Gabriela Melo

Senior Software Engineer, Operational AI

Brex

Mar 2025 - Current (1 year 8 months)

- Partnered with CX and Systems stakeholders to design and deliver solutions that reduced cost-to-serve across CX operations, working closely with data teams to define success metrics and track impact. - Built an internal generative AI chatbot that improved CX specialist efficiency and accelerated customer case resolution. - Led the implementation of an external-facing generative AI chatbot, increasing case containment rates and guiding customers to faster self-service solutions. - Developed an AI-based automated system to detect complaints in customer communications, significantly improving recall.

Jan 2024 - Mar 2025 · 1 yr 3 mos

Brex

- Led and delivered multiple key projects as part of the ML platform migration to Sagemaker, including EMR adoption, a new Model Inference Pipeline service, Sagemaker V1 to V2 upgrade, and most notably the development of a new internal framework for streamlined usage of Sagemaker Pipelines for model training and deployment -- all with zero incidents and positive user feedback. - Took immediate ownership and execution responsibility upon joining Brex, driving ambiguous projects with multiple stakeholders to successful completion, from concept to a company-wide solution. - Became a company-wide Sagemaker expert, significantly improving platform utilization and developing innovative solutions like our Sagemaker Pipelines framework. - Proactive

Senior Machine Learning Engineer

Belvo

Sep 2022 - Dec 2023 (1 year 4 months)

- structured a ground truth dataset generation pipeline, which allowed for the measurement of the system's performance - designed and implemented new product features while also maintaining and evolving existing ones - constantly spread knowledge between team members about tools, technology topics, and the team's systems, through presentations and one-on-one mentoring sessions - participated actively in roadmap planning and prioritization for the team's projects and initiatives - continuously took a critical look at team processes to propose improvements to them - worked with Python, Pandas, PySpark, Django, Datadog, Sentry, AWS (ECS, S3, EMR Studio), Airflow, PostgreSQL, Redshift, Label Studio

ML Platform Tech Lead

Legiti

Oct 2021 - Sep 2022 (1 year)

- led the team's engineers in setting the goals, metrics, and roadmap for the ML platform, keeping the team focused on the most important projects - was responsible for bringing alignment between my team and other teams and between my team and the company's objectives, by communicating with PMs and TLs in other teams and with stakeholders - was responsible for the team's process, from daily rituals to organizing on-call procedures, maintaining an organized and productive work environment inside the team - defined headcount needs and grew the team by hiring, to allow for new projects to be developed - led and delivered projects for seamlessly migrating services, to propel architectural evolutions - implemented service improvements like featu

Machine Learning Mentor

Awari

May 2021 - Aug 2021 (4 months)

Worked as a mentor for Machine Learning students at Awari. The mentorship was focused on answering questions related to the ML industry and to technical concepts of the course and giving feedback about the student's course project.

Platform Tech Lead

Legiti

Apr 2021 - Sep 2021 (6 months)

- was the company's first tech lead, structuring what this role would be like at the company - partnered with the team's PM and EM structuring the team's processes (that would later serve as the basis for the teams that would spin off the initial Platform Team) - defined roadmap and prioritization for the team - helped design the engineering organization teams structure in preparation for the company's growth - worked on architectural evolutions for model serving-related services

Machine Learning Engineer

Legiti

Jul 2019 - Apr 2021 (1 year 10 months)

- was a member of the founding team - built the engineering systems from the ground up, including the monitoring and observability structure for them - took part in structural technical decisions and definition of engineering tooling and processes - developed the online ML model serving system (the main piece of the company's services) - from feature computation code to the service's infrastructure - worked in building the company's custom Feature Store, from design docs to production deployment, which dropped prediction latency by over 75% - tracked and prioritized allocation of technical improvement tasks, providing a balance between new feature implementation and management of technical debt - worked with Python, Flask, FastAPI, Pandas,

Research and Technological Innovation Analyst

Scopus Soluções em TI

Feb 2018 - Jun 2019 (1 year 5 months)

- developed the organization's first data science and machine learning projects, which involved both tabular and textual data, and showcased how these technology's could be used throughout the company - presented the result of projects to executive teams - wrote technical reports on the projects - used the Python stack for data science (Scikit learn, Pandas, Numpy, Keras and TensorFlow)

Back End Intern

Loggi

Aug 2017 - Dec 2017 (5 months)

- integrated new customers into the e-commerce delivery system, helping expand the company's customer base - developed features for the e-commerce delivery back-end systems - worked with Docker-contained microservices running with Django and Flask frameworks

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Application Development Intern

AppSimples

Sep 2016 - Jul 2017 (11 months)

- developed applications on front and back-ends, from code structuring phase until delivery of the application to the customer - worked in the agile methodology and actively participated in the planning of tasks and sprints - coded in JavaScript, with the usage of React, AngularJS, Node.js and MongoDB

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Gabriela Melo

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