Summary
Overview
Work History
Education
Skills
Certification
Work Availability
Accomplishments
Languages
Timeline
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Luis De Melo

Luis De Melo

AI & ML Enginner & Data Scientist
Lippstadt

Summary

MSc in Mechatronic Systems with almost 5 years of experience in Research and development Engineering in the area of computer vision using Artificial Intelligence (Deep Learning and Machine Learning) algorithms.

Overview

9
9
years of professional experience
8
8
years of post-secondary education
3
3
Certifications
3
3
Languages

Work History

Research Assistant in Software Engineering

Hochschule Hamm-Lippstadt
03.2024 - Current
  • Implement jamming and spoofing nodes in Simu5G using C++
  • Assist in designing a synchronization module to align Simu5G and CARLA
  • Develop Machine/Deep Learning pipelines for object detection and classification using CARLA emulated sensor data
  • Manage experiments through MLFlow to train and evaluate models
  • Conduct mmWave (FR2) measurement campaigns in both indoor and outdoor environments to validate simulation, implementation of SLM models for NLP project
  • Technologies: C++, Python, NLP, Machine Learning, Deep Learning, CARLA, OMNeT++

R&D AI Engineer

Griaule
09.2020 - 02.2024
  • Research, implement, deploy and maintain of state of the art Machine Learning and Deep Learning algorithms for Image Processing and Computer Vision tasks and integrate those solutions in responsive C++ applications
  • Develop scalable training and validation pipelines (PyTorch, TensorFlow) for biometric vision tasks (Face recognition, Face Detection, Spoofing Detection)
  • Optimization of training pipelines with distributed processing frameworks (Torch Distributed, CUDA, NCCL, NVIDIA DALI)
  • Deployment and management of Vector Database (Milvus) to perform Approximate Nearest Neighbors (ANN) searches on GPU environments
  • Refactor intern libraries for maintainability using design patterns to support both Linux and Windows
  • Design CI/CD pipelines for core libraries and a CLI to streamline integration processes
  • Develop containerized API solutions to deliver results to web and mobile applications using Flask and fastAPI
  • Ranked 9th in the Investigation Category of NIST FRVT among over 1,400 algorithms, establishing a global reference for the company
  • Improved product performance by integrating new stack and optimizations (OpenVINO, ONNXRuntime, OpenCV), reducing memory consumption by 60% and latency by 27%

Software Engineer Researcher

Universidade de Brasilia
05.2018 - 10.2018
  • Development of image processing, computer vision, and machine learning algorithms for satellite image processing software
  • Responsibilities were to develop Image processing filters with multithreading and GUI (Qt5, GDAL) for Windows and also for pluvial metrics estimation on Google's Earth Engine
  • Technologies: C++ (CAFFE, Tensorflow, Keras), C#, Javascript

Engineer Intern

Brazilian Space Agency
07.2016 - 04.2017
  • Development of aerospace engineering prototypes for educational purposes
  • Tasks included 3D part modeling and fabrication using 3D FDM printers, Arduino circuit design and programming, development of realtime sensor data plotting, establish serial communication between the satellite's Arduino and Xbee amongst others
  • Technologies: Python (Tkinter, PySerial), C++, Solid Works

Education

Masters - Mechatronics Systems

Universidade de Brasília
08.2017 - 02.2020

Bachelor of Engineering - Mechatronics

Universidade de Brasília
08.2011 - 12.2016

Skills

Deep Learning

Certification

Astronomer Certification for Apache Airflow Fundamentals, 09/01/23

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Accomplishments

  • Achieved 9th place on NIST's FRVT 1:N competition through effectively helping with the development and training of top-notch face recognition deep learning pipelines.
  • Achieved latency and memory usage reduction by introducing a new stack of inference engines and embedding optimization algorithms.

Languages

English
Bilingual or Proficient (C2)
Portuguese
Bilingual or Proficient (C2)
German
Intermediate (B1)

Timeline

Research Assistant in Software Engineering

Hochschule Hamm-Lippstadt
03.2024 - Current

R&D AI Engineer

Griaule
09.2020 - 02.2024

Software Engineer Researcher

Universidade de Brasilia
05.2018 - 10.2018

Masters - Mechatronics Systems

Universidade de Brasília
08.2017 - 02.2020

Engineer Intern

Brazilian Space Agency
07.2016 - 04.2017

Bachelor of Engineering - Mechatronics

Universidade de Brasília
08.2011 - 12.2016
Luis De MeloAI & ML Enginner & Data Scientist