Career Overview:
• PhD in deep learning majoring in Computer Vision and Mathematical Modelling
• BSc/MSc in Applied Mathematics majoring in Operations Research Analyst
• AWS Certified Machine Learning Specialty
• Over 10 years experience in applied ML/DS in industry
• Years experience in client facing, confident communicator, and stakeholder engagement
• Commercial experience with godfathers of ML/DL in Canada, KIMIA lab
• Optimised pipeline deployment experience to leverage multi-sources data for DS solutions
• Supervision years experience and technical lead
• Experienced DS deployment, AWS SageMaker/Rekognition, Glue, Pipeline, and Lambda
• Commercial years development and deployment experience in Australia and Canada with major companies including Food & Drink, Telecom, Insurance, Bank & Finance, Construction & Safety, Transportation, Energy, Medical, and Sport
• R&D years experience in Robotic/Autonomous vehicles/Surgical Robots, using computer Vision and NLP, for a major governmental department
• Years experience in predictive, forecasting, mathematical, and optimisation modelling
• Best presenter awards in IEEE conferences, Canada and Asia
• Meet-ups speaker; PyData and AWS User Group Sydney as well as, AMSAH 2019 conference
• Established communication skills and cross-disciplinary collaboration capacity
• Achieved Intelligent workforce award and ranked 5 th among 5,561 Mathematicians in the post-graduates degree examination in 2002
Technical Tools:
• Python packages and pySpark
• R packages
• AWS SageMaker, Rekognition, Kinesis, S3, Lambda, Glue
• Deep learning tools; TensorFlow, Theano, Keras, Darknet
• Optimisation tools and statistical/mathematical packages
• SQL
• Matlab & Weka
• C# & C++
Email: s.amin.khatami@gmail.com
Tel: 0402386524
GitHub: https://github.com/aminkhatami
Google Scholar: https://scholar.google.com.au/citations?user=MNZNvukAAAAJ&hl=en