Machine Learning Engineer
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Versatile Machine Learning Engineer with Expertise in Computer Vision, NLP, Market
Forecasting and Time Series Analysis
My experience with machine learning tools such as GCP, AWS, Docker, MLflow, Snowflake, CI/CD, VS Code, jupyter notebook, PowerBI, and programming languages such as Python PEP 8 style, C++, SQL, Git, GANs, media pipe, Open AI, YOLO, and libraries such as TensorFlow, Pytorch, Keras, NumPy, Scikit-learn, pandas, OpenCV, matplotlib, NLTK, seaborn, and machine learning algorithms such as Linear Logistic regression, CNN, random forest, KNN, Clustering, LSTM, decision trees, feature engineering, Data manipulation/scaling, Bayesian, Kalman, POC, ML End to End pipeline, and MLOps make me confident in my ability to hit the ground running in a fast-paced environment like yours.
I have published research papers on AI and NLP algorithms and have deployed state-of-the-art deep learning models, achieving high accuracy on complex datasets. I also have a bachelor's degree in computer science and have completed relevant courses in big data, machine learning, deep learning, AI Smart Health, ML Research Methodology, data structures, object-oriented programming, data mining, algorithm design, and software development.
