstack software engineer

ANR

About

Software engineer experienced in fullstack development and data-intensive applications, with hands-on work in backend server and cloud-based data processing using various databases and ingestion tools as well as academic research related to Artificial Intelligence and Computer Vision. Passionate about bridging software engineering and cloud operations to build efficient, production-ready systems.

Work Experience

R

Riset.ai

September 2021 - March 2026
Software Engineer
Develop various AI-powered applications and services such as face-verification digital signage, AI avatar video platform, and textile defect detection
P

PT Dgas Alam Semesta

March 2021 - July 2021
Freelance Software Engineer
Developed Graphical User Interface that enables inventory-tracking of corporate assets and human resource
P

PT Dirgantara Indonesia

February 2020 - June 2020
Intern Software Engineer
Developed a web-based architecture to streamline flight test data insertion, Extract-Transform-Load (ETL) and query for flight test analysis purposes

Education

G

Gadjah Mada University

2024 - 2026
Master's of Computer Science(M.Cs) in Computer Science
I

International University Liaison Indonesia

2017 - 2021
Bachelor's of Computer Science(S.Kom) in Computer Science

Skills

Python
Go
Javascript
Typescript
Dart
C++
FastAPI
Django
Flask
Node
React
Vue
Flutter
PostgreSQL
MongoDB
Redis
PyTorch
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

Felix Natalis

Felix Natalis

A birthday reminder backend microservice written in Node.js and TypeScript. It registers users with their birthday and timezone, schedules notification jobs using a Redis-backed queue, and delivers birthday messages via configurable notification channels

Typescript
Express
Node.js
MongoDB
BitTrack

BitTrack

An effort to combat money-laundering, fraud, scam, and illegal transactions within cryptocurrency network. BitTack, flags suspicious cryptocurrency transactions using both traditional machine learning and deep learning approaches.

Python
FastAPI
MongoDB
PyTorch
Google Cloud Platforms
Project Odysseus

Project Odysseus

A web-based news platform site utilizing Ethereum blockchain’s distributed ledger as a mean to disincentivize the spread of fake news and avoid media censorship.

Javascript
Vue.js
Node.js
MongoDB
Solidity
Project Adversarial

Project Adversarial

Defense against adversarial patch attack in deep learning-based pedestrian detection utilizing compression-based segmentation, traditional feature-based classifier augmented with Generative Adversarial Network to perform image inpainting in areas occluded by adversarial patch.

Python
PyTorch
Scikit-learn
YOLOv5
Awards

Achievements & Recognition

A collection of awards and recognitions I've received throughout my career.

Top 10 Finalists - Bank Indonesia Hackathon 2024
JCC Senayan, Jakarta, IndonesiaAugust '24

Top 10 Finalists - Bank Indonesia Hackathon 2024

Top 10 Finalist in Bank Indonesia Hackathon 2024 out of 2,200 participants and 450+ proposal. Led a team of four to develop BitTrack, an app that flags suspicious cryptocurrency transactions using machine learing and deep learning, enabling users to track Bitcoin address trust scores and improve ecosystem accountability.