---
# System prepended metadata

title: Fernando Melo (English version

---

Fernando Melo (English version)
![](https://i.imgur.com/jobU0zn.jpg)

# Fernando Melo
![](https://i.imgur.com/UxF1ASG.jpg)

**Education:**
Master's degree in Data Science (Artificial Intelligence) ([Eastern University](https://www.eastern.edu/))
Data Science Specialization ([Johns Hopkins University](https://www.jhu.edu/))
Data Analytics Specialization (Universidade Católica de Brasília)
Bachelor's degree Business Administration (Universidade do Distrito Federal)
**Job Experience:**
CEO [Analytic Design](https://analyticdesign.com.br/)
CEO [Legal Brain](https://legalbrain.com.br/)
CEO [USCodes.ai](https://uscodes.ai/)
+35 years experience in computer technology.
Data Scientist experience (+8 years).
Data Analytics professional experience (DW, BI, AI: +25 years).
**Community:**
Founder and co-organizer capital's biggest AI community: [Machine Learning Brasília](https://www.meetup.com/pt-BR/machine-learning-brasilia/)
Organizer [Miami Data Science](https://www.meetup.com/miami-data-science-meetup/)

**[Nvidia Deep Learning Certified Instructor](https://www.nvidia.com/pt-br/training/)
[Nvidia Academy Ambassador](https://www.nvidia.com/pt-br/deep-learning-ai/education/#fourTabs)**

**Artificial Intelligence and Machine learning instructor:** 
- [The Federal Senate of Brazil](https://www12.senado.leg.br/institucional/estrutura/orgaosenado?codorgao=1377)
- [The Federal Court of Accounts (TCU)](https://portal.tcu.gov.br/instituto-serzedello-correa/)
- [The National School of Public Administration (ENAP)](https://www.enap.gov.br/pt/)
- [The Superior School of The Federal Public Prosecutor's Office (ESMPU)](https://escola.mpu.mp.br/).
- [NVIDIA Deep Learning Institute](https://www.nvidia.com/pt-br/deep-learning-ai/education/#fourTabs)
- [Fastai International Fellowship](https://forums.fast.ai/t/international-fellowship-2020-part-1/55743)

**Website :** https://bit.ly/FMelo_website
**Professional profiles:**
**LinkeIn :** https://www.linkedin.com/in/fernando-melo-a6909720/ 
**Twitter:** https://twitter.com/Fmelobr
**Lattes:** http://lattes.cnpq.br/6877810462008232
**E-mail:** flbmelo@gmail.com


---

**Courses Offered (instructors Fernando Melo and Erick Muzart):**

- Artificial Intelligence Course for Leaders
https://hackmd.io/l2QCv9KJQrG1m-m2TBHb4g
- Generative AI - ChatGPT
https://bit.ly/curso_IA_chatgpt
- Machine Learning Course in Projects
http://bit.ly/MLprojetos
- Fundamentals de Deep Learning - NVIDIA 
https://www.nvidia.com/en-us/training/instructor-led-workshops/fundamentals-of-deep-learning/

**Student's Projects dashboard of Machine Learning in Projects course (+120 projects)**
https://datastudio.google.com/s/gnMh6xSK614

**Co-founder of the Machine Learning Brasilia community (2,000 participants)**
https://www.meetup.com/pt-BR/Machine-Learning-Brasilia/

**Speeches:**
- Interview: ["The risk of manipulation in the 2024 electoral process Electoral" (Brazilian Federal Senate TV)](https://drive.google.com/file/d/1RCf1QVPejOIkfh6095-bsg_qSwn1Ij0M/view?usp=sharing)
- Applied Artificial Intelligence Seminar: AutoML and NLP
https://youtu.be/5f5J8ZFAN2o?t=8833
- 12th PyData BSB - ANEEL/ANP
https://youtu.be/qaoT-7okE0s?t=4262
- Fastai Deep Learning Course 2019 (youtube playlist)
https://youtube.com/playlist?list=PLBkQ2d3BHwmqgbosoaVk3LZYUcrMLYorM
- 11th EnGITEC - Artificial Intelligence in text processing
https://youtu.be/Lr3hQC2KKHk
- Vote Thought (BI Panel for selection of candidates in the 2022 elections)
Link to Voto Pensado dashboard: https://bit.ly/3dz0xIB
Explanatory video: https://youtu.be/SuSTi1TLycA
- LabTalks 40 - Artificial Intelligence in the Legislature: current and future possibilities
https://youtu.be/GiZV-nIEzvw?t=44
- CONIP interview
My company wants to deploy Artificial Intelligence. Where to start?
https://www.youtube.com/watch?v=E0jn4LeTAHs

