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Computer Vision Engineer
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NewSpace Research and Technologies
Backend Engineer
June 16, 2026 – Present
PCL_Visualiser
November 18, 2020 – November 19, 2020
subscribes to sensor_msgs::PointCloud2 / sensor_msgs::PointCloud topics to generate 3D visualisation of point cloud.
View ProjectObstacleMap_ROS
October 27, 2020 – November 26, 2021
ROS Node which subscribes to stereo pair of raw images and constructs a disparity map
View ProjectFrozen-Graph-Inference-MaskRCNN
January 9, 2020 – January 9, 2020
Semantic Segmentation [MaskRCNN] using Frozen graph for inference . The repository contains code to freeze a TensorFlow .h5 model [.h5 to .pb] and inference using the frozen model.
View ProjectMiniFlow
January 4, 2020 – January 4, 2020
A mini version of TensorFlow implemented using Numpy and trained and tested on boston House dataset.
View ProjectUnscented-Kalman-FIlter--Car-ND
December 18, 2019 – January 6, 2020
My implementation of Unscented Kalman Filter along with consistency check using NIS.
View ProjectReal-Time-Human-Activity-Recognition-stacked-LSTMs-OpenPose
July 19, 2019 – August 28, 2019
This project is based on work done by felixchenfy ( Real Time Action Recognition ) and stuarteiffert ( RNN for Real Time Action recognition using 2D pose input) . The Real time interface that is created by the former creator is combined with the classification architecture (stacked LSTMs) done by latter creator.
View ProjectAMC_PES
September 15, 2018 – November 27, 2021
Automatic modulation classification using Expert features and Neural Networks
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on machine learning, computer vision, and robotics, primarily using Python and C++. While these are technically demanding fields, the diversity of projects outside of this niche is limited. The current role as 'Backend Engineer' aligns with the target role, but the specific responsibilities and team environment are unknown. The candidate's experience level is listed as 0, which contradicts the current employment, suggesting a potential data discrepancy or a very recent entry into the professional field. This narrow focus and potential experience discrepancy suggest a moderate cultural fit, as broader backend engineering skills and team collaboration experience are not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.