Skills
Programming Languages: Python, R, Java, Javascript, Typescript, C, C++
SOA framework: FastAPI, Flask, Spring Boot
FrontEND: React, Angular.JS, Angular 2+, etc.
Machine Learning Libraries: PyTorch, PyG, TensorFlow, Transformers, etc.
LLM frameworks: LangChain, Langgraph, Llama-Index
Data Manipulation: Pandas, NumPy, etc.
Data Visualization: Matplotlib, Seaborn, Plotly, D3, etc.
Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP), etc.
Database Management: SQL, NoSQL (e.g., MongoDB), etc.
Version Control: Git, GitHub, GitLab, etc.
DevOps and Containerization Technologies: Docker
MACHINE LEARNING: Supervised Learning, Unsupervised Learning, Semi supervised learning, Deep Learning, NLP, Computer Vision, Reinforcement Learning, Feature Engineering, Hyperparameter Tuning, Generative AI, Retrieval-Augmented Generation
Data Preprocessing: ETL processes, MLOps, MLFLOW, LLMOps
About
Generative AI Engineer
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