Renier Veiga

About Renier Veiga

As a lead AI/ML engineer at Federal Data Systems, I apply my passion for machine learning and computer science to solve complex problems for various clients and domains. I have over six years of experience in developing and deploying ML models using Python, TensorFlow, Scikit-Learn, Pandas, Numpy, and React. I have worked on and led projects involving time series analysis, image classification, NLP, and code analysis, using techniques such as LSTMs, gradient boosting, autoencoders, DNNs, CNNs, and transformers. Some of my notable achievements include participating in a four-year research to find ML models capable of determining price movement direction and magnitude, developing video transcript segmentation and video tagging to aid spacewalk training of NASA astronauts, and researching source code contextual understanding and code fault detection using DNNs and XGBoost. I also hold a machine learning engineering certificate from Springboard, an AWS certified cloud practitioner credential, and an A+ certification from CompTIA.

Experience

1. Lead Ai Ml Engineer Ai Sme Career Manager

   Booz Allen Hamilton

   Dec 2023 — Present · Melbourne, FL, US

Education

• Edison State Community College

  Associate's degree, Computer Programming

  2005 — 2010

• Springboard

  Machine Learning, Machine Learning Enginering

  2020 — 2020

• University of Florida

  Bachelor's degree, Computer Science

  2012 — 2014

Skills

• Java
• Eclipse
• C++
• Php
• Microsoft Sql Server
• Javascript
• Teamwork
• Portuguese
• Spanish
• Team Leadership
• Common Lisp
• Mysql
• Css
• Microsoft Office
• Html 5
• Matlab
• Basics of Unix
• Arduino
• Html
• Unix
• Linux
• Sql
• C
• Jsp
• Software Development
• Programming
• Databases
• Software Engineering
• Web Development
• Windows
• Agile Methodologies
• Jboss Application Server
• Javaserver Faces (Jsf)
• Angularjs