Nicholas Wan
@nicholaswan
Senior full-stack engineer delivering scalable ads, fintech, and ML-integrated platforms.
What I'm looking for
I am a senior full-stack engineer with 8+ years building large-scale, revenue-critical ads, fintech, and productivity platforms using React/Next.js, TypeScript, Node.js, Go, C#/.NET, and Python. I focus on shipping resilient features that boost engagement and conversion while aligning engineering, product, and data science on measurable outcomes.
I've architected catalog ingestion and enrichment pipelines, operationalized RAG-driven retrieval and ranking models, and pioneered LLM-powered workflows to improve creative and query understanding for shopping and ads products. My work has supported major launches and measurable improvements in CTR, scalability, and revenue.
I emphasize observability, test-driven development, accessibility (WCAG), and platform resiliency using Docker, Kubernetes, AWS, Terraform, and CI/CD practices. I enjoy mentoring peers, collaborating cross-functionally on compliance and risk, and delivering production systems for millions of users.
Experience
Work history, roles, and key accomplishments
Orchestrated full-stack development of Shopping Ads and Performance+ surfaces, architected catalog ingestion pipelines and RAG-driven retrieval/ranking models, and launched features that improved ad click-through and monetization on a platform with 550M+ monthly active users.
Directed Instant Deposit and funding flows, built risk and fraud microservices, and industrialized ML pipelines to enable instant access while protecting capital and ensuring reliable ledger reconciliation.
Drove Campaign Manager and reporting experiences and backend campaign/targeting services, integrated CTR/conversion models, and built dashboards that powered LinkedIn Marketing Solutions' advertiser tooling at scale.
Software Engineer
Evernote
Apr 2017 - Oct 2019 (2 years 6 months)
Delivered advanced web client features and modernized sync/storage services during migration to Google Cloud, moving multiple petabytes of user data while maintaining service reliability for millions of users.
Education
Degrees, certifications, and relevant coursework
Harrisburg University of Science and Technology
Master of Science, Analytics
2017 - 2018
Completed a Master of Science in Analytics focused on data-driven methods and practical analytics applications.
Maharishi University of Management
Master's Degree, Computer Science
2012 - 2016
Earned a Master's degree in Computer Science with coursework and projects in software engineering and systems.
Tech stack
Software and tools used professionally
D3.js
Google Cloud Platform
GitHub
Kubernetes
Jenkins
GitHub Actions
React Native
PostgreSQL
Gmail
Node.js
Django
.NET Core
Next.js
.NET
Tailwind CSS
Material-UI
Redis
Terraform
React
jQuery
AngularJS
JavaScript
Python
HTML5
Java
CSS 3
TensorFlow
Kafka
Datadog
GraphQL
AWS Lambda
TypeScript
React Testing Library
Docker
Airflow
Evernote
Availability
Location
Authorized to work in
Job categories
Skills
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