Available for Remote Opportunities

M. Gymnastiar

ML Engineer · Data Scientist · Educator · Mentor

Computer Education graduate (GPA 3.72) pursuing Master of Computer Science at UGM. Two-time national GEMASTIK finalist with proven expertise in machine learning, data science, and full-stack development.

Python Machine Learning TensorFlow Laravel Flask Data Science
⚡ View GitHub ✉ Get In Touch
2×
GEMASTIK National Finalist
3.72
GPA / 4.00
20+
ML Mentees Guided
4+
ML & Web Projects
Currently pursuing
M.Cs. at Universitas Gadjah Mada · Part-time remote available
About Me

Turning Data Into Impact

I'm M. Gymnastiar — a machine learning engineer and educator based in Banjarmasin, South Kalimantan. I hold a Bachelor's degree in Computer Education from Universitas Lambung Mangkurat (GPA: 3.72/4.00), and I'm currently advancing my expertise through a Master of Computer Science program at Universitas Gadjah Mada.

My work sits at the intersection of applied AI and education — I build production-grade ML systems while simultaneously mentoring the next generation of practitioners. I've mentored 20+ participants remotely through the DBS Foundation Coding Camp, built recommendation systems, predictive analytics pipelines, and interactive educational platforms.

I'm a two-time national finalist at GEMASTIK (the largest ICT competition for Indonesian university students), a PKM incentive recipient, and a Best Participant awardee at PT GITS Indonesia. I'm actively seeking flexible remote engagements alongside my graduate studies.

UGM
M.Cs. at UGM Universitas Gadjah Mada — 2025 onwards
GEMASTIK
2× GEMASTIK Finalist ICT Scientific Paper — 2023 & 2024
ML Mentor
ML Mentor (Remote) DBS Foundation Coding Camp — 2025
Full-Stack Dev
Full-Stack Dev PT GITS Indonesia — Best Participant Award
Work History

Professional Experience

DBS Foundation
Coding Camp — DBS Foundation Feb – Jul 2025
Machine Learning Mentor · Remote
  • Mentored 20+ participants asynchronously via Discord/LMS, maintaining weekly delivery schedules independently.
  • Facilitated 10+ live instructor-led training sessions on supervised and unsupervised learning.
  • Conducted weekly consultations to debug code and review ML project submissions.
ULM
Universitas Lambung Mangkurat Aug 2023 – Aug 2024
Laboratory Teaching Assistant
  • Facilitated practical lab sessions for 60+ students in Operating Systems and Intelligent Systems.
  • Improved average lab scores by ~15% through targeted guidance and material updates.
  • Prepared and maintained learning materials and assessment rubrics.
SMAN 4
SMAN 4 Banjarmasin Jan – Jun 2024
Informatics Teaching Assistant
  • Delivered structured Informatics lessons to Grade X students covering algorithms and data structures.
  • Mentored students preparing for the National Science Olympiad (OSN) in Informatics.
  • Developed modular teaching materials adopted by the full teaching team.
PT GITS
PT GITS Indonesia Aug 2023 – Jan 2024
Full Stack Web Developer · Remote
  • Built and deployed multiple web applications using Laravel in a fully remote environment.
  • Implemented CRUD systems, file upload pipelines, and automated email notifications.
  • Integrated third-party REST APIs and documented endpoints for team-wide usage.
  • Awarded Best Participant & Best Team upon project completion.
Work Samples

Selected Projects

Selamatkan Pangan
Selamatkan Pangan
ML · Flask · Laravel · GEMASTIK XVII

Food waste prediction system using Random Forest classification. Achieved 89% accuracy on national-scale dataset. Backend served via Flask REST API, integrated with Laravel dashboard.

PythonScikit-learnFlaskLaravelREST API
View Project →
Anime Recommendation
Anime Recommendation System
Deep Learning · Collaborative Filtering

Hybrid recommendation engine combining Content-Based Filtering (Cosine Similarity) and Collaborative Filtering (RecommenderNet deep learning). Low prediction error with high relevance scores.

PythonTensorFlowRecommenderNetCosine Similarity
View Project →
CO2 Emission
CO₂ Emission Prediction
Predictive Analytics · Ensemble ML

Identified key features (Engine Size, Fuel Consumption) driving CO₂ emissions. Ensemble model using Random Forest and AdaBoost achieved low MSE, supporting eco-vehicle design decisions.

PythonRandom ForestAdaBoostPandasEDA
View Project →
Bike Sharing
Bike Sharing Data Analysis
Data Analysis · Business Insight

Full EDA revealing that registered users dominate rentals, peak hours differ on weekdays (17:00) vs weekends (12:00), and sunny weather drives maximum demand. Actionable for marketing strategy.

PythonPandasSeabornMatplotlibEDA
View Project →
Stegolearn
Stegolearn
EdTech · Web · Research & Development

Interactive web-based learning platform for Steganography in digital image processing courses. Built using R&D methodology, implemented and validated in Computer Education program.

LaravelBootstrapR&DEdTech
View Project →
Capabilities

Technical Skills

Core ML & Data
Python (Pandas, NumPy)
Scikit-learn
TensorFlow / Keras
Data Analysis & EDA
SQL & Database Design
Web Development
Laravel (PHP)
Flask (Python)
REST API Integration
Tailwind CSS
Bootstrap
Tools & Soft Skills
Git & GitHub
Jupyter Notebook
Async Remote Work
Technical Mentoring
Research Writing
Recognition

Awards & Achievements

GEMASTIK XVII
Sep 2024
GEMASTIK XVII Finalist
ICT Scientific Paper Division · Semarang · BPTI
See →
PKM 2024
Jun 2024
PKM 2024 — Incentive Award
Scientific Article Category · Universitas Lambung Mangkurat
Best Participant
Jan 2024
Best Participant & Best Team
MSIB Independent Study · PT GITS Indonesia
GEMASTIK XVI
Sep 2023
GEMASTIK XVI Finalist
ICT Scientific Paper Division · Malang · BPTI
Let's Connect

Open for Remote Opportunities

Available part-time / flexible remote — alongside Master's studies at UGM. Let's build something impactful together.

✉ agimduuduu@gmail.com ⚡ github.com/Agim-dudu 📱 +62 812 5862 4198