I am an AI engineer with a specialization in Computer Vision, focusing on Object Detection, Segmentation, and Tracking projects.
I am a strong proponent of the Data-centric AI approach, having successfully led multiple end-to-end Deep Learning projects while utilizing optimal MLOps practices.
I have developed a growing appreciation for MLOps alongside my new interest in Large Langage Models.
⚡ Skills:
- Strong programming skills.
- Excellent communication skills.
- I am dedicated to ongoing learning and have a proven ability to adapt my skills to achieve success in any task at hand.
⚡ Tech Stack:
- Languages: Python, C++
- DL frameworks: PyTorch, Hugging Face, yolov8, darknet
- DS libraries: matplotlib, pandas, numpy
- LLM: llama-index, langchain
- MLOps: ZenML, cnvrg.io, Roboflow
- Data labeling: Label Studio, CVAT
- Data exploration: FiftyOne
- DL experiment tracking: MLflow, Weights & Biases
- DL deployment: MLflow, BentoML, Hugging Face Spaces, Streamlit
- Cloud: AWS
- Containerization: Docker
- Version control: Git, Gitlab, GitHub, Bitbucket CI/CD: Gitlab CI/CD, Jenkins