Hongyu Li

Hongyu Li

Software Engineer

I'm a software engineer interested in AI, product platforms, and scalable, robust systems. I bring strong product sense to technical work, with a focus on taking ideas from useful product experiences to reusable platform foundations.

About

Research Interests

Machine LearningNatural Language ProcessingLanguage ModelingSoftware EngineeringSystems & Infrastructure

Education

Carnegie Mellon University

B.S. in Computer Science, Minor in Machine Learning · Aug 2013 – May 2017

  • Coursework: Machine Learning, Search Engines, NLP, Operating Systems, Distributed Systems
  • Teaching Assistant: Search Engines, Software Construction

Skills

DevOps & Frameworks · AWS, Spring Boot, PyTorch, React, Angular

Programming · Java, Python, OCaml, JavaScript

Experience

Tech Lead Manager · Zip

ERP Platform

Oct 2025 – Present
  • Tech lead for a 5-engineer team, driving project and resource planning, system design, and cross-functional collaboration.
  • Led enterprise stability initiatives across ERP integrations, improving master data pull reliability and driving stability improvements that directly impacted enterprise customer retention.
  • Drove ERP on App Studio enablement, migrating ERP integrations onto the App Studio platform to unlock support for a broader range of ERP systems and expand the addressable customer base.

Tech Lead · Zip

App Studio & Marketplace

May 2024 – Oct 2025
  • Tech lead for a 6-engineer team, driving system design, cross-functional collaboration, and engineering mentorship.
  • Built App Studio from 0 to production, a no-code integration platform enabling organizations to build custom procurement integrations in days.
  • Designed workflow primitives for triggers, actions, and branching logic to connect Zip with third-party systems.
  • Built the Connector SDK, execution engine, and job scheduler framework supporting dynamic job creation with flexible scheduling patterns, adopted by multiple product teams.
  • Led product infrastructure work, driving a major database migration project to improve scalability and data model flexibility.
  • Extended the platform to support AI agent use cases, treating agents as first-class entities that orchestrate workflows across multiple systems.

Member of Technical Staff · Liquido Inc.

Core Payment Team

Mar 2022 – May 2024
  • Tech lead for a 5-engineer core payment team.
  • Architected the Pay-in service from 0 to production, scaling to 180K transactions per day across 5 countries with 20+ payment methods and generating millions in annual revenue.
  • Built core infrastructure including merchant configuration, vendor gateway, routing engine, virtual account system, and anti-fraud system.
  • Led a large-scale database migration to support horizontal scalability and long-term growth.
  • Worked with Java, Spring Boot, MySQL, and AWS.

Senior Software Engineer · Meta Platforms, Inc.

BigCode Team

Aug 2017 – Mar 2022
  • Tech lead for Code AI infrastructure, building unified indexing, training, service, and inference infrastructure across Neural Code Search, Smart Code Completion, Getafix, and Aroma.
  • Built Smart Code Completion from 0 to 1 with 200K adoptions per day and Neural Code Search with 100K+ queries per day.
  • Published research on code search and ranking at ICSE, FSE, and MAPL, and presented at FSE 2019.

Software Engineer Intern · Facebook

May 2016 – Aug 2016
  • Built the NUX tip framework for Instagram Business Insights
  • Frontend NUX tip dynamic rendering on iOS

Software Engineer Intern · Google

May 2015 – Aug 2015
  • Built UI testing automation for Chromecast Android app

Publications

  1. 01

    Comprehensive analysis of 2.4 million patent-to-research citations maps the biomedical innovation and translation landscape

    Nature Biotechnology · Jun 2021

    Anoop Manjunath*, Hongyu Li*, Shuchen Song*, Zhixing Zhang, Shu Liu, Nathan Kahrobai, Arya Gowda, Angelina Seffens, James Zou, Ishan Kumar

  2. 02

    Learning autocompletion from real-world datasets

    ICSE 2021 · May 2021

    Gareth Ari Aye, Seohyun Kim, Hongyu Li

  3. 03

    When deep learning met code search

    ESEC/FSE 2019 · Aug 2019

    Jose Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra

  4. 04

    Retrieval on Source Code: A Neural Code Search

    MAPL 2018 · Jun 2018

    Saksham Sachdev, Hongyu Li, Sifei Luan, Seohyun Kim, Koushik Sen, Satish Chandra

  5. 05

    Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs

    SIGIR 2017 KG4IR · Aug 2017

    Hongyu Li, Chenyan Xiong, Jamie Callan

Projects

Ask Me Anything

Sep 2016 – May 2017

Open-domain question answering system with Freebase

  • Built an end-to-end QA system with Freebase from scratch
  • Built language models on matched relations using search engine retrieval

Leap Learn

Apr 2015

Web app teaching hand gestures with Leap Motion

  • 2nd Place at SteelHacks 2015

Project Kirby

Nov 2013

Original side-scrolling game written in Python