Shubham Shukla
Autonomy EngineerAutonomy Engineer | AI - Robotics
EarthSense
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Autonomy Engineer | AI - Robotics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
EarthSense
Autonomy Engineer
June 14, 2026 – Present
charlie6echo.github.io
April 7, 2021 – April 7, 2021
charlie6echo.github.io — GitHub repository
View ProjectVBDLDSCC
April 3, 2021 – July 28, 2021
Vision Based Document Layout Detection, Segmentation and context classification using MaskRCNN on Tensorflow-Keras, PyTorch & Detectron2.
View ProjectHighway-crash-detection-and-risk-estimation
April 3, 2021 – April 7, 2021
Highway-crash-detection-and-risk-estimation — GitHub repository
View ProjectCS231n
September 3, 2020 – May 13, 2021
Stanford University's Famous computer Vision course 'CS231n' Assignments and codes.
View ProjectAI-Tool-SocialDistancing
August 19, 2020 – April 3, 2021
AI Tool for Social Distancing - Master's University Project
View ProjectUGV-Survillance
August 19, 2020 – August 19, 2020
Face Recognition and Objects Detection using UGV - Bachelor's University Projects.
View ProjectML-SuperDataScience
July 4, 2020 – July 11, 2020
Machine Learning from Scratch Codes and tuts.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on individual technical projects, primarily in computer vision and machine learning. While this demonstrates initiative and technical depth, there is limited evidence of collaborative work or diverse project types beyond academic/personal ML/CV applications. The current role as 'Autonomy Engineer' at EarthSense aligns well with the target role, but without further details on responsibilities or team dynamics, cultural fit remains largely unassessed.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. Project descriptions are brief, and there are no psychometric or English test results to draw conclusions from.