iammhk

Quantitative Researcher at Credit Suisse (UBS), I am solely responsible for validating firm-wide algorithmic trading models, contributing key insights to enhance model performance and monitoring. Additionally, I have collaborated with cross-functional teams to validate machine learning models across various business areas such as Compliance, HR, and Wealth Management.

During a recent bank merger, I demonstrated adaptability by effectively validating models amidst organizational changes, ensuring a seamless transition and continuity in model review and migration. Furthermore, I played a pivotal role in establishing guidelines and procedures for validating Generative-AI and Large Language Models (LLMs) within the UBS team.

In addition to my professional experience, I am currently pursuing a doctorate in Statistical Mechanics and Machine Learning at the Indian Institute of Technology (IIT) Patna. My passion for tackling cutting-edge problems and collaborating with talented individuals has been a driving force throughout my career.