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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