Gustavo Lima

Gustavo Lima Email and Phone Number

Software Engineer | Machine Learning Engineer | LLM @ Sixfold
Gustavo Lima's Location
Federal District, Brazil, Brazil
About Gustavo Lima

Software Engineer with over ten years of experience specializing in AI and Machine Learning.I have a strong background in developing and implementing ML solutions across diverse domains, including computer networks, satellite computer vision, fraud detection, face recognition, liveness detection, and NLP for restaurant ordering systems.Computer Networks: Developed machine learning methods for detecting intrusions and attacks, enhancing network security.Satellite Computer Vision: Implemented image processing algorithms for satellite data, contributing to advancements in geospatial analysis.Fraud Detection: Designed models to identify fraudulent activities, significantly reducing financial losses.Face Recognition and Liveness Detection: Created and deployed facial recognition systems, improving security and authentication processes, and saving money from operational costs.Natural Language Processing (NLP): Developed NLP models for intent and named entity recognition, optimizing restaurant ordering systems.My undergraduate thesis focused on researching and comparing clustering methods, demonstrating my early commitment to advancing the field of machine learning. Thesis in PT: https://goo.gl/VveIpE

Gustavo Lima's Current Company Details
Sixfold

Sixfold

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Software Engineer | Machine Learning Engineer | LLM
Gustavo Lima Work Experience Details
  • Sixfold
    Ai Engineer
    Sixfold Aug 2024 - Present
    New York, New York, United States
    AI Software Engineer
  • Kea
    Machine Learning Engineer
    Kea Nov 2020 - Sep 2024
    California, Usa (Remote)
    As a Machine Learning engineer, I create systems with a focus on synthetic datageneration, model training, evaluation tools, and model deployment. I work to acceleratedevelopment and enable scientific, data-driven decision-making within the organization.• Synthetic Data Generation: Menu data pipelines for frequent menu updates.• Natural Language Processing (NLP):Intent Recognition and Named EntityRecognition (NER).• Machine Learning System Design: Dataset sampling mechanisms from multiplesources, along with training and validation scripts.• Evaluation: Performance evaluation reports for model comparison.• Modeling: BERT-based deep neural network model from an academic paperusing PyTorch.• Inference: High-quality Python services with Flask for multi-model inference.• Generative AI: Large Language Model (LLM) prompting for behavior outputvalidation.
  • Holonic
    Machine Learning Engineer
    Holonic Nov 2020 - Jun 2022
    Silicon Valley, Us (Remote)
    As a Machine Learning Engineer my job involves creation and integration of ML models into the FE and BE stack. I use node and python to build.
  • Stefanini
    Artificial Intelligence Engineer
    Stefanini Aug 2018 - Dec 2020
    Brasília, Brazil
    Initiated and coordinated image and video processing projects for cognitive applications as apioneering AI engineer in the Computer Vision department at the Bank of Brazil.• Optical Character Recognition (OCR): Implemented OCR solutions to automatedata entry processes and improve operational efficiency. This work enabled initiatives for newproducts on digital channels.• Face Recognition: Designed and deployed facial recognition systems for enhanced securityand user authentication. This work highly increased efficiency for opening digital accounts aswell as saved over 500k USD monthly from operational costs.• Video Analysis: Conducted research and development on video processing algorithms forapplications, including surveillance and content analysis. Validated inference of those modelson small edge devices.• Liveness Detection: Innovated solutions to distinguish between real users and spoofingattempts in biometric systems.
  • Institute Of Applied Economics Research
    Full Stack Dev
    Institute Of Applied Economics Research Aug 2017 - Sep 2018
    Brasília, Brazil
    Designed and developed new technologies across the stack, from database and backend APIsto front-end SPA technologies. The product was a website with temporal series managed bythe Brazilian government for public use.• Stack Technologies: JS, Riot.js, OData, C#, SQL Server, Python.
  • Eduqc
    Software Engineer
    Eduqc Apr 2018 - Aug 2018
    Brasília Area, Brazil
    Acted as a software engineer, encompassing backend to frontend development, and performedrelevant data analysis. Served as a technical leader, facilitating team management andplanning within an agile framework.• System Design: Led the design and architecture of software systems, ensuringseamless integration between backend (Python) and frontend (Vue) components. Conductedcomprehensive data analysis (Pandas) to inform design decisions and optimize systemperformance.• Technical Leadership: Acted as a liaison between developers and management, ensuringclear communication and alignment of technical and business objectives.• Team Collaboration: Facilitated cross-functional collaboration to enhance productivity andfoster a cohesive team environment.
  • Sicoob
    Java Ee Dev
    Sicoob Dec 2016 - Jul 2017
    Brasília, Brazil
    Operated as a Java EE developer on financial applications using JBoss, Object-Oriented (OO)principles, and design patterns. Acquired valuable insights into the Brazilian financial system.
  • University Of Brasília
    C++ Dev
    University Of Brasília Sep 2016 - Feb 2017
    Brasília, Brazil
    Implemented a system designed to consolidate a wide range of image-processing algorithms,focusing on satellite image processing. Created methods using OpenCV and the Shogunlibrary.
  • University Of Brasília
    Developer/Researcher
    University Of Brasília Aug 2014 - Dec 2016
    Brasília, Brazil
    Drove the research and development of machine learning methods for detecting intrusionsand attacks in computer networks. Mentored junior developers and contributed to thedevelopment of the attack detection system.• Team Leadership and Mentorship: Facilitated junior developers in the development of amachine learning-based intrusion detection system.• Attack Detection System Development: Enhanced Snort Intrusion Detection System (IDS)on zero-day analysis by clustering IDS data and analyzing for similar behaviors.• Baseline Denial Of Service Detection: Analyzed network behavior at the OS level toestablish a baseline for normal activity. Constructed algorithms to detect deviations from thisbaseline, identifying potential attacks. Tools: Snort, C++, Kernel bypass, linux, SVM.
  • University Of Brasília
    System Architect
    University Of Brasília Aug 2014 - Feb 2015
    Brasília, Brazil
    Deployed and maintained the open-source project "GestorPsi" for the psychology departmentat the University of Brasília.
  • Radar Parlamentar
    Python Django Dev
    Radar Parlamentar Jan 2012 - Jan 2013
    Brasília, Brazil
    Influenced the open-source project "Radar Parlamentar," which aims to provide transparencyand insights into parliamentary activities.(http://radarparlamentar.polignu.org/)
  • University Of Brasília
    Android Dev
    University Of Brasília 2012 - 2013
    Brasília, Brazil
    Development of the "GuiaTV" app for Positivo Informatics.
  • University Of Brasília
    Java Web Dev
    University Of Brasília Aug 2011 - Feb 2012
    Brasília, Brazil
    Scientific Initiation Project. Maintenance of the Learning Support System (SAE), for the Catholic University of Brasília.

Gustavo Lima Education Details

Frequently Asked Questions about Gustavo Lima

What company does Gustavo Lima work for?

Gustavo Lima works for Sixfold

What is Gustavo Lima's role at the current company?

Gustavo Lima's current role is Software Engineer | Machine Learning Engineer | LLM.

What schools did Gustavo Lima attend?

Gustavo Lima attended Universidade De Brasília, Instituto De Gestão E Tecnologia Da Informação, Unsw Australia.

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