Fernando H.
Principal Engineer

Skills

Node.js

Next.js

Typescript

Javascript

React

Fernando is available for hire

Hire Fernando H.

All Howdy Candidates are vetted for skills and english proficiency.

Bio

Passionate about the intersection of arts and technology, strengths lie in efficiently identifying solutions and developing tools for customer needs. Holding an engineering degree and a master's degree in the nuclear field from UFRJ, experience spans web development and machine learning, blending creative arts with technological innovation. This unique approach aims to foster a more human and conscious imprint on the world.

Despite a professional focus on technology, a steadfast commitment to art and painting remains, serving as a constant reminder of the creative essence that drives and motivates.

Frontend developer
8/1/2022 - Present

Developed e-commerce experiences utilizing Next.js and TypeScript, seamlessly integrating with a CommerceTools backend.
Nuclear Engineer/Software Developer
11/1/2020 - 11/1/2022

Developed expertise as a Nuclear Engineer with a specialization in data science and machine learning, focusing on neural network development for energy generation projects, particularly in nuclear energy. Gained proficiency in developing software for control and monitoring systems related to energy generation. Employed advanced methodologies to enhance the efficiency and reliability of nuclear energy projects. Utilized a blend of technical skills and analytical strategies to innovate and optimize control systems, ensuring the seamless integration of machine learning algorithms to improve performance and safety standards in the sector. Demonstrated strong capabilities in leveraging computational tools and frameworks essential for the advancement of nuclear energy solutions.
Nuclear Engineer
3/1/2020 - 10/1/2020

Developed expertise in data science and machine learning, with a specialization in neural networks. Applied this knowledge to engineering projects in the energy generation sector, particularly focusing on nuclear energy. Demonstrated proficiency in neural network development and leveraging advanced machine learning algorithms to optimize energy systems. Utilized statistical analysis, predictive modeling, and data-driven decision-making to enhance the efficiency and safety of nuclear energy projects. Contributed to the integration of cutting-edge technologies and innovative methodologies within the energy sector.
Nuclear Engineer
10/1/2019 - 2/1/2020

Developed a simulation model for radiation values in nuclear power plants, leveraging advanced data analysis techniques and the particle swarm optimization (PSO) algorithm to enhance the accuracy and efficiency of the simulation solutions. This technical project culminated in the successful completion of a final paper, contributing to the attainment of a degree in nuclear engineering.
Undergraduate Research Project
5/1/2018 - 8/1/2019

Developed models for predicting calcium carbonate encrustation in heat exchanger pipes, focusing on anticipating maintenance needs before equipment failure. Acquired in-depth knowledge of heat exchange processes and encrustation mechanisms. Enhanced programming expertise and applied advanced statistical and machine learning techniques to improve model accuracy. Utilized tools such as Python, MATLAB, and R for data analysis and model development. Employed simulation software for validating predictions and optimizing maintenance schedules. Strengthened abilities in data collection, model validation, and performance monitoring to ensure reliable and efficient predictive maintenance solutions.