Elan Goldberg
@elangoldberg
Visionary Software Engineer with expertise in machine learning and AI solutions.
What I'm looking for
With over 7 years of experience as a Software Engineer and Technical Leader, I have a proven track record in designing scalable applications and optimizing machine learning models. My journey has been marked by a passion for leveraging cutting-edge technologies to solve complex problems and drive business growth. At DeepVisionAI, I spearheaded the development of AI-powered predictive models that significantly reduced operational inefficiencies by 40% and engineered a cloud-native machine learning pipeline that cut deployment time from weeks to hours.
In my role as Technical Lead at CloudSphere Technologies, I designed and implemented a scalable microservices architecture that supported over 1 million daily active users. My commitment to adopting DevOps best practices resulted in achieving 99.9% system uptime through CI/CD pipelines. I take pride in mentoring teams, fostering technical growth, and enhancing cross-team collaboration, which I believe is essential for driving innovation and delivering exceptional software products.
Experience
Work history, roles, and key accomplishments
Senior Machine Learning Engineer
DeepVisionAI
Jan 2021 - Jan 2025 (4 years)
Spearheaded the development of AI-powered predictive models that reduced operational inefficiencies by 40%. Engineered a cloud-native machine learning pipeline, cutting deployment time from weeks to hours. Mentored a team of 5 engineers, fostering technical growth and improving cross-team collaboration.
Technical Lead - Full Stack Development
CloudSphere Technologies
Jun 2018 - Dec 2020 (2 years 6 months)
Designed and implemented a scalable microservices architecture using Docker, Kubernetes, and AWS to handle 1M+ daily active users. Championed the adoption of DevOps best practices, achieving 99.9% system uptime through CI/CD pipelines.
Software Engineer
NextGen Solutions
Aug 2016 - May 2018 (1 year 9 months)
Developed and optimized APIs in Python and Node.js, improving backend performance by 50%. Built reusable React.js components to enhance frontend development speed and maintainability.
Education
Degrees, certifications, and relevant coursework
Stanford University
Master of Science, Machine Learning
2015 - 2016
Grade: 3.87
Completed a Master of Science with a focus on advanced machine learning techniques and applications. Achieved a GPA of 3.87, demonstrating strong academic performance and expertise in the field.
Rutgers University - School of Arts and Sciences
Bachelor of Science, Computer Science
2010 - 2014
Grade: 3.9
Earned a Bachelor of Science degree, focusing on computer science principles and software development. Graduated with a GPA of 3.9, reflecting a strong understanding of the subject matter.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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