AndreasĀ Verdelis
Member Of Technical Staff at ReflectionAI
New York, New York, United States
Summary
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Rockstarš
Top SchoolAndreas Verdelis is an ML-focused software engineer with seven years of experience building production-ready systems and research prototypes across startups and research labs. He holds an MS in Computer Science from the University of Maryland where he specialized in deep NLP and reinforcement learning, and has blended that research expertise into roles from founding engineer at Umshini to machine learning and deep learning positions at Knexus Research, Arena, and ReflectionAI. Comfortable across Python, Java, C, and JavaScript, he bridges algorithmic research and practical engineering to move models from experiments to deployable services. Based in New York, he has contributed to university-led computer vision and networking research while later shaping product-focused ML at industry labs. Notably, his path shows a pattern of translating academic advances into startup-grade implementations, making him effective at both prototyping novel models and hardening them for real-world use.
7 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of MarylandThe Bronx High School of Science
English, Greek
Github Skills (8)
gymnasium10
api10
multi-agent-reinforcement-learning10
reinforcement-learning9
multi-agent9
20489
deep-reinforcement-learning9
agent8
Programming languages (1)
Github contributions (5)
av3006/av3006.github.io
Dec 2018 - Dec 2018
Contributions:2 pushes, 1 branch in 1 day
av3006/722f
Apr 2021 - Apr 2021
Contributions:4 pushes, 1 branch in 5 days
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