Hi, I'm Pradana Adnyana

AI/ML
Engineer

Building intelligent solutions through machine learning and deep learning technologies. Specializing in computer vision, MLOps, and natural language processing.

Azure Azure
Docker Docker
Linux Linux
Raspberry Pi Raspberry Pi
Python Python
JavaScript JavaScript
PHP PHP
Java Java
C++ C++
HTML5 HTML5
CSS3 CSS3
nodejs Nodejs
Django Django
Flask Flask
FastAPI FastAPI
Laravel Laravel
TensorFlow TensorFlow
PyTorch PyTorch
Keras Keras
scikit-learn Scikit-learn
OpenCV OpenCV
Matplotlib Matplotlib
Ploty Ploty
NumPy NumPy
Pandas Pandas
MongoDB MongoDB
MySQL MySQL
PostgresSQL PostgresSQL
git Git
bash Bash
Azure Azure
Docker Docker
Linux Linux
Raspberry Pi Raspberry Pi
Python Python
JavaScript JavaScript
PHP PHP
Java Java
C++ C++
HTML5 HTML5
CSS3 CSS3
nodejs Nodejs
Django Django
Flask Flask
FastAPI FastAPI
Laravel Laravel
TensorFlow TensorFlow
PyTorch PyTorch
Keras Keras
scikit-learn Scikit-learn
OpenCV OpenCV
Matplotlib Matplotlib
Ploty Ploty
NumPy NumPy
Pandas Pandas
MongoDB MongoDB
MySQL MySQL
PostgresSQL PostgresSQL
git Git
bash Bash
Azure Azure
Docker Docker
Linux Linux
Raspberry Pi Raspberry Pi
Python Python
JavaScript JavaScript
PHP PHP
Java Java
C++ C++
HTML5 HTML5
CSS3 CSS3
nodejs Nodejs
Django Django
Flask Flask
FastAPI FastAPI
Laravel Laravel
TensorFlow TensorFlow
PyTorch PyTorch
Keras Keras
scikit-learn Scikit-learn
OpenCV OpenCV
Matplotlib Matplotlib
Ploty Ploty
NumPy NumPy
Pandas Pandas
MongoDB MongoDB
MySQL MySQL
PostgresSQL PostgresSQL
git Git
bash Bash

What I do?

  • AI Development
      •
    • Image Processing and Computer Vision
      • •
    • Natural Language Processing
      • •
    • MLOps
  • Data Science and Analytic
      •
    • Data analysis with Pandas & NumPy
      • •
    • Data visualization with Matplotlib & Seaborn
      • •
    • Statistical analysis
  • Web and API Development
      •
    • Full stack web development with Django & Laravel
      • •
    • RESTful APIs with Django REST framework, FastAPI, and Flask
      • •
    • SQL & NoSQL databases
  • Cloud Computing
      •
    • Microsoft Azure
      • •
    • Google Cloud Platform

About me

Putu Gede Pradana Adnyana

Results-driven Machine Learning Engineer with 1 year of hands-on experience in developing scalable AI solutions. Proficient in Python, TensorFlow, PyTorch, and system architecture. Proven track record in optimizing models for high performance and efficiency. Passionate about continuous learning and innovation.

Resume

Education

Udayana University

Bachelor Of Engineering in Electrical and Computer Engineering

2020 - 2024 GPA: 3.97/4.0
Putu Gede Pradana Adnyana

Work Experience

  1. Machine Learning Engineer InternCurrent

    PT.Adamata Indonesia

    • Contributing to data and CI/CD pipelines setup for machine learning model development
    • Optimizing object detection model on edge device
    • Explore cutting-edge computer vision technology and algorithms for waste management
    • Lead the software system design and refactor of bottle cap sorting. Increase 40% sorting performence

  2. Artificial Intelligence Engineer Intern

    Ruang Guru

    • Led the development of a centralized system integrating AI models such as OpenAI, Gemini, and Anthropic, streamlining access for both product and development teams.
    • Developed REST API endpoints for a Coding Assistant, improving engineering team access.
    • Implemented CI/CD pipelines to automate the deployment process, reducing deployment errors by 25% and enhancing system reliability.

  3. Product Development Intern

    XL Axiata (X-Camp)

    • Contributed to the integration of RTSP cameras for object detection and optimized multithreaded data processing using CUDA, improving system performance by 40% and enabling real-time analytics.
    • Led data collection and labeling for training datasets for object detection
    • Led research on deploying YOLO models on Jetson Nano for object detection, enhancing speed and accuracy in AI-driven solutions.
    • Configured MQTT protocols and integrated them with ThingsBoard, ensuring seamless data communication and system reliability.

Featured Projects

My Work

Trash Object Detection

Trash Object Detection

AI-powered waste detection and monitoring solution for waste management. A hackathon project

PythonStreamlitYOLOv8Alibaba CloudOpenCV
Achieve 92% precision in waste objec detection
Chatbot powered by Qwen-MAX
Completed
Waste Classification

Waste Classification

An image classfication model for classify waste objects

PythonGradioPytorchTransfer LearningTraining PipelineMonitoring
Developing CNN based classification model
Setup training pipeline and monitoring using github action and wandb
Developing Gradio based web app for model deployment
Completed
UmMeals

UmMeals

Maternal and Child Nutrition Tracking App with stunting detection

PythonSQLAlchemyAzure AIPower BIStreamlit
Top 6 finalist Microsoft Innovation Challenge 2024
Personalized nutrition monitoring and chatbot
Early stunting detection system
Completed