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@danielmilner
Senior Machine Learning Engineer with expertise in AI and data science.
As a Senior Machine Learning Engineer with over 7 years of experience, I have a strong ownership mindset and a proven track record in developing and deploying advanced AI solutions. My expertise spans deep learning, computer vision, and natural language processing, with a focus on creating scalable and efficient models. At Events.com, I lead a team in building end-to-end pipelines for large-scale inference, utilizing cutting-edge technologies such as AWS, TensorFlow, and PyTorch.
Throughout my career, I have successfully curated custom datasets and implemented innovative AI applications, including a tax advisory chatbot and a course content generation pipeline. My work has consistently improved operational efficiency and user experience, as evidenced by my contributions to predictive modeling and real-time object detection in various industries. I am passionate about learning and adapting to new technologies, and I thrive in collaborative environments where I can mentor others and drive impactful projects.
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Work history, roles, and key accomplishments
Events.com
Jul 2021 - Present (4 years 4 months)
Led the development and deployment of end-to-end AI pipelines for large-scale inference, utilizing advanced techniques in deep learning and computer vision. Collaborated on innovative projects including a tax advisory chatbot and custom models for e-commerce applications.
Indr
Sep 2019 - Jun 2021 (1 year 9 months)
Developed and led end-to-end pipelines for machine learning and deep learning models, focusing on deployment for edge devices. Enhanced real-time face recognition systems and improved manufacturing processes through innovative model applications.
Rover.com
Sep 2017 - Aug 2019 (1 year 11 months)
Developed predictive models for customer matching and pet-sitting recommendations, utilizing collaborative filtering and random forest algorithms. Created scalable data pipelines and deployed features to enhance user experience through A/B testing.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
2013 - 2017
Grade: 3.85/4.00
Completed a Bachelor's degree in Computer Science, achieving a CGPA of 3.85/4.00. Served as a class topper and Teaching Assistant for multiple subjects, demonstrating strong academic performance and leadership skills.
Software and tools used professionally
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