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Carnegie Mellon University
Data Scientist
June 16, 2026 – Present
Image-Stitching-a-Pair-of-RGBD-Stereo-Images
April 30, 2021 – April 30, 2021
Image warping in a pair of RGB-D stereo images using ORB Features, BEBLID Descriptors, and quantized depthwise Homography Estimation
View ProjectFast-Road-Detection
April 27, 2021 – August 12, 2021
A memory guided framework for ultra-high speed road segmentation with high robustness.
View ProjectModelling-Control-and-Simulation-of-a-Planar-Quadcopter
April 16, 2021 – July 5, 2021
Develop a linear model of a planar quadcopter and develop a PD controller for position control and simulate it,
View ProjectPanorama-Stitching
February 5, 2021 – March 18, 2021
Implementation of Panorama stitching using ORB feature matching, and RANSAC for homography estimation, and stitching using Image pyramids.
View Projectmitacs-project-extractor
November 18, 2020 – August 22, 2022
A simple script that scrapes the Mitacs Globalink Webpage to extract a list of projects in a csv file.
View ProjectCarRacingv0-PPO-pytorch
November 2, 2020 – December 16, 2020
Solving the CarRacingv0 OpenAI Gym environment with an Actor-Critic Network and Proximal Policy Optimization using pytorch
View ProjectNon-Local-Means
October 22, 2020 – November 17, 2020
Python implementation of the Non Local Means algorithm for image denoising.
View ProjectViolaJones-EigenFace
September 26, 2020 – October 6, 2020
This is an implementation of a custom-trained face detection classifier using the Viola Jones Algorithm cascaded with an Eigen Face recognition system based on Principal Component Analysis.
View ProjectHardware-Accelerated-Motion-Estimation-using-FSBM-and-FPGA
November 13, 2019 – November 2, 2020
FPGA Implementation of Full Search Block matching using an asynchronous handshake based FSM.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards individual technical challenges and research-oriented tasks, which is common for a Data Scientist role. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit in a collaborative environment. The 'InsIIT' project, while personal, suggests some exposure to mobile application development, indicating a diverse interest. The candidate's experience level is listed as 0, but the projects show significant technical depth, suggesting a strong self-learner. The single listed experience at Carnegie Mellon University as a 'Data Scientist' starting in 2026 suggests a future role or an error in the data, making current professional experience difficult to assess.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are technical and do not offer insights into collaboration, problem-solving approach, or communication style.