Demian Gaxiola
@demiangaxiola
Machine Learning Engineer with extensive experience in computer vision applications.
What I'm looking for
I am a Machine Learning Engineer with a strong background in machine learning and computer vision applications. My experience includes leading a team at Hammoq, where I successfully delivered enhanced recognition systems and developed synthetic image generation techniques to improve training data. I have a proven track record of deploying machine learning models, including trading algorithms in a stealth-mode startup, focusing on algorithm development and data analysis.
Throughout my career, I have demonstrated expertise in deep learning, data science, and algorithm development. I am passionate about leveraging my skills to support enhanced client experiences and drive technological innovations. My academic background includes a PhD in Computer Science, where I focused on deep learning and continuous learning challenges. I am eager to contribute to projects that push the boundaries of technology and improve real-world applications.
Experience
Work history, roles, and key accomplishments
Algorithm Developer and Data Scientist
RFB (Stealth Mode Startup)
Feb 2024 - Present (1 year 3 months)
Collaborated with a startup to design and implement machine learning-based trading algorithms, focusing on automating investment strategies using Python and modern frameworks. Developed and deployed predictive models to enhance real-time decision-making.
Machine Vision Team Leader
HAMMOQ Inc.
Sep 2023 - Jan 2024 (4 months)
Led the Machine Vision team in applying machine learning frameworks to industrial projects. Managed the development and training of machine learning models in Python, enhancing technological innovations suitable for client solutions.
Machine Vision Engineer
HAMMOQ Inc.
Jan 2022 - Sep 2023 (1 year 8 months)
Played a key role in enhancing core systems, including a clothing recognition system and NLP for text recognition. Led synthetic image generation to augment training data, improving model robustness.
Graduate Research Assistant
Lane Department of Computer Science and Electrical Engineeri
Aug 2016 - May 2019 (2 years 9 months)
Developed deep learning solutions for complex machine learning challenges, focusing on continuous learning and addressing catastrophic forgetting. Conducted research and reviewed academic papers for conferences.
Co-Founder, CTO
DoCS Solutions, SA de RL
Apr 2014 - Aug 2016 (2 years 4 months)
Provided consulting and training services in machine learning and computer vision to clients in healthcare and finance. Developed statistical methodologies to enhance data reliability in decision-making.
University Lecturer
Facultad de Ciencias, UNAM
Jan 2014 - Jan 2016 (2 years)
Taught Artificial Intelligence and Computer Vision courses to undergraduates, bridging academic concepts with industry applications.
Education
Degrees, certifications, and relevant coursework
West Virginia University
Doctor of Philosophy, Computer Science
2016 -
Grade: 4.00
Pursuing a Doctor of Philosophy in Computer Science with a focus on deep learning in continuous learning and addressing catastrophic forgetting. Achieved a GPA of 4.00.
Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, UNAM
Master's Degree, Computer Science
Completed a Master's Degree in Computer Science with a thesis focused on localization on humanoid robots by regression over synthetic views.
Facultad de Ciencias, UNAM
Bachelor's Degree, Computer Science
Obtained a Bachelor's Degree in Computer Science, covering foundational and advanced topics in the field.
Availability
Location
Authorized to work in
Job categories
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