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Templar
Data Scientist
June 29, 2026 – Present
SparseLoCo
July 6, 2025 – August 22, 2025
CCLoco: Scaling Up Top-K Error Feedback with Local Optimizers
View ProjectSEAL
March 24, 2023 – December 27, 2023
Code for the paper Simulated Annealing in Early Layers Leads to Better Generalization (CVPR 2023)
View ProjectMLUtilities
February 4, 2023 – February 4, 2023
Utility library for Transfer Learning, Loss Landscape Visualization, Hessian Analysis, Layer-wise KNN-probe, and more!
View ProjectMeshModification
February 4, 2023 – February 4, 2023
Given a mesh and a text prompt, optimize the mesh to represent the text. The goal is to do data augmentation for 3D datasets
View ProjectRelPose
October 8, 2022 – February 6, 2023
Predict the angle between different images of an object
View ProjectShow-attend-to-everything-and-tell-Image-Captioning-with-More-Thorough-Image-Understanding
March 27, 2020 – March 27, 2020
Code for our Paper on Image captioning
View ProjectCS231n
March 27, 2020 – March 27, 2020
My solutions to the Stanford's Computer Vision course
View ProjectCultural Fit Analysis
The candidate's extensive personal projects in AI/ML indicate a strong passion for the field, which could align well with a research-oriented or innovative culture. However, the lack of team-based project descriptions or collaborative experience makes it difficult to fully assess cultural fit. The single professional experience entry is current and lacks detail, limiting insight into professional work habits.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is limited to personal projects and a current Data Scientist role with no specified duration or responsibilities.