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Co-Founder & CTO @ AEON | Ex-Google | Stanford Alumni
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Stanford University
Master of Science - MS, Electrical and Electronics Engineering
N/A – Present
Rensselaer Polytechnic Institute
Bachelor of Science - BS, Computer & Systems Engineering dual Computer Science
N/A – Present
AEON Protocol
Co-Founder & CTO
October 1, 2024 – Present
Remote
Software Engineer
August 1, 2019 – October 1, 2024
Mountain View, California
Otter.ai
Software Engineer Intern
June 1, 2018 – September 1, 2018
Los Altos, California
Microsoft
Software Engineer Intern
July 1, 2017 – August 1, 2017
Now-Casting Employment
April 1, 2018 – June 1, 2018
Currently, there are no accurate nowcasts - or daily predictors - of national unemployment. Utilizing both subjective, economic sentiment data and objective, demographic data, we propose utilizing a new computational approach to accurately predict daily unemployment rates. By combining unsupervised and supervised methods, we are able to overcome many of the existing biases currently plaguing survey data, increasing the accuracy of survey-based predictions from an RMSE of 0.164 to 0.010. Furthermore, we show that subjective data can increase the accuracy of our predictive model, encouraging future work investigating the adoption of economic sentiment into nowcasting a range of economic indicators.
Super Resolution with CNNs and GANs
April 1, 2018 – June 1, 2018
We investigated the problem of image super-resolution (SR), which is to reconstruct high-resolution images (HR) from low-resolution input images (LR). The goal of this project is to improve super-resolution of human faces and overcome the limitation of extant models. • Presented a residual learning framework (Deep Recursive Residual Network (DRRN)) to ease the training of the substantially deep network; Reformulated the structure of DRRN to improve its performance • Built a super-resolution generative adversarial network (SRGAN) framework to recover high-frequency details of HR images and improve images' perceptual qualities; Proposed several loss functions based on perceptual loss, i.e. SSIM loss and/ or total variation (TV) loss, to enhance the structural integrity of generative images • A condition is injected to resolve the problem of missing partial information associated with GANs The results show that our methods and trails can achieve equivalent performance on most of the benchmarks compared with previous state-of-art methods, and out-perform them in terms of the structural similarity.
Bunny World
February 1, 2018 – March 1, 2018
An android game (Bunny World) where users can edit a game by defining different shapes/texts and play the game using Java and Android Studio.
Cultural Fit Analysis
The candidate's background includes experience at large tech companies and a co-founder role, indicating adaptability to different organizational structures. Project diversity, including deep learning, mobile game development, and economic forecasting, suggests a broad interest and ability to work across various domains. However, the target role is 'Data Analyst', while the experience is heavily skewed towards Software Engineering and Machine Learning research. This might indicate a potential mismatch in day-to-day responsibilities and expectations for a pure Data Analyst role, which typically involves more SQL, dashboarding, and business intelligence, rather than deep ML model development. The lack of explicit data analyst tools/technologies in the resume makes it difficult to fully assess direct cultural fit for a dedicated data analyst position.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to tackle complex problems and propose novel solutions, suggesting strong problem-solving and analytical skills. The co-founder role at AEON Protocol implies leadership and entrepreneurial drive. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.