Francinei Gomes

Contribute to Cocounsel's backend as a Senior Python Developer, designing scalable AI-driven services for legal research and drafting while improving NLP/LLM accuracy, trust, and enterprise-grade compliance.

Led R&D and production deployment of GenAI LLM+RAG products (Analytics Assistant, Q&A Assistant), implementing ETL, model fine-tuning, vector DBs and APIs to deliver secure, proprietary-source medical responses.

Developed algorithmic trading strategies for day and swing trading using statistics, signal processing and deep learning; implemented backtesting modules and data pipelines on Databricks.

Owned RevOps analytics and models, delivering churn prediction and marketing funnel optimization using GCP, BigQuery and Vertex AI to improve retention and go-to-market effectiveness.

Researched and developed conversational chatbot and NLP search solutions, integrating voice/text pipelines, cloud services and messaging platforms to automate B2B marketing workflows and natural-language queries.

Built end-to-end sales prediction models and productionized ML services (API, containerization, CI/CD) to support industrial automation use cases, improving forecasting reliability.

Developed analytics modules for Ainda platforms, implementing data collection, ETL and REST APIs using AWS Glue, Athena and Python to expose user behavior insights.

Developed signal-processing algorithms and LSTM predictive models for IIoT equipment failure detection, integrating OPC-UA/MQTT communications and edge/cloud ML deployments.

Worked on HPCC big data platform, earning ECL certification and conducting data analysis and system validation for scalable ETL and analytics workflows.

Activities and societies: Graduate coursework in Machine Learning, Deep Learning, Neuroscience, Signal Processing, Genetic Algorithms, and Dimensionality Reduction; doctoral thesis available online.

Ph.D. in Electrical Engineering focused on applying deep learning to spike sorting and proposing novel unsupervised neural network-based training algorithms that outperformed PCA and wavelet approaches.

Activities and societies: Graduate coursework in Pattern Recognition, Image Processing, Neural Networks, Fuzzy Logic, Algorithms, and Databases; thesis available online.

M.Sc. in Computer and Information Science with a thesis on facial recognition proposing new approaches and comparative studies on pattern recognition and image processing techniques.

Activities and societies: Undergraduate coursework in Signal Processing, Control Theory, Analog Electronics, Computer Architecture, Software Engineering, and Image Processing; final project available online.

Bachelor of Science in Electronics and Computer Engineering with a final project on monitoring fractional petroleum distillation using image processing techniques.