Help & Supportcareers@gravityer.com
Edge AI Engineer | Gamer | Nerd | Traveler | Foodie | Full Stack ML Enthusiast | GPU Computing Nomad
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deloitte
Data Scientist
June 20, 2026 – Present
light-cube-matrix
September 10, 2022 – September 10, 2022
LightCube Matrix Generator created with Nvidia Omniverse Code
View ProjectNvidia-Docker-Notes
February 24, 2022 – March 8, 2022
To assist with important docker commands exclusive to Nvidia dockers and some important pointers
View ProjectDockerize-Flask-ML-Web-App-v2
September 24, 2021 – September 24, 2021
Repo dedicated to building a Flask ML Web App Docker Image
View ProjectPyTorch-For-Kiiti-Object-Detection
May 20, 2021 – October 25, 2021
Repository dedicated to leveraging PyTorch for training an object detection model with the KITTI Dataset
View ProjectConvert-One-Handwritten-Digit-To-Another-With-CycleGAN
May 6, 2021 – May 6, 2021
An experiemnt to convert '4' (handwritten digit) to 9 using CycleGAN
View ProjectGenerate-Handwritten-Digits-WIth-DCGAN
May 6, 2021 – May 6, 2021
To create and visualize handwritten digits in the form of an animation, generated by Deep Convolutional Generative Adversarial Network (DCGAN)
View ProjectBrain-MRI-Style-Transfer-With-GAN
April 29, 2021 – November 8, 2022
A capstone project dedicated to leveraging Style GAN (Generative Adversarial Network) to generate Brain MRI images of different contrasts
View ProjectDeploy-ML-Model-In-Docker
March 14, 2021 – March 14, 2021
How to deploy a gesture recognition model application in a docker
View ProjectDeepStream-Metadata-Visualization
January 7, 2021 – March 22, 2021
A Project to Visualize DeepStream Inference Metadata with Kibana
View ProjectGesture-Recognition-For-Smart-TV
January 4, 2021 – January 4, 2021
A project dedicated to train and deploy gesture recognition models for Smart TV.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in deep learning, computer vision, and MLOps, which aligns well with a data scientist role. The diversity of personal projects suggests a proactive and self-driven individual. However, the lack of team-based projects or contributions makes it difficult to assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but no direct communication or collaboration examples are provided. The psychometric test score is 0, indicating no data.