Hi, I'm Pradana Adnyana

AI/ML
Engineer

I build AI based systems that turn complex problems into fast, reliable products. Focused on 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
      • •
    • Agent-Based Systems
      • •
    • MLOps
  • Data Science and Analytic
      •
    • Data analysis with Pandas & NumPy
      • •
    • Data visualization with Matplotlib & Seaborn
      • •
    • Statistical analysis
      • •
    • Machine learning and Deep Learning
  • 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

Machine Learning Engineer with 1 year of hands-on experience building scalable AI and data products. I work across Python, TensorFlow, PyTorch, deep learning, computer vision, natural language processing, MLOps, model deployment, and system architecture to turn complex ideas into reliable systems. Focused on practical solutions for recruiters and clients who need AI automation, production-ready machine learning pipelines, strong technical execution, and measurable business outcomes.

Resume

Education

Udayana University

Bachelor Of Engineering in Electrical and Computer Engineering

2020 - 2024
Putu Gede Pradana Adnyana

Work Experience

  1. AI SpecialistCurrent

    PT. Akasha Wira International Tbk.

    • Built automation workflows that reduced manual work for sales and HR, improving lead discovery to 3,250 Priority and 1,245 Qualified leads.
    • Created web scrapers to collect more target data from competitor platforms.
    • Set up LLM-based keyword generation, scheduling, and email reporting for Zoho CRM.
    • Built a desktop app that records calls, transcribes them, and gives real-time AI suggestions and summaries.
    • Developed a Chrome extension to download candidate data from job portals
    • Designed the system for real-time comments and speech generation for virtual avatar streaming.

  2. AI/ML Engineer

    WWWaste Pte Ltd

    • Built and deployed end-to-end ML and LLM pipelines for forecasting, insight generation, brand detection, and customer support chatbot development using AWS SageMaker and LangChain, enhancing business intelligence and user experience.
    • Optimized production APIs with FastAPI and Redis, integrating LLM observability (Langfuse) and reducing response time by 99.7% and token usage by 90%.

  3. Machine Learning Engineer Intern

    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

  4. 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.

  5. 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

Teman Wisata

Teman Wisata

An intelligent, personalized travel recommendation platform engineered to optimize trip planning for tourists exploring major cities in Indonesia by eliminating decision fatigue.

FastAPITypeScriptRecToolsKubernetes (K3s)SupabaseRedisMLflowMinIOPrometheusGrafanaCloudflare
Implemented SASRec and BERT4Rec for next-item travel recommendations
Deployed a cost-efficient MLOps stack on a single 4 vCPU, 4 GB VM with K3s
Set up monitoring with Prometheus, Grafana, Loki, MinIO, and cert-manager
Completed
SafeFlood

SafeFlood

A web-based early warning system designed to predict floods in South Sulawesi using satellite data, aimed at minimizing infrastructure damage and social-economic loss.

PythonGoogle Earth EngineDockerScikit-learnGitHub
Achieved 98% accuracy using the Random Forest model for flood prediction
Developed a 'no-device' prediction solution utilizing satellite data instead of local hardware
Integrated a comprehensive dashboard for weather forecasting and flood risk visualization
Completed
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