- Created a code assistant LLM that a won a national and an international hackathon and later led the implementation of the model as a PoC project in the company. + Guided UX development to facilitate bitcoiners interaction with the assistant allowing bitcoiners to create smart contracts without any previous knowledge achieving 90% accuracy. + Led the CTO and a Data scientist to gather data, and compiled examples used to test, evaluate and train the model. - Created a bitcoin-biased general knowledge model that could explore the blockchain using CustomGPT allowing to write prompts, removing the unwanted bias of the mainstream model. It became the most used Bitcoin model in OpenAI custom GPTs.- Created a bitcoin-biased general knowledge model with open source foundational models and published it in HuggingFace. + Worked on generating synthetic data for DPO, prompt engineering, prompt pipeline and evaluation to improve and train the company’s main model. + Fine-tuned open-source LLMs using LoRA and PyTorch.

- Data driven strategic business insight- Product Management strategy

- Supported the change in the pricing strategy of the main product of Latin America's largest cryptocurrency and digital asset platform with non-parametric stratified hypothesis testing using SQL and Python. Increasing revenue of R$12 million/year, in addition to the CPO's adherence to DS projects and strengthening the customer's internal data culture;- Uncovered a competitor's fraud that redefined competitiveness benchmark of top market players, with liquidity comparative analysis using SQL and Tableau, redirecting C-level priorities based on a now more realistic benchmark and relieving stakeholders;- Influenced the company and specialized community through educational work, technical dissemination, and promotion of the company's brand, serving as a speaker, columnist, and translator;- Predicted the fall of Bitcoin in the FTX crisis using a model based on options theory written in Python with public API information.- Received the first Excellence Award as an outstanding member of the company's Crypto-expert group.

Developed quantitative trading strategies on stocks and options using different time series analyses, filters, extreme value theory, and long tail distribution statistics in Python, focusing on long volatility.

Led a team of copywriters, collaborating with the country’s top three brokerage firms, crafting highly specialized content in finance and cryptocurrencies.

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I unveiled the new Basel III regulations for implementation.

During my career, I have worked in: - Political and macroeconomic analysis; - Clients asset allocation; - Preparation of reports and explanatory / educational materials for clients and commercial staff; - Fundamentalist analysis of companies. I had my opinions published by journalists from major national and international companies like Correio Braziliense, RadioWeb, Zero Hora, Pulso (Chile), among others.

Assess ABERT in terms of telecommunications technical norms and regulations, focused in broadcasting.Coordinate public-private relationship.Create and coordinate Task Groups made of engineers and technicians of Brazil's most important broadcasting companies to study and create consensus about a wide range of themes regarding to Brazilian broadcasting such as:-The definition of a digital radio standard for Brazil;-Migration of the AM broadcasters to FM;-Loudness in TV and Radio;-SARC;-Analog TV turn off;-Radio and TV in Smartphones;-TV accessibility;Among others.

Since highschool I teach various branches of mathematics and physics to highschool students and, as soon as I were a college student, I started teaching also calculus and a higher level of physics to university students.

Python programmer working on the first centralized governmental inventory using the non relational database Lightbase.

Help the Mathematics highschool teacher to answer student questions about math.