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Work Background
ESL FACEIT Group - EFGSenior Machine Learning Engineer
Jul. 2024
Defined.aiManager of Machine Learning
Feb. 2024 - Jul. 2024
Defined.aiExpert Machine Learning Enginneer
Nov. 2023 - May. 2024PortugalDevelopment of internal Tools: Batch Prediction Service for internal customers Using Flyte, Ray and Cuda
Further improvement of Inference Platform: Speed-up in inference time while reducing costs, increasing throughput 10x. Stack used Ray, FastAPI
Defined.aiSenior Machine Learning Engineer
Jun. 2022 - Nov. 2023Lisbon, Lisbon, Portugal- Maturity Assessment: Conducted comprehensive assessments of MLE and MLOps tools and processes
to optimize efficiency and reliability.
- Cutting-Edge ASR Research: Spearheaded research, implementation, and evaluation of State-of-the-
Art Automatic Speech Recognition (ASR) models, ensuring industry-leading performance.
- Question-Answering Agent Development: Successfully developed a Proof of Concept (PoC) utilizing Langchain, OpenAI embeddings, and Llama and Falcon frameworks to create a domain-specific QA agent over a vast document corpus.
- Model Fine-Tuning: Employed a supervised approach and Reinforcement Learning from Human
Feedback (RLHF) to fine-tune Language Models (LLMs) for enhanced accuracy and adaptability.
- Technical Debt Resolution: Investigated and addressed technical debt within APIs, enhancing overall
system robustness and maintainability.
- Logging and Monitoring Enhancement: Improved system monitoring and logging capabilities, ensuring real-time insights into service performance and model performance.
- Legacy Model Versioning: Implemented version control for legacy ASR models using MLFlow,
streamlining model management and deployment.
RDMachine Learning Engineering Tech Lead
Oct. 2021 - Jun. 2022- Technical Leadership: Providing visionary technical leadership to drive the development and
deployment of machine learning solutions.
- Team Coordination: Orchestrating and coordinating multidisciplinary teams of Data Scientists,
Engineers, and DevOps professionals to ensure seamless collaboration.
- MLOps Architecture: Designing and implementing robust MLOps architectures to optimize model
development, deployment, and monitoring.
- Scalability: Pioneering strategies to scale machine learning products, ensuring they can handle
increased workloads and data volumes.
Innovation: Encouraging a culture of innovation, experimentation, and continuous learning to stay at the forefront of AI technology.
- Problem Solving: Tackling complex technical challenges, from model optimization to system
architecture, to deliver solutions that exceed expectations.
- Mentorship: Nurturing talent through mentorship, fostering the growth of team members and
contributing to their professional development.
Strategic Planning: Developing long-term strategies for leveraging AI and machine learning to meet
business objectives.
RDMachine Learning Engineer
Nov. 2020 - Oct. 2021São Paulo, BrazilMy role as a liaison between Data Engineers, Data Scientists, and Architects has been pivotal in
achieving seamless cloud integration of machine learning products. Here are some key contributions:
- Cross-Functional Collaboration: Facilitated effective communication and collaboration between
Data Engineers, Data Scientists, and Architects to bridge the gap between data science and cloud
deployment.
- MLOps Architecture Design: Designed and implemented robust MLOps architecture within the AWS
datalake framework, optimizing scalability, performance, and security.
- Datapipeline Expertise: Architected, supported, and maintained critical data pipelines crucial for the
feature store, model training, and inference pipelines, ensuring data availability and reliability.
- Model Migration to the Cloud: Assisted Data Scientists in migrating their models to the cloud
environment, enabling them to leverage the full potential of cloud resources.
- Mindset Transformation: Spearheaded an initiative to shift the Data Scientists' mindset from local to
enterprise, fostering a culture of cloud-first thinking and enhancing efficiency in model development and deployment.
RDData Scientist
Jan. 2020 - Nov. 2020São Paulo Area, BrazilPoint-of-Contact for the customers record linkeage cloud application called VUC.
VUC enables the company to have customer's instead of the transaction view.
This allows the company to focus on the client experience and journey. Exclusive offers, customer segmentation and hypercustomization are enabled by this application.
Expertise with XGBoost, ElasticSearch, SQS.
BeegolData Scientist
Sep. 2019 - Jan. 2020São Paulo Area, BrazilData scientist creating machine learning products, developing solutions for retail.
Solving product recommendation and demand forecasting problems - Machine learning techniques used: XGBoost, LSTM, deep neural networks, cluster, sets;
- Data analysis using advanced statistical techniques;
- Creation and monitoring of KPIs and indicators;
- Software development with scalability and performance;
- Adaptation of state-of-the-art research for use in products;
- ETL development;
- Data visualization;
- Agile methodology in project development.
RDData Scientist
Jun. 2019 - Sep. 2019São Paulo Area, BrazilDeep Learning Computer Vision planogram compliance implementation
FreelanceConsultant
Oct. 2014São Paulo Area, BrazilWorked on 40+ cases over the last 5 years providing primary and secondary research and analysis for companies such Parthenon, EY and L.E.K. Consulting for their respective Global Educational Practise.
Sintel S.AAnalista de Suporte
Mar. 2012 - Oct. 2012São Paulo Area, Brazil
Application monitoring of in-house suite of products to support EDI between car manufacturers and its respective supply chain.
Ticket resolution via Service Desk
Remote support via VPN, Terminal Services, LogMe in, VNC, Cytrix
Direct contact with the costumer over phone/e-mail
IBMIT Specialist
Sep. 2010 - Aug. 2011HortolândiaIT Specialist for Sprint/Nextel @ IBM
Production support of more than 10 usiness critical applications.
Re-image, configuration, support and cycle 0 for both application and hardware level
Remote support for ground teams of technicians
Database queries and investigation
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