Lucas Casagrande
Embedded Systems EngineerSr. SDE Edge AI/ML at Amazon
Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sr. SDE Edge AI/ML at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amazon
Embedded Systems Engineer
June 26, 2026 – Present
DiskSim
March 26, 2020 – March 27, 2020
This repository contains the DiskSim 4.0 storage subsystem simulator.
View ProjectHashtag-Monitor
December 15, 2019 – September 22, 2021
A dashboard to monitor hashtags on Twitter.
View Projectbatsim-py
October 10, 2019 – August 23, 2022
Batsim is a scientific simulator commonly used to evaluate Resource and Job Management System (RJMS) policies. Batsim-py allows using Batsim from Python 3.
View ProjectGridGym
November 26, 2018 – June 22, 2022
An OpenAI Gym environment for resource and job management problems.
View ProjectDeepShutdown
August 19, 2018 – August 31, 2020
Scheduling Servers Shutdown in Grid Computing with Deep Reinforcement Learning.
View ProjectTSP-GA
July 20, 2018 – February 10, 2023
A Genetic Algorithm in Python for the Travelling Salesman Problem
View ProjectDeep-Knowledge-Tracing
February 14, 2018 – December 4, 2020
An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0
View ProjectAutomatic-StewartPlatform
October 21, 2015 – October 2, 2020
A project to automatically control a Stewart Platform using an IMU sensor, an Arduino and a library in C++ to perform all the Stewart control calculations.
View ProjectSMART-Energy
March 27, 2015 – December 29, 2015
This is a project to control the consumption and automate the management of electrical energy.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal projects, indicating a strong self-starter and passion for technology. However, the diversity of projects leans heavily towards academic/research-oriented Python projects (AI, algorithms, simulations) with fewer direct, complex embedded systems applications. While there are relevant embedded projects, the overall breadth of experience outside of personal projects is limited, and there's only one current professional role listed with no details on responsibilities or achievements. This suggests a potential fit for a research-heavy embedded role, but a broader cultural fit for a typical product-focused embedded team might require further assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approaches, or communication style in a team setting. No psychometric or English test results are available.