Jeevan Prakash

Backend Engineer

https://talent.gravityer.com/jeevan-prakash

Bengaluru, Karnataka, IndiaMember since June 19, 2026

Key Strengths

Demonstrated interest in computer vision and machine learning through personal projects (Aruco_Tracker, detect_binod, dlib-python, Tensorflow-examples).
Experience with Python, C++, and Cuda, which are relevant for backend engineering roles, especially in performance-critical or ML-focused areas.
Exposure to Dockerfile indicates some understanding of containerization, a valuable skill for modern backend deployments.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards computer vision and machine learning, which could align with a backend role in a company focused on these areas. The diversity of projects, while mostly personal, indicates a proactive learning attitude. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

lml_test_repo

December 18, 2022 – December 19, 2022

lml_test_repo — GitHub repository

View Project

detect_binod

August 9, 2020 – August 9, 2020

detect_binod — GitHub repository

View Project

Tensorflow-examples

December 6, 2018 – December 6, 2018

Tensorflow-examples — GitHub repository

View Project

git-lfs

April 4, 2018 – April 4, 2018

git-lfs — GitHub repository

View Project

model

April 3, 2018 – April 3, 2018

model — GitHub repository

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SimpleCV_Python

March 30, 2018 – March 30, 2018

SimpleCV_Python — GitHub repository

View Project

dlib-cpp

March 10, 2018 – March 13, 2018

dlib-cpp — GitHub repository

View Project

dlib-python

March 10, 2018 – March 29, 2018

dlib-python — GitHub repository

View Project

Opencv_lib_rpi

February 22, 2018 – February 22, 2018

opencv libs build using ENABLE_NEON=ON BUILD_opencv_rgbd=OFF WITH_EIGEN=OFF

View Project

Aruco_Tracker

December 26, 2017 – December 29, 2022

Aruco Markers for pose estimation

View Project

Key Strengths

Demonstrated interest in computer vision and machine learning through personal projects (Aruco_Tracker, detect_binod, dlib-python, Tensorflow-examples).
Experience with Python, C++, and Cuda, which are relevant for backend engineering roles, especially in performance-critical or ML-focused areas.
Exposure to Dockerfile indicates some understanding of containerization, a valuable skill for modern backend deployments.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Jeevan Prakash

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit