Open to opportunities

Açucena Rodrigues

@aucenarodrigues

Message

Data scientist specializing in machine learning, deep learning, and NLP solutions.

Brazil

Message

What I'm looking for

I seek roles building production-ready ML/AI solutions (NLP, vision, time series) in collaborative, impact-driven teams with opportunities to innovate and scale models.

8+ years of work experience as a Data Scientist, AI/ML Engineer and Computer Vision Engineer:

- Work experience developing, training and deploying Machine Learning and Deep Learning models for both structured and unstructured data (scikit-learn, TensorFlow, Keras);
- Strong experience applying ML and DL techniques to structured datasets, including feature engineering, model optimization and evaluation (pandas, NumPy, scikit-learn);
- Work experience with Computer Vision solutions (OpenCV, TensorFlow, Keras);
- Hands-on experience working with Large Language Models (LLMs), including model integration and application development (Transformers, LangChain);
- Work experience in data analysis and exploratory data analysis (pandas, NumPy, Matplotlib, Seaborn);
- Solid experience in Python programming and modern ML frameworks;
- Work experience deploying AI/ML solutions in cloud environments, especially AWS;
- Experience working with end-to-end AI pipelines, from data preparation to model deployment and monitoring.
- Bachelor’s degree in Computer Science.

Self-driven and results-oriented, adept at rapidly adapting to challenges to deliver robust solutions. Intermediate English proficiency. Passionate about contributing to innovative projects that combine technology and real-world impact.

Certifications:
TensorFlow Developer Certificate
AWS Certified Cloud Practitioner

Experience

Work history, roles, and key accomplishments

Current

Founding AI Engineer

Current

Coflint OÜ

Mar 2025 - May 2026 (1 year 2 months)

Designed and built a B2C AI application using Python, OpenAI models, and AI agents.
Architected the full AWS serverless infrastructure: Lambda for compute, SQS for async job queuing,
DynamoDB for state management, and EventBridge for orchestration.
Owned all technical decisions end-to-end as the sole founding engineer, from product architecture to
production deployment.

Python AWS LLM Prompt Engineering Serverless

Current

Senior Data Scientist

Current

Compass UOL

Jun 2025 - Present (1 year)

Built a banking fraud detection system using Python, XGBoost, AWS, and LLMs.
Applied ML models with SHAP and AWS to analyze gut microbiome composition in Parkinson's disease
research reducing insight discovery time from years to actionable results.
Developed demand forecasting pipelines to help clients align production volumes with market demand.

Python PyTorch TensorFlow AWS Machine Learning Deep Learning data preprocessing Model Evaluation

Data Scientist

EvcomX

Dec 2024 - Apr 2025 (4 months)

Developed neural network models to predict ladle furnace temperatures in steel production, reducing material losses from under- and over-heating.
Built ML feature pipelines using PySpark and Databricks for large-scale industrial time series data Managed model lifecycle with MLflow: experiment tracking, versioning, evaluation benchmarks, and
retraining workflows.

Time Series Analysis Sensor Processing Python scikit learn Deep Learning Pyspark Databricks

Data Science Researcher

Senior Sistemas

Dec 2021 - Nov 2024 (2 years 11 months)

Developed a support chatbot significantly reducing simple support tickets handled by the team.
Built an NLP-based clustering model to group job roles and seniority levels, enabling a salary research product.
Developed an AI-powered analytics system to extract personalized actionable insights from client data.
Experimented with LLMs and SLMs using local deployments and commercial APIs.

NLP Python Model Evaluation Data Pipelines Generative Models scikit learn

Data Scientist

Rocketmat AI

Oct 2020 - Dec 2021 (1 year 2 months)

Developed an end-to-end ML pipeline to automate
candidate screening in ATS platforms — scoring and classifying candidate profiles at scale.
Built ML models to compare candidate profiles with high-performing employees, improving hiring quality for client companies.
Contributed to fairness and bias mitigation research improving model equity for underrepresented groups.

Predictive Analytics Clustering Python regression Classification SKLearn TensorFlow Pandas Matplotlib

Research Fellow

Federal University of Piauí

Jul 2018 - Aug 2020 (2 years 1 month)

Developed deep learning models (3D U-Net, V-Net) for automated cancerous lesion detection and
segmentation in chest CT scans, supporting faster and more accurate lung cancer diagnosis.
Trained ML models to identify and segment lesions in chest CT scans.
Authored scientific papers and contributed to scientific dissemination in medical imaging and cancer research.

Computer Vision CNN Keras OpenCV Python Tomography Analysis Image Processing

Education

Degrees, certifications, and relevant coursework

Federal University of Piauí

Bachelor's, Computer Science

2017 - 2021

Grade: 8

Activities and societies: Research fellow work on CNN-based medical image segmentation and tomography analysis.

Completed a Bachelor's degree in Computer Science from 2017 to 2021 with coursework and research in software, data processing, and applied machine learning.