Ara Esfarjani

Embedded Systems Engineer

https://talent.gravityer.com/ara-esfarjani

University of Southern California

Key Strengths

Demonstrated interest in embedded systems and low-level programming through projects like 'paged-attention' (CUDA, C++) and 'Ara_Esfarjani_FRQ2' (C++, Assembly).
Experience with CUDA for GPU acceleration, relevant for performance-critical embedded applications.
Exposure to various programming languages including C++, Python, and Assembly, which are foundational for embedded development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards technical challenges, particularly in machine learning and low-level optimization. The 'Embedded Systems Engineer' role at the University of Southern California aligns directly with the target role, suggesting a focused career interest. However, the projects are predominantly personal, and there's limited information on collaborative efforts or team-based work, which are crucial for cultural fit in many organizations.

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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Projects

ml_work

April 22, 2026 – Present

just some ml stuff i've implemented

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ee250_project

April 21, 2026 – Present

final project for ee250

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paged-attention

April 14, 2026 – Present

CUDA implementation of PagedAttention and Flash Decode

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lol_aicoach

March 18, 2026 – Present

the premier ai league of legends assistant

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Ara_Esfarjani_FRQ2

March 16, 2026 – Present

Ara_Esfarjani_FRQ2 — GitHub repository

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lava_demo

January 30, 2026 – Present

lava_demo — GitHub repository

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cudafileio

January 9, 2026 – Present

cudafileio — GitHub repository

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cudaaccel_linreg

December 20, 2025 – December 22, 2025

cuda proj accelerating logistic regression

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personalwebsite

December 12, 2025 – December 13, 2025

my website

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TumorVision

September 24, 2024 – September 10, 2025

TumorVision is able to detect Glioblastomas in Human MRI scans via CNN in PyTorch. In this project, I train/optimize using a Convolutional Neural Network for image classification. This machine learning model is currently supervised.

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Key Strengths

Demonstrated interest in embedded systems and low-level programming through projects like 'paged-attention' (CUDA, C++) and 'Ara_Esfarjani_FRQ2' (C++, Assembly).
Experience with CUDA for GPU acceleration, relevant for performance-critical embedded applications.
Exposure to various programming languages including C++, Python, and Assembly, which are foundational for embedded development.

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.

Ara Esfarjani

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit