Shaban Satti

Backend Engineer

https://talent.gravityer.com/shaban-satti

Arizona State University

Key Strengths

Experience with C++ and CMake, indicating foundational programming skills.
Participation in the ML4PhySim Competition suggests an interest in machine learning and problem-solving.
One listed experience as 'Backend Engineer' at Arizona State University, though details are sparse.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic or personal, focusing on C++ and Python. The 'Backend Engineer' role at Arizona State University aligns with the target role, but without further details on responsibilities or team collaboration, cultural fit is difficult to ascertain. The diversity of projects is limited to academic/personal coding challenges.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are minimal, and no psychometric or English test scores are provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Assessment-2

April 22, 2026 – Present

Assessment-2 — GitHub repository

View Project

lab-5-functions-shabansatti

March 29, 2026 – Present

lab-5-functions-shabansatti created by GitHub Classroom

View Project

b_section_repo

March 12, 2026 – Present

This is a test repo for B section.

View Project

first_library

March 3, 2026 – Present

This is first library repo.

View Project

test-repo

March 3, 2026 – Present

This is a repo

View Project

dummy_repo

March 2, 2026 – Present

This is a dummy repo

View Project

Lab2-Assessment

February 18, 2026 – Present

Lab2-Assessment — GitHub repository

View Project

Object-Oriented-Programming-CPP

February 11, 2026 – Present

This repository contains resource material for object oriented programming course.

View Project

vehicle-suspension-robust-control

January 17, 2025 – June 3, 2025

Robust control of 8 DOF active vehicle suspension system

View Project

HyPowerFlow

November 23, 2024 – April 29, 2025

HyPowerFlow is the winning solution to the ML4PhySim Competetion (https://www.codabench.org/competitions/2378/)

View Project

Key Strengths

Experience with C++ and CMake, indicating foundational programming skills.
Participation in the ML4PhySim Competition suggests an interest in machine learning and problem-solving.
One listed experience as 'Backend Engineer' at Arizona State University, though details are sparse.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are minimal, and no psychometric or English test scores are provided.

Shaban Satti

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit