Skip to content
View Turusore08's full-sized avatar
💭
I may be slow to respond.
💭
I may be slow to respond.
13 followers · 10 following
  • Institut Teknology Sepuluh Nopember
  • Surabaya
  • 16:36 (UTC -07:00)

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

Block or report Turusore08

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Turusore08/README.md

Hi there! 👋 I'm Arya Pratama Rhama Putra

🤖 AI Engineer Student | Conversational AI Enthusiast | Data Engineer Intelligence

I'm an AI Engineer Student specializing in Data Engineering Intelligence. This semester, I'm studying Open CV, 3D Modeling, Game, RAG, and Study Project base. Below are the skills that I learned outside of college.

🔬 Projects Ongoing

  • Aicareer
  • Mengasli
  • Adversarial at Botnet Detection

🔧 Tech Stack

  • Languages: Python, SQL,
  • ML/AI Frameworks: Scikit-learn, TensorFlow, PyTorch
  • NLP & LLM: Hugging Face Transformers, LangChain, OpenAI API, spaCy, NLTK
  • Vector Databases: Pinecone, ChromaDB, FAISS
  • Chatbot Frameworks: Rasa, Dialogflow, Botpress
  • MLOps & Deployment: Docker
  • Data Engineering: Pandas, NumPy
  • Cloud Platforms: Google Cloud Platform, Amazon Web Services
  • Databases: PostgreSQL

🎯 Areas of Focus

  • Data Engineering Intelligence - Designing and optimizing high-throughput data pipelines, ETL/ELT workflows, and distributed data processing frameworks.
  • Intelligent Data Infrastructure - Building scalable architectures to ingest, clean, and structure massive datasets for analytical and machine learning systems.
  • Real-Time Data Streaming - Implementing event-driven data architectures and low-latency stream processing pipelines.
  • Data Warehousing & Modeling - Developing optimized dimensional schemas, data lakes, and enterprise data warehouses.
  • Metadata & Data Governance - Establishing automated data quality monitoring, lineage tracking, and compliance frameworks.
  • MLOps & Pipeline Automation - Bridging data engineering and machine learning workflows for seamless feature stores and continuous model training.
  • System Architecture - Designing, developing, and managing robust enterprise-grade data and software architectures.

🎯 Current Goals

  • Building high-performance, production-ready data pipelines that power modern AI and analytics platforms.
  • Solving complex data ingestion and scalability challenges in real-world distributed systems.
  • Developing efficient and secure data infrastructure for next-generation intelligent applications.

📫 Let's Connect!

"The best way to predict the future is to invent it, especially when it involves artificial intelligence."

Pinned Loading

  1. sultanhamdi/moon_walker sultanhamdi/moon_walker Public

    Jupyter Notebook 1 1

  2. JavaneBIRD JavaneBIRD Public

    Python

  3. Neural-Network-with-only-numpy Neural-Network-with-only-numpy Public

    Jupyter Notebook