AI/ML Engineer

Muhammad Said
Ramadhan Putra

Undergraduate Informatics student specialized in Computer Vision and AI/ML. Bridging complex algorithms with strategic execution.

3+

Projects

5

Months Intern

2

Leadership Roles

Muhammad Said Ramadhan Putra

Who I Am

I am an undergraduate Informatics student at Universitas Muhammadiyah Surabaya with a specialized focus on Computer Vision and AI/ML. I recently completed a high-impact internship at PT Telkomsat Bogor, where I served as Project Manager for a Face Recognition development project.

I excel at bridging the gap between complex algorithmic development and strategic project execution. With a proven track record in leading technical teams and a passion for deep learning, I am dedicated to building scalable, intelligent visual systems.

University

Universitas Muhammadiyah Surabaya

Major

Bachelor of Computer Science (2023-2026)

Location

Surabaya, Indonesia

Email

saidramadhan0604@gmail.com

Internship Journey

PT Telkom Satelit Bogor — IT & Network Planning Division (Jan 2025 - May 2025)

Project Manager

Edge AI Attendance System

PT Telkom Satelit Bogor

January 2025 – May 2025

  • Led the transition and migration of Face Recognition system from web-based platform to localized Edge AI hardware
  • Managed end-to-end development of Sleep/Standby features using Finite State Machine (FSM) to optimize power efficiency
  • Supervised cross-functional coordination between Backend, Frontend, and System Design teams
  • Gained hands-on experience in project execution within a real construction environment
AI Engineer

Web-Based Face Recognition

PT Telkom Satelit Bogor

January 2025 – May 2025

  • Developed high-accuracy web application for face recognition using FastAPI and DeepFace
  • Implemented real-time Liveness Detection (anti-spoofing) using MediaPipe to detect eye blinks
  • Integrated automated Text-to-Speech (TTS) audio feedback for real-time user interaction
Project Team Member

GeoSpatial Project

PT Telkom Satelit Bogor

January 2025 – May 2025

  • Benchmarked 10 unsupervised learning algorithms on GeoJSON datasets for flood disaster analysis
  • Conducted feature engineering and variance-based selection across multiple parameter configurations
  • Leveraged PCA 3D and t-SNE visualizations to analyze high-dimensional spatial data
  • Identified Birch as the most effective algorithm using Silhouette Score and Davies-Bouldin Index

Leadership & Involvement

Informatics Student Association

Chairman of Association

2025 – 2026

Lead the executive board in managing academic and non-academic programs for 300+ informatics students. Championed AI and Machine Learning initiatives by bridging student interests with industry-relevant events, hackathons, and technical seminars. Oversee strategic planning, budget allocation, and cross-departmental synergy.

Jujitsu Self-Defense UKM

Chairman of Association

2025 – 2026

Direct the overall operations, training schedules, and championship participation for the university's Jujitsu unit. Foster a culture of discipline and resilience while managing administrative compliance and external relations with regional sports federations.

Academic Background

Bachelor of Computer Science

Universitas Muhammadiyah Surabaya

2023 – 2026 (1–6 Semesters)

Senior High School

Vocational High School for Computer Engineering and Networking

2020 – 2023

Technologies & Expertise

AI & Machine Learning

TensorFlow PyTorch Scikit-Learn DeepFace OpenCV MediaPipe

Computer Vision

Face Detection Face Recognition Liveness Detection Image Segmentation Feature Extraction

Development

Python FastAPI JavaScript HTML/CSS Tailwind Git/GitHub

Data Science

Pandas NumPy PCA t-SNE GeoJSON Clustering

Project Management

Trello Notion Jira MS Project Team Coordination FSM Logic

Geospatial

Birch KMeans DBSCAN GMM Spectral Disaster Mapping

Languages

IndonesianNative
EnglishB2
MandarinHSK 1-2

Let's Work Together

Have a project in mind or just want to say hi? Feel free to reach out!

Get In Touch

+62 812-1779-3150
Surabaya, Indonesia