Work Experience
While I was getting my BS in Computer Science: Intelligence & Theory at Georgia Tech, I started a geotechnical company called Levitree aimed at land resilience and carbon sequestration. In parallel, I was lucky to spend a couple semesters interning in as a data scientist and machine learning engineer. Otherwise, I was focused on my research at Georgia Tech and Caltech.
Co-Founder & Head of Software Engineering @ Levitree
We are the only solution to elevating terrain without property destruction & are the cheapest carbon sequestration option by an order of magnitude.
- Dates: January 2021 - Present
- Description: Rising sea levels and subsidence make flooding an increasingly severe threat. Levitree addresses this by injecting slurried wood underground, which hydraulically fractures the land to create an aperture, elevating properties above flood levels. This process also permanently sequesters the carbon stored in the wood. Unlike prohibitively expensive alternatives such as property demolition and rebuilding or sea walls which generally cost hundreds of millions, our method affordably elevates terrain while sequestering carbon at an order of magnitude less than the cost of direct air capture.
Reinforcement learning for massively parallelized walking controllers & robust safety garauntees using model predictive control.
- Dates: April 2024 - August 2024
- Description: Check out the two projects I worked on over the summer here and here. Absolutely loved my time here, probably one of the most learning-dense experiences I’ve ever had.
Artificial Intelligence Intern @ Optimal Dynamics
Hierarchical reinforcement learning for planning optimization.
- Dates: January 2023 - August 2023
- Description: I contributed to multiple projects focused on improving optimization and model reliability. First, I designed a hyperparameter tuner for the primary optimization algorithm, incorporating trucking feedback data for continuous fine-tuning. Second, I developed drift analysis software to monitor prediction accuracy over time, identifying and addressing quality degradation due to anomalies. This system tracked incremental model changes and filtered out harmful data streams to maintain robust performance.
Machine Learning Intern @ Honeywell
NLP and generative language models to automate workflows.
- Dates: January 2022 - May 2022
- Description: I implemented generative language models to automate quote generation, standardize product specifications, and recommend optimal purchase options based on past data. I also created entity recognition and document classification tools to parse and categorize order requests.
Optimization algorithms for route planning in warehouses.
- Dates: August 2021 - December 2021
- Description: I implemented numerous different optimization algorithms to create a toolbox for generating routes through warehouses for robots. I additionally designed search algorithms and used principle component analysis to analyze the efficiency of workflows.
Studied human perception through virtual simulations.
8 years of teaching mathematics up to differential equations.
- Dates: January 2012 - February 2020
- Description: Tutored from 10 to 18 years old topics ranging from basic arithmetic to linear algebra and differential equations.