# Lawrence Li

> Software Engineer @ Google

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/lawrenceli1

## Work Experience
### Software Engineer @ Google
Jan 2022 – Present | New York, New York, United States

### Software Developer @ H2Ok Innovations
Jan 2021 – Jan 2021 | Somerville, Massachusetts, United States
Built data pipeline to process time-series concentration data collected by IoT sensors at industrial chemical plants.
Designed and implemented a dynamic algorithm to correct sensor drift and identify anomalies in the spectral data.
Developed script to interact with client data in Cloud Firestore and automate the data modeling process, reducing the analysis time by 90%.
Built multi-output regression and classification neural networks to predict species concentrations for various chemical plants, reducing industrial operating costs by ~$50K.

### Engineer and Data Analyst @ Engineers for a Sustainable World
Jan 2019 – Jan 2021 | Ithaca, New York, United States
Designed (CAD) and installed a biodiesel vector system onto a diesel-powered tractor for usage on the university farms to analyze the benefits of switching to B100 biodiesel.
Used data science tools such as Pandas and Keras to interpret biodiesel operating data and quantify the effectiveness of the vector system technology.
Performed a life cycle analysis of the emissions impact of switching campus vehicles to B100 biodiesel.

### Machine Learning Intern @ ExxonMobil
Jan 2020 – Jan 2020 | Clinton Township, New Jersey, United States
Researched and developed deep learning models based on BERT and Detectron to evaluate visual question-answering (VQA) tasks on seismic images.
Designed a proprietary framework to train deep learning model on ~10,000 seismic images via transfer learning.
Built and presented a proof-of-concept VQA model with the potential to speed up seismic interpretation process 10x and reduce costs of exploratory drilling by ~$50M.

### Sensor Development Subteam Lead @ AguaClara Cornell
Jan 2018 – Jan 2019 | Ithaca, New York Area
Designed and developed photosensors to measure water turbidity for sustainable water treatment research.
Programmed microcontrollers (Arduino) to read sensor output and convert to calibrated concentration measurements.
Created a mobile app that connects to a borescope and converts image data to calibrated turbidity readings.

### Software Engineer @ Invictus Capital
Jan 2018 – Jan 2018 | Cape Town, South Africa
Used the Flask web framework to build a productized Initial Coin Offering (ICO) platform to automatically simulate thousands of Bitcoin and Ethereum transactions.
Implemented Python backend to generate BTC/ETH testcoins, verify and send secure transactions, and store ICO data in a MySQL database.
Wrote extensive unit tests and optimized the transaction script, decreasing runtime of the simulation by 80%.


## Education
### Master of Engineering - MEng in Computer Science
Cornell University
Jan 2021 – Jan 2022

### Bachelor of Science - BS in Chemical Engineering
Cornell University
Jan 2017 – Jan 2021

### ChemEng Discovery Space Program
Imperial College London
Jan 2019 – Jan 2019

### Full Stack Coding
iXperience
Jan 2018 – Jan 2018


## Contact & Social
- LinkedIn: https://linkedin.com/in/lawrenceli-eng

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Source: https://flows.cv/lawrenceli1
JSON Resume: https://flows.cv/lawrenceli1/resume.json
Last updated: 2026-03-23