MUHAMMAD AHTASHAM SHAHZAD

Spearheaded algorithmic trading system development, optimization, and deployment using MQL4, MQL5, Pine Script, and Python, managing end-to-end projects from strategy design to live execution.

Designed, coded, and maintained custom Expert Advisors (EAs), indicators, and scripts for MetaTrader platforms, building advanced trading automation tools including paper trading and copy trading solutions.

Developed and deployed real-time Telegram trading bots for precise trade execution, alerts, and account management, automating trading workflows with Python and optimizing Pine Script strategies for TradingView.

Engineered and implemented robust risk management modules (break-even, trailing stop, position sizing) to enhance trading safety and performance across diverse brokers and exchanges.

Contributed to the development of Reburst and Trading Easy Tools, significantly enhancing user-friendly trading applications and integrating new technologies for improved capabilities.

Assisted faculty in delivering engaging lectures and tutorials for core computer science subjects including Programming Fundamentals, Theory of Automata, and Software Engineering.

Guided over 100 students in mastering key programming concepts, coding practices, and effective problem-solving approaches, fostering deeper understanding.

Conducted interactive lab sessions, evaluated assignments, and provided constructive feedback, contributing to improved student performance.

Supported course instructors in developing comprehensive exam materials and academic resources, enhancing instructional quality and student success.