Work Experience

Amazon · AGI Org, LLM Post-Training
Machine Learning Engineer

Build and optimize distributed LLM post-training systems, accelerate research iteration, and develop tooling for science experiments.

2025 June - Present
Instacart · Grocery Marketplace Platform
Machine Learning Engineer

Led ML projects addressing marketplace problems, owning the work from problem framing through model development, experimentation, and production serving.

2021 March - 2025 May
University of Pennsylvania
Research Assistant
2020 May - 2020 Aug.
ViewFin · Blockchain Tech Firm
Software Engineer
2019 May - 2020 July
Paymentus · Payment SaaS
Application Engineer
2017 Nov. - 2018 Aug.
Citi Group · Financial Institution
Software Developer
2016 June - 2017 Nov.
Bell Canada · Telecommunications
Business Intelligence Analyst
2015 Summer
Career Transition

In my first two years of undergraduate studies, I wanted to know how the world works and wanted to build a solid analytical mindset, which led to my Economics major. Having that foundation, I went to business school to study how businesses operate, how to manage employees, how to raise capital in the financial market, how to market a product and other related business subjects. Our business courses were all taught using case-studies, which is a risk-free way to become a strategic decision-maker.

Time was a major constraint, in pursuing my childhood passion on the side. I developed a passion for computers from my parents’ influence as software developers in the 90s. Memories such as playing Cyberdogs with my dad in DOS or publishing my first HTML webpage on GeoCities still vividly linger in my head.

After a year studying Business, I realized that simply analyzing different companies and products wasn't enough for me, I wanted to be part of creating the product, which led to me switching into Computer Science. Computer Science wasn't about programming, rather it was about finding patterns, developing efficient solutions given numerous constraints, and being able to think abstractly to generalize solutions.

I haven't, for a second, regretted my decision. These unique experiences define who I am. My computer science background enhanced my problem solving abilities. My business and economics background provided me with an acumen for seeing the bigger picture and a mentality to derive implication from facts.

I would like to thank all of my friends' and mentors' support along the way. Without them, I wouldn't have come this far.

Deloitte · Consulting Firm
Business Technology Analyst
2014 Summer
McKinsey & Company · Consulting Firm
Summer Intern
2013 Summer
Canada China Business Council · Non-governmental Organization (NGO)
Event Coordinator
2012 Summer
Bank of Montreal · Financial Institution
Personal Banking Intern
2011 Summer

Education

University of Pennsylvania
Computer Science · AI/Machine Learning
2019-2020
University of Western Ontario
Computer Science & Economics
2014-2016
University of Western Ontario
Business Administration
2013-2014
University of Western Ontario
Economics
2011-2013