Novebri Tito Ramadhani
About Me
Novebri Tito Ramadhani
AI Engineer & Robotics Developer
I am currently at sixth semester student of Mechatronics Engineering Education study program from Yogyakarta State University. I am a discipline and hardworking person, and I'm interested learning a new things to improve my abilities and experience.
I have experience with aerial robotics and machine learning such as Tensorflow, Pytorch, Scikit-Learn, ROS, and Python. I'm interested in machine learning, robotics, and automation technology.
Education
Yogyakarta State University — Bachelor of Education in Mechatronics Engineering
GPA: 3.73/4.00 | Expected Graduation: 2025
Awards
- Outstanding Student Award in the Field of Reasoning (2023, 2024)
- 1st Runner-up FIRA Air Simulation Technical Challenge (2022)
- 1st Runner-up FIRA Air Simulation Cup (2022)
- 1st Runner-up Indonesian Aerial Robotics Contest Regional B (2023)
- Top 8 Indonesian Aerial Robotics Contest National (2023)
Certifications
- Tensorflow Developer Certificate
- Bangkit Academy machine learning course by Google, GoTo, and Traveloka 2023
Tech Stack
Python
TensorFlow
PyTorch
OpenCV
ROS
Flask
Docker
Git
NumPy
Pandas
Scikit-learn
Keras
Python
TensorFlow
PyTorch
OpenCV
ROS
Flask
Docker
Git
NumPy
Pandas
Scikit-learn
Keras
Experience
AI Engineer
- Contributed to the development of MARSHALL, an AI-powered mobile application for Telkom's internal operations, implementing data processing features that achieved 95% accuracy and reduced manual work by 80%.
- Developed and optimized machine learning models using TensorFlow and PyTorch, enhancing network performance prediction with 90% accuracy.
- Worked with cross-functional teams to integrate AI solutions into existing infrastructure, contributing to a 40% improvement in operational efficiency.
Telkom Indonesia Experience
Freelance AI Developer
- Developed and deployed custom AI solutions for clients, including computer vision applications and predictive analytics models, achieving an average client satisfaction rate of 95%.
- Created efficient data processing pipelines using Python and modern AI frameworks, reducing processing time by 60% while maintaining high accuracy.
- Provided technical consulting and implementation support for AI projects, helping clients achieve their business objectives through innovative technology solutions.
Freelance Experience
Autonomous Drone Developer
- Successfully built and developed scripts for autonomous drones with object detection capabilities for both indoor and outdoor autonomous flight operations.
- Led programming efforts that contributed to winning championships at KRTI regional level and FIRA international competitions.
- Developed computer vision-based odometry systems using ROS framework, achieving 90% pick accuracy for ground object retrieval.
- Implemented OpenCV-based object detection on Jetson Nano for real-time tracking of pickable objects.
UNY Robotics Experience
Skills
AI & Machine Learning
TensorFlow, PyTorch, Scikit-learn, TensorRT, Gradient Boosting, Random Forest, XGBoost
Backend Development
FastAPI, Flask, Docker, ROS, Arduino IDE
Computer Vision & Robotics
OpenCV, YOLO, Autonomous Drones, Object Detection
Projects
MARSHALL App
Created an automation system for learning module creation and review using GPT-4o and Llama 3.2 with a RAG pipeline, improving accuracy for domain-specific topics and enhancing the review process.
Computer Vision Guided Autonomous Drone
Developed object detection using YoloV3s with TensorRT as the inference engine on Jetson Nano to track pickable objects and detect obstacles. Designed an odometry system with ROS framework.
Image Denoising Autoencoder
Built a denoising autoencoder model to remove image noise using PyTorch, achieving an MSE loss of 0.0019.
Contact
