🚀 Passionate AI Engineer & Recent Bachelor of Engineering Physics Graduate from Telkom University 2023. 🎓
🔍 I'm driven by AI research, with a strong focus on Generative AI. Proficient in Python and various ML tools, I develop intelligent web applications and AI/ML solutions. I'm especially interested in exploring the latest advancements in Large Language Models (LLMs) and techniques like Retrieval-Augmented Generation (RAG) and Agentic AI.
What I'm passionate about:
- Building innovative AI solutions that solve real-world problems.
- Exploring the frontiers of Generative AI and LLMs.
- Contributing to the open-source community.
🌟 Core Competencies:
- AI/ML Engineering & Research
- Generative AI
- Data Science
- Software Engineering
- RAG Techniques & Agentic AI
Let's contribute to my repos!
Featured Projects:
- Langchain Ollama JavaScripts: here - Integrating Langchain with Ollama using JavaScript.
- Fined-Tune-Open-Source-LLM: here - Fine-tuning open-source Large Language Models.
- Chatbot-next-js: here - A chatbot built with Next.js.
- OpenAI Templates: here - Useful templates for working with OpenAI.
- Basic Project ChatGPT using Flask: here - A simple web-based ChatGPT application using Flask.
- LLama.cpp: here - Working with LLama.cpp.
Programming Languages: Python, C/C++, Golang, JavaScript, HTML, CSS
Deep Learning: TensorFlow, PyTorch, Keras
Machine Learning: Scikit-Learn, OpenCV, YOLO, XGBoost, StatsModels, Rasa
Data Manipulation & Analysis: Pandas
LLM Platforms & APIs: Vertex AI, Google Gemini, Anthropic (Claude), Azure OpenAI, OpenAI (GPT Models), AWS Bedrock
Open Source LLMs: Llama 3.1, Llama 3.2
LLM Frameworks & Tools: LangChain, LlamaIndex, HuggingFace, llama.cpp, Unsloth, Ollama, Dify
AI/ML Techniques: RAG (Retrieval-Augmented Generation), Agentic Systems (Autonomous AI Agents), Multi-Agent Systems, Multi-LLM Orchestration, Prompt Engineering, Multimodal Processing (Text, Images, etc.), Few-shot & Zero-shot Learning, Ensemble Learning
Web Frameworks: Flask, FastAPI, Django, Streamlit
DevOps & MLOps: Git, GitHub, GitHub Actions, Docker, Apache Airflow, AWS Glue, AWS CloudWatch, MLFlow
NoSQL Databases: Firebase, DynamoDB, Qdrant, OpenSearch, Amazon S3
SQL Databases: PostgreSQL, SQL, BigQuery, MySQL
Data Visualization: DataPrep, Looker Studio, Tableau
Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure, Amazon Web Services (AWS)
Development Tools & Environment: Pycharm, Jupyter Notebook, Jira, ClickUp, Visual Studio Code, Microsoft Office, Ubuntu, WSL