Loading...

Commits This Year

4

Total Projects

0

Blog Posts

5+

Years Experience

Recent Activity

Latest experience: Senior Machine Learning Engineer at Affirm

Led cross-functional teams on loan profitability systems

Latest Project: Stereocilia Modeling

Cryo-EM 3D tomographic analysis

Experience

Senior Machine Learning Engineer

Portfolio Machine Learning, Affirm | Jan 2024 – Feb 2025

Spearheaded the design and implementation of the next phase of the loan profitability-based underwriting decision system, coordinating efforts across 4 cross-functional teams. Led a working pod of 5 individual contributors, providing strategic guidance and technical direction on multiple concurrent projects.

Machine Learning Engineer

Portfolio Machine Learning, Affirm | Feb 2023 – Jan 2024

Architected and implemented a new underwriting decision system based on loan profitability (ROA), generating a proprietary online model resulting in $8.2M+ contribution margin. Designed and onboarded 10+ analysts to a new internal loan valuations platform.

Machine Learning Engineer

Computational Finance, Affirm | Sep 2020 – Feb 2023

Engineered a patented simulation-based loan pricing optimization engine, reducing analyst workflow from 1 week to 6 hours. Productionized XGBoost model for user loan term selection with robust monitoring and scaling infrastructure.

Machine Learning Engineer

Machine Learning Platform, Affirm | May 2019 – Sep 2020

Designed horizontally scalable Online Feature Store Service using AWS Aurora and gRPC, serving 1M+ features at 119 QPS. Built monitoring and data validation framework processing 5M+ rows of parquet data daily.

Patent

System, Method and Apparatus for Optimization of Financing Programs

US-20240104645-A1 | Filed Sep 22, 2022 | Issued Mar 28, 2024

Patented simulation-based loan pricing optimization system that revolutionized analyst workflows and pricing strategies.

Education

University of California, Berkeley

B.A. Data Science, B.A. Molecular and Cell Biology | Aug 2014 – Dec 2018

Dual degree in Data Science and Molecular & Cell Biology, combining quantitative analysis with biological systems understanding.

Skills

Programming Languages

  • Python
  • SQL
  • Java

Technologies & Frameworks

  • Airflow
  • AWS
  • Kubernetes
  • PySpark
  • Snowflake
  • XGBoost

Tools & Platforms

  • Chronosphere
  • Git
  • gRPC
  • AWS Aurora
Stereocilia Modeling

Stereocilia Modeling

Using existing cryo-EM 3D tomographic whole mount stereocilia data sets, I segmented actin filaments and cross-connectors using semi-automated segmentation tools.

View on GitHub
Automatic Segmentation

Automatic Segmentation

Collaborative development of automated approach for segmentation and modeling with CNN in Keras, TensorFlow.

View on GitHub
3D Reconstruction

Electron Microscopy and 3D Reconstruction

Computational Biology Final Project focusing on advanced imaging and reconstruction techniques.

View on GitHub
Flo Chrome Extension

Flo - Chrome Extension

Applied Data Science Final Project - a browser extension for enhanced productivity.

View on GitHub

Coming Soon

I'm working on sharing insights about machine learning, software engineering, and technology trends.

LinkedIn

tingchihlin

GitHub

rexlintc

Twitter

@rexlintc