# Emily Haw

> Software Engineer at Stripe

Location: London, England, United Kingdom
Profile: https://flows.cv/emilyhaw

Graduated from Imperial College London, attaining First Class Honours in MEng in Computing and Artificial Intelligence. Seeking to leverage my expertise to tackle complex business challenges and drive transformation using generative AI. Let's push the frontiers of where technology can bring us.

## Work Experience
### Software Engineer @ Stripe
Jan 2022 – Present | London, England, United Kingdom
Global Bank Transfers Team

- Scope and implement handling of ACH reversals to GA US Bank Transfers by September '23
- Design user facing API resources to expose new customer balance transaction types
- Integrate with billing engines to enable revenue sharing opportunities with top Stripe merchants using event-based architectures

### Off-Cycle Strat Intern @ Goldman Sachs
Jan 2022 – Jan 2022 | London, England, United Kingdom
Private Equity (Real Estate) Division

- Build end to end data pipelines to clean and process real estate related datasets into well-defined SQL tables using AWS Glue and Scala.
- Design database schemas for various large real estate datasets in Snowflake
- Design and develop models in Python to predict key metrics measuring relative performances of real estate in Europe. These models were exposed to a web-app through an API.
- Communicate project progress with various stakeholders (including deal team MDs) bi-weekly to ensure prompt delivery of project
- Secured a full time job offer

### Off-Cycle Placement Intern @ Goldman Sachs
Jan 2021 – Jan 2021 | London, England, United Kingdom
Software Engineering Intern in the Derivatives Trade Processing team

Worked on several projects using Java and Guava libraries, including:
- Calculation of estimated drain time of Kafka queues
- Migration of tradables from legacy engine in Slang to new platform in Java, as part of the initiative to demise legacy systems
- Implement a full stack tool to track the status of a trade in the trade processing pipeline
- Secured a full time job offer

### Personal Maths Tutor @ Imperial College London
Jan 2020 – Jan 2021 | London, England, United Kingdom

### Summer Analyst @ Goldman Sachs
Jan 2020 – Jan 2020 | London, England, United Kingdom
Summer Engineering Analyst working in GSAM-Fixed Income Money Markets division

- Extended production-level resources using Scala and Akka to evaluate cash constraints placed on FI accounts by Portfolio Managers (PMs)
- Results are stored in Elastic, with relevant alerts sent to PMs upon constraint violation
- Presented implementation using powerpoint to relevant stakeholders globally, which involved both PMs and MDs

### Participant in Google GetAhead EMEA @ Google
Jan 2020 – Jan 2020 | London, England, United Kingdom
- Selected for an 8 week virtual programme from students across EMEA.

- Participated in weekly technical challenges, live trainings, and interview workshops

### Summer Technology Intern @ NCR Corporation
Jan 2019 – Jan 2019 | Malaysia
- Worked with vanilla JS to enhance existing software to support text-to-speech functionality for current ATM UIs using an existing library, catering to the needs of the visually impaired
- Used ExpressJS to build a middleware that convert RESTful requests from ATM terminals to SOAP requests for back-end servers
- Used React and ExpressJS to create a proof of concept that reduces redundancy in ATM UI flows

### Participant in Hack-a-Project @ Facebook
Jan 2019 – Jan 2019 | London, United Kingdom
Attended a 3 week long programme at Facebook to come up with a project that culminated in a one-day hackathon. I also got to learn more about what working at Facebook is like.

### Student Researcher @ National University of Singapore
Jan 2016 – Jan 2017 | Singapore
Awards: Silver Award at the Singapore Science and Engineering Fair

- Spearheaded a research project at the National University of Singapore using Android Studio and Java to develop an application embedded into a wearable smart watch that enables accurate detections of falls in the elderly.

- Improved detection of falls from wrists to 66%, measured through repeated tests conducted in different fall scenarios


## Education
### Master of Engineering - MEng in Computing (Machine Learning and Artificial Intelligence)
Imperial College London

### Singapore-Cambridge GCE A Levels
Hwa Chong Institution

### Secondary School
Nanyang Girls' High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/emily-haw

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Source: https://flows.cv/emilyhaw
JSON Resume: https://flows.cv/emilyhaw/resume.json
Last updated: 2026-03-30