AI Engineer, trying to understand production systems. Using AI based IDEs to increase development, learning speed with proper observations.
- Developing responsive UI with loading state, empty state, error state, success state, conditional rendering, routing.
- Developing robust backend with error handling, authentication, authorization, data processing, data storage, logging.
- Selecting model, metric according to business needs and dataset.
- Data processing for model training/testing.
- Transfer learning, fine tuning, optimizing models.
- Developing static/interactive dashboards.
- Developing AI agents for future softwares with evaluation and observability.
- Using agentic engineering for fast and reliable development.
- Python, Javascript, PHP
- HTML, CSS
- SQL, MySQL
- React, Tailwind CSS, Hero icon, Headless UI, Frostbite, Material UI, Streamlit
- FastAPI, Flask, Uvicorn, Supabase
- Langchain, Langgraph, Langsmith, Chromadb, GroqAPI
- Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Pytorch, Tensorflow, OpenCV, Hugging-face, NLTK, Spacy
- Agentic engineering, Model Context Protocol, Agent skills
👩💻 I'm currently working on Nothing
🧠 I'm currently learning Nothing
🤔 I'm looking for help to become a production ready AI engineer
💬 Ask me about Data Science, Machine Learning, Deep Learning, Natural Language Processing, AI agents, agentic engineering, Model Context Protocol, A2A, A2UI, AP2, UCP, agent skills, responsive user interface, user experience
⚡️ Fun fact: Suffering builds strength only when paired with self-mastery



