Daniel Cole
AI/ML Engineer | Computer Vision Specialist | Deep Learning Expert
Passionate about building intelligent systems that solve real-world problems. Specializing in computer vision, natural language processing, and MLOps with 6+ years of experience.
About Me
Ph.D. in Computer Science
UC Berkeley
2018-2022
Machine Learning & Computer VisionM.S. in Artificial Intelligence
UC Berkeley
2016-2018
Deep Learning & Neural NetworksB.S. in Computer Science
UC Berkeley
2012-2016
Software Engineering & MathematicsI'm a passionate AI/ML Engineer with over 6 years of experience in developing cutting-edge solutions using artificial intelligence and machine learning. My expertise spans across computer vision, natural language processing, and deep learning architectures.
I believe in creating AI systems that are not only technically robust but also ethically sound and user-friendly. My goal is to bridge the gap between research and real-world applications.
"The best way to predict the future is to create it through intelligent systems."
Skills & Expertise
Featured Projects
Showcasing innovative AI/ML solutions that solve real-world problems and push the boundaries of technology.
Other Notable Projects
Interested in seeing more of my work or collaborating on a project?
Work Experience
TechVision AI
Leading the development of computer vision solutions for autonomous systems. Built and deployed ML models that process over 1M images daily with 99.2% accuracy.
Key Achievements:
- →Developed a real-time object detection system reducing processing time by 60%
- →Led a team of 5 engineers in building MLOps infrastructure
- →Published 3 research papers in top-tier AI conferences
DataFlow Solutions
Designed and implemented end-to-end ML pipelines for natural language processing applications. Specialized in transformer architectures and large language models.
Key Achievements:
- →Built a custom NLP pipeline processing 10M+ documents monthly
- →Improved model inference speed by 40% through optimization techniques
- →Mentored junior engineers and established ML best practices
Stanford AI Lab
Conducted research on generative adversarial networks and their applications in computer vision. Contributed to open-source projects and academic publications.
Key Achievements:
- →Co-authored 2 papers on GANs published in CVPR and ICCV
- →Developed novel architectures for image-to-image translation
- →Contributed to PyTorch and TensorFlow open-source projects
Contact Me
I'm always open to discussing new opportunities, innovative projects, or potential collaborations in AI/ML. Feel free to reach out!
Areas of Interest
- • AI/ML Consulting & Development
- • Research Collaborations
- • Speaking Engagements
- • Open Source Contributions
- • Mentoring & Education
Have a specific question or project in mind? Send me a message and I'll get back to you as soon as possible.
Download my complete resume with detailed experience, education, and technical skills.