Computer Science student at Soegijapranata Catholic University focusing on Big Data Analytics & AI. One year building hate comment detection, fraud detection, computer vision, and forecasting models from raw CSVs to real solution.
I'am a software engineer and AI entrepreneur with a strong passion for building scalable, real-world technology solutions. As the founder of Growithm, an AI-as-a-Service platform, I focus on developing intelligent applications that help businesses automate processes and improve efficiency. My expertise includes Python, backend development, data engineering, artificial intelligence, and automation, with a strong emphasis on writing clean, maintainable, and production-ready code. I enjoy transforming complex ideas into practical products that deliver real business value, and I am continuously expanding my knowledge to stay at the forefront of emerging technologies. My long-term goal is to build innovative AI-driven solutions that make advanced technology more accessible while growing a sustainable and impactful technology company.
Beyond models, I lead people. I run a 20-person student org, produce a monthly podcast, and founded Djagokoding to help peers grow in AI. If it’s data, insight, or automation I want in.
→ Bachelor of Computer Science
Soegijapranata Catholic University · IUP Big Data & AI
→ Assistant Researcher
Stable Diffusion, YOLOv8n research
→ Fullstack Dev @ BMSI SCU
PHP / Laravel / React · 1 yr
Bahasa Indonesia · Native
English · B2 · Working proficiency
Gather thousand rows data from social media comments. Pre-process the data and continue to semantic analisis. Displaying social network and visualize the trend, edges, and also the accuracy for predicting hate comment in Indonesia.
Cleaned and log-transformed imbalanced transaction data, engineered features around amount velocity & category outliers, then trained a LogisticRegression classifier with careful correlation checks. Delivered a model that flags anomalous transactions with 98% accuracy.
Built a custom image dataset for detecting principal palm lines, then benchmarked YOLOv8n vs YOLOv7n vs YOLOv5s on precision/recall and inference speed. Led the CV pipeline end-to-end from labeling to deployment-ready inference.
Led a 3-person team fine-tuning Stable Diffusion with LoRA to generate culturally accurate historical characters. Owned dataset curation and the labeling protocol that made the fine-tune actually converge.
Real-time object detection for river pollution monitoring. Hand-labeled 600+ images across 4 trash classes and trained YOLOv8n to detect debris from live CCTV designed for cheap edge deployment.
Time-series forecasting on a compiled national auto-sales dataset. Ran diagnostic tests, tuned seasonal parameters, and benchmarked hand-tuned ARIMA against AutoARIMA to pick the best short-horizon model.
Built an n8n workflow that pulls stock data from SQL & spreadsheets, posts updates to WhatsApp, and routes low-confidence answers through a human-in-the-loop step. Anti-spam guardrails and 80% confidence threshold shipped in production.
Leading a 3-person team on Stable Diffusion + LoRA and real-time palmistry with YOLOv8n. Own dataset labeling, training, and evaluation.
Community for peers who want to level up in data, AI, and automation. Weekly collaborations, project sprints, and prompt-engineering sessions.
Platform selling commercial ads video pipelines and a digital product on prompting VEO3 & Gemini correctly. Built with Cornelio Christiono.
Taught ~50 attendees how to use Cursor and modern AI tools to code with a heavy emphasis on understanding the code, not just prompting it.
Leading a 20-person org. Ran a math competition with 100+ participants across Central, West and East Java.
Training ML model for object detection. Working with RT-DETR for detecting road damage using RDD2022 datasets.
1 year on the Soegijapranata Catholic University systems team. PHP / Laravel / React across the RPL site and the SSCC Jobfair System, plus SQL schema work.
Building startup that selling AI as a Service and help business growth using automation workflow.
Team Leader auto-updating stock and maintenance report WhatsApp bot on n8n with human-in-the-loop.
Bronze Awardee - Team Leader on ARIMA / AutoARIMA car sales forecasting.
AI Developer - YOLOv8n real-time river trash detection on CCTV feeds.
Preferred roles → Data Scientist, ML Engineer, Data / AI Analyst. Semarang-based, open to remote & hybrid.