Luis Felipe Freitas

AI Engineer

BairesDev

Nov 2023 - Current (1 year 8 months)

• Developed and optimized prompt-based pipelines for generating and validating dietary meal plans, ensuring adherence to strict user dietary requirements and preferences. • Designed modular, context-sensitive prompts that dynamically adjust outputs to reflect patient-specific health data, dietary restrictions, caloric goals, and ingredient preferences. • Created automated validation processes using structured XML prompt templates to verify output accuracy and reduce human oversight, achieving a 70% decrease in manual review requirements. • Conducted extensive testing scenarios (True Negative, False Positive, False Negative) to enhance model reliability, identifying common validation issues and refining prompt structures for higher accuracy.

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Senior Machine Learning Engineer

Open Access Ventures

Mar 2023 - Nov 2023 (9 months)

• Examined patterns on data extract from multiple API and perform analysis based on the business product. • Analysed the correlation of the data points and then generate a report to the investors to assistance the product definition. • Designed a model to detect and classify anomalies in cryptocurrency transactions. • Implemented machine learning models in a real-time inference endpoint (AWS). • Applied iforest model to find patterns on information and create a score based on that.

Course Instructor

Crehana

May 2022 - Nov 2022 (7 months)

- Development of teaching material - Machine Learning course instruction with a focus on supervised learning techniques - Business-focused artificial intelligence course with practical cases. Use of classification, neural networks and computer vision examples for business cases

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Digital accelerator coordinator

ANAC - Agência Nacional de Aviação Civil

Mar 2020 - Mar 2023 (3 years 1 month)

- Influence key business decisions to proactively optimize processes, projects and regulation necessities using data science/machine learning techniques - Trained object detection models to identify and distinguish similar objects in photos and videos (e.g. glasses and sunglasses) using Python, coordinated all the processes using over 10k real life images and achieved 78,11% mAP and 76,88% SaP - ML models end-to-end, from training to deploying. Research and development of NLP and Computer Vision models Partner with professionals of different areas of the organization to understand and optimize business processes using artificial intelligence. Applying supervised and unsupervised learning, computer vision and natural language processing in o

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Civil Aviation Regulation Technician

ANAC - Agência Nacional de Aviação Civil

Nov 2016 - Nov 2022 (6 years 1 month)

- Perform risk assessment routines in the IT department, identifying and evaluating hazard and then suggesting a mitigating strategy to be implemented by the technical team - Management of IT projects beginning to end. Understanding the needs of the business area and making sure it's aligned with the enterprise goals and providing an IT based solution to it - Provide AI/ML solutions to optimize business process models, audit databases that include images and create an innovative environment inside the areas •Analyzing data form(architecture), storage, transfer, and representation to improve performance for clients, users and business areas. •Collaborate and contribute with other engineers and senior managers to facilitate creation of busin

Luis Felipe Freitas

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Luis's behavioral traits
Luis's likely patterns of behavior, thought, values, and emotion. Based on the HEXACO model, OCP instrument, and Torre’s own research.