Sam Ian
@samian
AI/Machine Learning Engineer with 7+ years of experience.
What I'm looking for
I am an AI/Machine Learning Engineer with over 7 years of experience in developing and deploying machine learning models using Python, TensorFlow, GenAI, and PyTorch. My expertise lies in cloud platforms and optimizing model performance, which has allowed me to deliver actionable insights and improve workflows that drive significant business value.
Throughout my career, I have designed and deployed scalable AI/ML architectures, enhancing deployment efficiency and model accuracy. I have a proven track record of mentoring teams and collaborating across departments to implement innovative, high-impact solutions. My experience in MLOps and DevOps practices has enabled me to integrate advanced technologies effectively, reducing deployment times and improving overall performance.
Experience
Work history, roles, and key accomplishments
Senior Machine Learning Engineer
Kunai
Oct 2020 - Present (4 years 9 months)
Designed and deployed scalable AI/ML architectures using TensorFlow, Keras, GenAI, and PyTorch, improving deployment efficiency by 30%. Developed end-to-end ML pipelines with Python, NumPy, and Matplotlib, enhancing model accuracy by 20% and processing speed by 35%.
Machine Learning Engineer
Letsremotify
Jan 2019 - Aug 2020 (1 year 7 months)
Built machine learning models with Python, Keras, and PyTorch, using TensorBoard and Matplotlib, boosting accuracy by 25%. Designed scalable APIs with RESTful services; integrated with React and Angular, enhancing performance by 30%.
Software Engineer
Letsremotify
Mar 2016 - Dec 2018 (2 years 9 months)
Enhanced deep learning models with Python, PyTorch, and GenAI, boosting efficiency and reducing latency by 30%. Improved training accuracy by 20% and reduced training time by 15% using Keras and TensorBoard.
Education
Degrees, certifications, and relevant coursework
California State University Fresno
Bachelor's Degree, Unknown
Studied at California State University Fresno, focusing on a curriculum that provided a strong foundation in relevant academic disciplines. Gained essential knowledge and skills applicable to future professional endeavors.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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