AI/ML Engineer
Orchestrating AI constellations and immersive web frontiers so ideas can travel at light speed.
About Me
I am Muhammad Ammar Ridho, a Data Science undergraduate at Telkom University (GPA 3.91) focused on building practical AI products, from web scraping pipelines with TypeScript (Puppeteer, Axios) to machine learning systems in forecasting and computer vision; currently I contribute as Mentor of Data Research and Mentor & Curriculum Machine Learning, with key achievements including Finalist GEMASTIK XVIII Data Mining.
My Journey
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Jun 2021
Jun 2021
Started SMK Negeri 2 Depok (Computer & Network Engineering)
Began vocational learning path in Teknik Komputer dan Jaringan, building core networking and system fundamentals.

Oct 2023
Oct 2023
Finalist Olimpiade Jaringan Mikrotik (National)
Reached national finalist stage in MikroTik Networking Olympiad, strengthening practical network engineering and competitive discipline.

Aug 2024
Aug 2024
Started S1 Data Science - Telkom University
Started undergraduate journey in Data Science, combining statistics, machine learning, and software engineering practice.

Nov 2024
Nov 2024
3rd Place ADIKARA Data Mining Competition
Built a hybrid CNN-LSTM deep learning approach for multivariate food price forecasting.

Apr 2025
Apr 2025
Web Scraping R&D - Central Computer Improvement
Developed scalable crawling pipelines with TypeScript, Puppeteer, Axios, and session-based retrieval strategies.

May 2025
May 2025
PIC Data Mining Competition - PRODIGI
Led Data Mining division, mentoring members and building a learning ecosystem for competitions and AI innovation.

Sep 2025
Sep 2025
Finalist GEMASTIK XVIII Data Mining
Designed fraud detection for P2P lending using GCN and ensemble optimization with strong AUC performance.

Nov 2025
Nov 2025
Mentor & Curriculum Machine Learning - GDGoC
Designed and delivered a beginner-friendly ML curriculum from data prep and model training to Streamlit deployment.

Jan 2026
Jan 2026
Mentor of Data Research - CCI
Mentoring research-focused projects and guiding practical AI implementation for student and community initiatives.

Portfolio
Projects
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Jupyter Notebook
TaniCerdas
Comprehensive agricultural decision support system with ML-based crop prediction, AI environmental optimization, and SHAP explainability.

TypeScript
BugOut
Hybrid boardgame combining physical and digital gameplay. Built with React Native for cross-platform mobile experience.
Jupyter Notebook
Gesture Music Control
Speaker and music control system using hand gestures and landmarks detection with Mediapipe and TensorFlow Keras.
Blade
Manajemen Perpustakaan
School library management system for SMA 1 Dayeuhkolot. Manages textbook and learning material inventory.
Jupyter Notebook
Review Sentiment NLP
E-commerce product review sentiment analysis competition project. Analyzes customer sentiments from product reviews.
JavaScript
Finsight
AI-powered financial analysis and insights platform for financial data analysis and visualization.
Portfolio
Projects
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Contact Me
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