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 demonstrate the potential of LLMs by developing a natural language interface for SQL queries. - Lead the vehicle history valuation project, improving model accuracy from 50% to 80% through the application of LGBM, demonstrating expertise in advanced machine learning techniques.- Spearhead the architectural transition to Azure ML Studio for model deployment, utilizing AKS and ACI to enhance scalability and performance, showcasing leadership in MLOps.- Drive R&D efforts that transition from linear regression to advanced ML methods, significantly enhancing product development by applying the latest AI research to real-world applications.- Mentor team members on AI and ML technologies, and manage Carfax Canada's Data Science Kanban board with tools like Jira and Confluence, emphasizing leadership and project management skills.- Maintain proficiency in a suite of data science technologies, including Python, NLTK, TensorFlow, PyTorch, and Hugging Face Transformers, ensuring a broad and deep technical skill set in modern AI/ML development.

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.• Works on image classification, object detection and time series classification.

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