<aboutme>

   As a computer science student at City University of Malaysia, I excel in machine learning and software engineering. Proficient in Python, JavaScript and C++ , I have developed an advanced stock prediction system and energy forecasting models. Currently at Gridicity I engineer machine learning solutions for energy price forecasting and EV charging optimization, while my previous role at EAH-Media involved developing disaster simulation algorithms. Academically, I maintain a CGPA of 3.8 and have been recognized as a top 1% performer on MauriCode platform with over 500 problem solutions. I've demonstrated strong leadership capabilities and ability to work with teams through my work experience and academic collaborations, consistently delivering high-impact projects while mentoring junior developers, showcasing my commitment to excellence and continuous learning. Beyond my technical pursuits, I'm an avid rock climber who finds that solving complex climbing routes parallels the problem-solving mindset needed in software engineering.

</aboutme>

<resume>

   View Resume

</resume>