Machine Learning Researcher at PIK - Potsdam Institute for Climate Impact Research
Abu Dhabi Emirate, United Arab Emirates
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Summary
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Senior
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Top School
Kohsheen Tiku is a Machine Learning Engineer based in the New York City area with 8 years of experience bridging software engineering and quantitative finance. He has built production ML and trading systems—from CNN-driven NLP at Samsung and high-performance data connectors at Magnitude to hierarchical reinforcement-learning portfolios at Bank of America and mid-frequency alpha strategies at WorldQuant (top 10 in the 2024 International Quant Championship). Comfortable shipping end-to-end solutions, Kohsheen combines C++/Java performance engineering with research-led ML and finance expertise developed during an NYU Financial Engineering masters. Now at Apexon, he focuses on applying rigorous statistical techniques and ML to real-world problems, bringing a practitioner’s attention to latency, robustness, and measurable risk-adjusted returns. An understated but consistent theme in his work is translating research prototypes into scalable, production-ready systems that materially improve performance metrics.
8 years of coding experience
4 years of employment as a software developer
Maths Physics, Maths Physics at AECS Magnolia Maaruti Public School - India
Master's degree Financial Engineering/ Applied Math, Master's degree Financial Engineering/ Applied Math at NYU Tandon School of Engineering
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at B. M. S. College of Engineering
Contributions:1 push, 1 branch in 2 years 6 months
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Kohsheen Tiku - Machine Learning Researcher at PIK - Potsdam Institute for Climate Impact Research