Seyedjavad Khataeipour Email & Phone Number

Vancouver, BC, CA

London, Ontario, Canada

- Lead R&D efforts in harnessing LLMs for information extraction and summarization from raw data, involving the creation of a fine-tuning dataset, fine-tuning multiple LLMs, and evaluating their performance to boost precision. Explored advanced techniques, including RAG and multi-shot methods, to maximize model accuracy- Initiated and executed a project to.

Montreal, Quebec, Canada

• Teaches Python, Numpy, Pandas, Sklearns, Keras and other statistical and analytic tools.
• Transfers the knowledge of data science in various areas such as traditional machine learning algorithms, deep learning models, and natural language processing.
• Provides insight on using predictive models, and machine learning approaches such asrecommendation, clustering and classification techniques.

Canada

• Implements CNN and LSTM neural networks to analyze time series data with Keras and TensorFlow.
• Processes, prepares and cleans physical activity and GPS data with Python and R.
• Visualizes data from different sources using tools such as Plotly and MatPlotLib.
• Deploys predictive models using various machine learning algorithms.
• Assists lab members with their statistical analysis and data mining inquiries.
• Utilizes ML algorithms such as Clustering, Classification, and Deep Neural networks.

Tehran

• Improved visualization quality by replacing Excel with Python and Plotly
• Migrated on-premises MS SQL server database to AWS Aurora MYSQL server
• Integrated, processed, analyzed, and visualized drilling data
• Utilised AWS Lambda functions to update the SQL server
• Cleansed, and verified the integrity of drilling operation data using Python
• Supervised drilling rig team and monitored their performance

Master'S Degree, Computer Science, Gpa 4

Co-op route

Master Of Science (Ms), Petroleum Engineering

Bachelor'S Degree, Petroleum Engineering