Jun 2023 – Present · 2 yrs 11 mos

• Iterative invests in early stage companies and runs an accelerator focused on Southeast Asia. Our mission is to fund and build the next unicorns in the region. We saw a giant gap in the lack of founder friendly resources and community in the region and decided to change that. Iterative is operator-led and focuses specifically in making good founders, great founders. We look at every sector: AI, fintech, real estate, marketplaces, saas, crypto, healthcare, etc.
• Find out more at: iterative.vc.
• If you're a startup advancing the region, please apply. If you're an investor that wants to help up-level the region, lets connect.

Feb 2022 – Nov 2024 · 2 yrs 9 mos · London Area, United Kingdom · Hybrid

• Goodnotes is the No.1 note-taking App on iPad, awarded Apple iPad App of the year 2022 and loved by 25M+ users all over the world.
• Lead engineering functions across multiple areas including front-end, mobile, back-end, DevOps, machine learning and QA
• Build and grow the engineering team from ~40 to 170 engineers, drive engineering excellence, continuously improve on delivery speed and quality during the period of rapid growth.
• Manage budgets and resources, track engineering KPI, ensure timely delivery of projects, own technical strategy, heavily involve in product strategy & execution
• Focused on achieving engineering excellence by optimizing cost/impact ratio, fostering agility, ensuring high-quality delivery, promoting innovation, and enhancing technical competency.
• Member of the leadership team, contributing to company and product strategy, manage technical partnerships with other leading tech companies.

Feb 2020 – Nov 2022 · 2 yrs 9 mos · San Francisco Bay Area

Jan 2020 – Present · 6 yrs 4 mos

• FoundersHK (港創人) is a nonprofit, a nonpartisan, and a Hong Kong-US-based organization. FoundersHK is a community where Hong Kong founders can get connected, get support from others, be mentored, and learn from each other.
• Our goal is to bridge and connect founders and tech leaders in both Silicon Valley and Hong Kong with the mission to build Hong Kong as the next tech hub of the world.
• To learn more > https://www.foundershk.com/

Oct 2019 – May 2022 · 2 yrs 7 mos

Dec 2018 – Dec 2019 · 1 yr · San Francisco Bay Area

• Mentor CEO/Co-Founders of top notch early stage companies around the world as part of the Blackbox accelerator program.

May 2017 – Dec 2021 · 4 yrs 7 mos

• Nex believes that play is second nature. It’s fun, social, and the most fundamental way to be physically active. Which is why we’ve created new experiences that turn your world, anytime and anywhere, into play.
• Check it out! https://www.nex.inc

Feb 2015 – May 2017 · 2 yrs 3 mos · Cupertino, CA

• Managed a team of engineers, overseeing technical decisions and project delivery.
• Led the transition of iWork from native to web with real-time collaboration (RTC), technical lead of the RTC infrastructure.
• Successfully launched iWork for iCloud, a product showcased at WWDC.

Apr 2012 – Jan 2015 · 2 yrs 9 mos · Cupertino, CA

• iWork for iCloud
• A beautiful, responsive and real time collaborative online editor
• Developed front end editor features
• Developed the collaborative, simultaneous editing supported system

Jun 2011 – Apr 2012 · 10 mos · Greater Seattle Area

• Bing Data Mining: Data Processing System, Data scrubbing, Data extraction API
• Bing Data Mining: Engineering Excellence v-team
• GoldStar Award - 2011
• One time bonus award granted to employee with outstanding performance
• Data Platform DRI award - 09/2011 to 12/2011
• Granted to team member who with exellence contribution to ensure live site service quality

Nov 2008 – May 2011 · 2 yrs 6 mos · Greater Seattle Area

• Office SharePoint 2010: Web Analytics service E2E
• Office.com: BI Cube and ELT system
• Bing Data Mining: MSN, Bing Mobile data pipeline E2E
• Bing Data Mining: Data Extraction API
• Best Code Reviewer Award - 09/2010 to 12/2010
• Granted to team member who provided the highest number of useful code review feedback

Sep 2006 – Sep 2008 · 2 yrs

• Research on Gene Prediction models and Algorithm
• Publications:
• T.Y. Lam, I. Meyer. Efficient parameter training for hidden Markov models using posterior sampling
• training and Viterbi training, Algorithms for Molecular Biology. 2010. (under review)
• T.Y. Lam, I. Meyer. HMMCoverter 1.0: a toolbox for hidden Markov model, Nucleic Acids Research. 2009.