Enis A is a GPU Solutions Engineer with nine years of experience building cloud and GPU-powered infrastructure for AI and enterprise customers, currently based in New York. He has driven pre-sales technical engagements and closed multimillion-dollar deals at Oracle while running demos, POCs, and internal training—demonstrating both customer-facing fluency and deep technical know-how. Transitioning into specialized GPU roles at Vultr and Global AI, he focuses on making high-performance compute accessible for ML workloads and production deployments. Academically grounded with a BS in Computer Science from RPI and an MS in Data Science from Georgia Tech, he pairs formal ML training (including NLP coursework from eCornell) with practical algorithmic trading and software integration experience. Comfortable translating complex architectures for non-technical stakeholders, he also codes trading strategy integrations for platforms like TradingView and QuantConnect. A rolling-stone mindset keeps him exploring emerging AI infrastructure and data-driven trading systems rather than settling on a single niche.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Georgia Institute of Technology
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Rensselaer Polytechnic Institute
Certificate Natural Language Processing with Python, Certificate Natural Language Processing with Python at eCornell
Contributions:49 commits, 20 pushes, 1 branch in 6 months
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