Ahmetcan Acar is a Senior Quantitative Researcher with eight years of experience building AI-driven trading and execution systems at Genex Software, specializing in execution algorithms, market impact modeling, and optimal execution. He blends C++ and Python engineering with advanced ML, reinforcement learning, and optimization techniques to improve HFT timing, multi-horizon forecasts, and portfolio construction. His background in econophysics and a current MS in Computational Science and Engineering give him a rare mix of theoretical rigor and production engineering. Previously he applied statistical modeling in banking and consulting roles, sharpening his ability to turn data into actionable trading strategies. Known as an early computer user (since 1998) and an HFT-focused developer, he combines low-latency engineering instincts with a research-first approach to push performance at the intersection of AI and markets.
8 years of coding experience
4 years of employment as a software developer
Economics, Economics at Boğaziçi Üniversitesi
Econophysics, Econophysics at The University of Queensland
İstanbul Atatürk Fen Lisesi
Master of Science - MS, Computational Science and Engineering, Master of Science - MS, Computational Science and Engineering at Boğaziçi University
Contributions:2 PRs, 37 pushes, 5 branches in 4 months
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