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Robotics Enthusiast, interested in Geometric Computer Vision
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Graduate Robotics Masters Student at WPI
Data Scientist
June 27, 2026 – Present
Edge-Detection
October 15, 2024 – October 15, 2024
This project involves developing a simplified boundary detection algorithm that combines texture, brightness, and color gradients with classical edge detection methods like Sobel and Canny. The final boundary map is generated by fusing these feature gradients with traditional edge detection methods for more robust and accurate edge detection.
View ProjectNeRF-Implementation-for-Efficient-3D-Scene-Reconstruction
April 15, 2024 – April 16, 2024
Led the development of an optimized Neural Radiance Fields (NeRF) implementation for 3D scene reconstruction, focusing on synthesizing novel views from sparse 2D images using advanced deep learning techniques.
View Project3D-Scene-Reconstruction-via-Structure-from-Motion-SfM
April 15, 2024 – April 16, 2024
Led the development of a Structure from Motion (SfM) pipeline for 3D scene reconstruction from 2D images at Unity Hall, employing SIFT with RANSAC for robust feature detection and optimizing Essential Matrix calculation via SVD.
View ProjectMachine-Learning-Projects
July 2, 2021 – July 4, 2021
Given unlabeled dataset of RPM of Engine and Speed of a car, Label each data point with its Gear Ratio
View ProjectCovid-Classification-Using-X-Ray-Images
June 23, 2021 – February 1, 2022
Built a Convolution Neural Network Model to predict Positive or Negative Covid-19 cases from X ray images
View ProjectCovid-19-Prediction
June 23, 2021 – August 15, 2021
Given a dataset on the number of cases and deaths due to COVID-19, it's useful to know how the situation will progress in an area based on tthe current stats, so we can lock down, or loosen restrictions as needed
View ProjectNLP-Language-Translation
June 22, 2021 – July 4, 2021
My first NLP Project, using seq2seq model to translate English sentences to German.
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in advanced topics within Data Science and Robotics, aligning with an innovative and research-oriented culture. The diversity of projects, from 3D reconstruction to NLP and medical imaging, suggests adaptability and a broad intellectual curiosity. However, the lack of team-based project descriptions or professional experience beyond a student role makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate leadership in some projects, but no direct assessment of collaboration, problem-solving under pressure, or communication style is available.