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AWS SageMaker
Data Annotation Tech
Labelbox
TelusNo subject matter listed
Computer Code Programming
Image
TextI am a PhD-level chemical engineer with extensive experience in experimental research, data analysis, and AI/ML modeling, particularly in the domains of chemical process optimization and membrane technology. My work has involved designing and executing complex experiments, generating large datasets, and meticulously labeling and annotating data for machine learning applications, including the development and fine-tuning of models using Python (TensorFlow, Scikit-learn, Pandas), MATLAB, and R. I have hands-on expertise in preparing and curating training data, implementing neural networks and advanced algorithms (XGBoost, Random Forest), and integrating simulation outputs for predictive analytics. My background in process simulation, materials characterization, and technical reporting ensures high accuracy and reliability in data annotation tasks, making me well-equipped to contribute to high-quality AI training data projects across scientific and engineering domains.
Collection of a LLM model breaking Expert level Chemistry problems from Literature open sources with %+, then providing the model with critical experssions in latex, correcting the latex prompts etc.
PhD, Chemical Engineering
Master of Technology, Chemical Engineering
Process Technologist
Doctoral Researcher
