Summary
Trisha Gupta is a Quantitative Technologist with eight years of engineering experience, blending computer science and finance expertise across roles at Qube Research & Technologies and JPMorgan Chase. She builds production-ready systems using JavaScript, Java, C++, and Python, and applies machine learning to quantitative problems and trading workflows. Her background includes impactful internships at Google and Mozilla—where her Firefox certificate error page project shipped and was featured—demonstrating a knack for improving user-facing systems. At J.P. Morgan she contributed to an API Gateway and led a Global Hackathon-winning sentiment analysis project, showing both architectural and rapid-prototype strengths. Based in Hong Kong with academic roots at The University of Hong Kong and an exchange at University College Dublin, she combines global perspective with hands-on delivery. Colleagues describe her as customer-focused and efficiency-minded, routinely turning complex requirements into elegant, high-performance solutions.
8 years of coding experience
3 years of employment as a software developer
High School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at Seth Anandram Jaipuria School, Kanpur
The University of Hong Kong (HKU)
Exchange Semester Computer Science, Exchange Semester Computer Science at University College Dublin
English, Hindi, Chinese