Hello, I'mDimas Arya Nurhakim
Bridging the gap between deep learning research and practical, user-centric software infrastructure.
About Me
AI Software Engineer | Machine Learning & Data Infrastructure
I am an AI Software Engineer driven by the thrill of discovering actionable insights hidden within complex data. With a foundation in full-stack web development and specialized expertise in machine learning, I focus on building intelligent systems that are not just cutting-edge, but fundamentally stable and practical. My engineering philosophy centers on creating highly usable, resilient infrastructure. Whether it is engineering microservices to isolate LLM workloads and protect core servers from crashing under heavy traffic, or systematically dismantling technical debt through rigorous architectural planning, I build AI solutions designed for the real world. I am currently exploring local LLM deployments and integrated data pipelines, always seeking the next challenge at the intersection of AI and scalable software engineering.
- Name:
- Dimas Arya Nurhakim
- Email:
- dimas.yans338@gmail.com
- Location:
- Bandung, Indonesia
- Available:
- Full-time / Part-time / Freelance
Technical Skills
From data processing and model development to deployment, here are the key technologies I use to build and maintain machine learning systems.
Languages & Databases
Python
SQL
PostgreSQLML & Data Science
TensorFlow
PyTorch
LangChain
Scikit-learn
Pandas
NumPyMLOps & Data Engineering
Docker
FastAPI
MLflow
AWS Sagemaker
StreamlitWeb & Tools
React
TypeScript
GitMy Projects
AllFresh: Laundry Service Management Platform
Developed a comprehensive web platform to digitize laundry operations, featuring real-time order tracking, customer management, and automated status notifications to improve efficiency and service quality.
Centralized Library Management System
An enterprise-grade web application built with the Spring Framework to manage core library functions, including digital book cataloging, member registration, and automated loan tracking.
Supermarket Sales Forecasting Model
Engineered a predictive model using Ridge Regression to forecast supermarket sales. The model incorporates external factors like weather data to improve trend prediction accuracy.
Bank Complaint Topic Modeling & Classification
Implemented an NLP solution to automatically classify and cluster consumer financial complaints. Utilizes K-Means for topic discovery and Random Forest for accurate categorization.
Aksara Sunda Optical Character Recognition (OCR)
A computer vision system based on YOLOv5 to detect and recognize the traditional Aksara Sunda script from images, contributing to the digital preservation of cultural heritage.
E-Library Mobile Application (Android)
A native Android application providing users with digital access to library resources, featuring book search, reservation capabilities, and personal borrowing history.
Pillars of Islam AR Learning App
An educational mobile app using Augmented Reality (AR) to teach elementary school students about the Pillars of Islam through interactive 3D models and lessons.
Bloodmoon: 2D Hack-and-Slash Platformer
A fast-paced 2D platformer game built in Unity, featuring fluid hack-and-slash combat mechanics, challenging levels, and a dark, atmospheric art style.
Real-Time IoT Sensor Monitoring Dashboard
A web-based dashboard developed with Next.js to visualize real-time data streams from IoT sensors, enabling remote monitoring and control of connected Arduino devices.
BatiKnow: Batik Pattern Classification Model
A deep learning model utilizing the EfficientNet architecture to classify diverse Indonesian Batik patterns, aiding in cultural education and digital archiving.
EPL Football Club Logo Classification
A YOLOv5-based computer vision model trained to detect and classify English Premier League football club logos from images, with applications in automated brand monitoring.
Avengers Fan Sentiment Analysis
An NLP model that performs sentiment analysis on social media text related to the "Avengers" franchise, gauging public opinion and emotional response to film announcements.
Get In Touch
Feel free to contact me for any work or suggestions. I'll get back to you as soon as possible.