Begad Alymany

About Begad Alymany

Honors Computer Science student and researcher passionate about machine learning, trading, and robotics. My recent research includes training a ResNet-18 baseline on the CIFAR-10N dataset under Dr. Suya’s guidance, achieving 23% test accuracy with only 10% labeled data, and running NVIDIA Warp simulations in Dr. Liu’s lab for a mortar-spreading robot for bricks to measure accuracy and cycle time using physics-based evaluation.I design ML-driven FX signal and alert systems and architect leakage-safe, walk-forward pipelines for FX trading, managing over $200K in capital across rule-based and ML strategies with 5%+ monthly returns. I also operate Detour & Vilanto e-commerce stores, delivering 50% first-month revenue lifts, 10–25% higher SKU conversions, and 30–60% more leads while reducing cost per lead by 20–35%.I code primarily in Python, C/C++, JavaScript/TypeScript, and SQL, and I enjoy clean data, fast feedback loops, and translating research into real-world trading and business applications.

Experience

1. Creator & Operator Quant Ml Trading Systems

   Signals For Metatrader 4

   Dec 2024 — Present

   Managed $200K+ trading capital; automated execution via MQL5 EAs.• Engineered FX ML pipeline for next-day direction with walk-forward validation and leakage-safe labeling.• Integrated Telegram alerts and ATR-based risk levels; multi-pair ingest and session-aware scanning.• Deployed rule-based and ML-driven strategies; averaged ~5% monthly; peaked at ~$10K weekly.

Education

• University of Tennessee, Knoxville

  Bachelor of Science - BS, Computer Science

• East Hamilton High School

  Engineering