**Courses (classes given):**
   See presentation of student's projects: https://datastudio.google.com/s/gnMh6xSK614
- Machine Learning in projects - TCU 2020 (August/2020).
- Machine Learning in projects - Enap 2020 (March/2020).
- Machine Learning in projects - Open Class (September/2020).
- Machine Learning in projects - Enap bootcamp1 (October/2020).
- Machine Learning in projects - Enap bootcamp2 (March/2021).
- Machine Learning in projects - ESMPU - Jun/2021 (June/2021).
- Artificial Intelligence for Managers (July/2021).
- Machine Learning in projects - Enap bootcamp3 (November/2021).
- Artificial Intelligence: [frontiers and uses for monitoring Public Policies](https://suap.enap.gov.br/portaldoaluno/curso/1282/) (July/2022).
- Fundamentals of Deep Learning NVIDIA at [Expojud 2022 Seminar](https://www.expojud.com/) (october 2022).
- Machine Learning in projects - TCU (mar/2023).
- Machine Learning in projects - ESMPU (mai/2023).
- Artificial Intelligence for Leaders - The Federal Senate of Brazil (aug/2023).
    This course had the support of the NASA astronaut and brazilian senator Astronauta Marcos Pontes. Here's the link to the sponsoring video he recorded: https://lnkd.in/d4ZZ4GBm 
    <img src="https://hackmd.io/_uploads/Hyz--HJ1T.jpg" width="160" height="190" />       <img src="https://hackmd.io/_uploads/SyfA4Bkyp.jpg" width="260" height="200" />




**Some of my Projects:**
- **USCodes AI Assistant** (www.uscodes.ai )
    AI-driven Legal Practice assistant using LLM’s, Multi-layer RAG, python, postgreSQL.
- **Legal Brain AI Assistant** (www.legalbrain.com.br )
    AI-driven Legal Practice assistant using LLM’s, Multi-layer RAG, python, postgreSQL.
- **Automatic Legislative Triage System:** the first Brazilian Federal Senate Artificial Intelligence application - Trained a deep learning Natural Language Processing (NLP) model for legislative text classification using ULMFiT (2018 state-of-the-art), probably the first language model in Portuguese. A research paper was also written by my team, offering detailed explanation for reproducible research purposes. 
- **Brazilian federal senators face recognition:** Trained a computer vision model (CNN)  computer vision model, using convolution neural networks , with a fantastic 99% accuracy.
- **Mentor and Leader of the Arquimedes System** - Business Intelligence Project (BI), main management information system, used until today at the Federal Senate.
- Human Resource System - involving payment data and functional history, enabled the integration of two isolated systems. The system also helped to build workflows for CRM to automate illegal expense investigations.
- System of consumption of organizational materials - Enabled the rational use of materials, reducing costs and controlling inventory.
- Health system and control of medical expenses in hospitals and clinics - When verifying the frightening increase in medical expenses of senators and staff members, the business intelligence system helped tracking KPIs and potential risks and fraud that could lead to financial debts.
- All these BI systems had Oracle DBMS and PL / SQL language were used for the ETL routine. Microstrategy , Qlikview and Qlik Sense were the business intelligence tools used for data discovery to explore and analyze present and past data in a practical way.

**Articles:**
- Artificial Intelligence will screen requests to the Legislative Consultancy of the Federal Senate.
https://medium.com/@flbmelo
- Facial recognition of senators
99% accuracy with Fastai v1 deep learning.
https://medium.com/deeplearningbrasilia/senators-facial-recognition-cfe801909058


**Scientific paper:**
- Application of AI in the classification of texts: the case of triage of
requests to the Legislative Consulting of the Brazilian Federal Senate
https://drive.google.com/file/d/15MRmvxgswCRLpjeGRtUaA5AJeaHBQOIT/view