As a software engineer, I specialize in the development of web applications that support consulting services in Distributed Ledger Technology (DLT) and Blockchain solutions. My role encompasses full-stack development, leveraging technologies such as Go, MongoDB, ReactJS, NextJS, TypeScript, and D3.js to construct both backend and frontend components. Collaboration with other developers and clients is integral to my work to ensure the delivery of high-quality and functional products.

With over six years of experience in software engineering, my expertise lies particularly in complex API services. My technical repertoire includes C# .NET, Golang, JavaScript, and C++. My experience extends to monitoring tools like Kibana and Grafana, and I have utilized GitHub Actions for streamlined deployment to GCP applications. My database management proficiency covers MongoDB and Postgres.

Previous projects have seen me engage with React, TypeScript, JavaScript, and NodeJS. I have also conducted research and development in technological initiatives, such as designing a data control system for IoT devices.

I hold a bachelor's degree in computer engineering, during which I developed projects combining hardware and software, specifically working with Arduino processors. 

Driven by a passion for learning and applying new technologies to address real-world challenges, I continuously seek opportunities to enhance my skills and broaden my knowledge. I am committed to teamwork, innovation, and maintaining high standards of quality in all my endeavors.

Advanced specialist in Python with extensive expertise in backend development and robotic process automation (RPA) using Selenium, complemented by proficiency in JavaScript, including TypeScript, for frontend development. The skill set includes HTML, CSS, and Java. Demonstrates technical innovation through an in-depth understanding of Odoo core, with a proven ability to customize modules, create tailored reports, and implement new features, ensuring comprehensive mastery of its internal architecture. In both integration and frontend development, proficient in technologies such as React, React Native, NodeJS, and Vue.js for building comprehensive solutions. Skilled in code versioning using Git, GitHub, and GitLab, and adept at applying agile methodologies to deliver results within deadlines.

Pursuing a degree in Computer Engineering with an anticipated graduation date of December 2021.

Experienced Data Analyst with a record of success in Martech, Product Analytics, Customer Analytics, and Data Product Development. Demonstrated ability to deliver high-quality data solutions within both startup environments and established enterprises in LATAM and Europe. Proficient in the Python ecosystem, including FastAPI, Pandas, seaborn, flask, streamlit, Matplotlib, Scikit-learn, and Keras. Adept at developing data products using cloud technologies such as Azure Data Factory, AWS Redshift & Glue, and GCP Dataproc & Big Query. Skilled in data orchestration and transformations with tools like DBT, Great Expectations, and Apache Airflow, alongside experience in CI/CD environments with GitHub, GitLab, Confluence, and Jira. 

Proven expertise in programming, refactoring, and debugging. Experienced in working remotely within agile teams, possessing a proactive attitude and strong teamwork capabilities. Dedicated to designing data products that are high in quality, scalable, and impactful. Self-taught and curious, with a history of contributing to the transformation and growth of startups while generating value in larger companies.

An avid long-range cyclist, exploring the synergy between technology and cycling, and a gaming enthusiast, particularly interested in immersive gaming experiences.

A technology enthusiast with a relentless focus on achieving success.

Seasoned Software Engineer with a focus on development through adherence to best programming practices and a strong emphasis on employing monitoring and performance indicators.

A highly qualified Software Engineer with extensive experience in software development and system architecture. Holds expertise in programming, software design, and project management utilizing agile development methodologies to create innovative solutions tailored to client requirements.

Possesses a broad and deep knowledge of various technologies, including programming languages such as Python, Typescript (JS), and C, as well as frameworks including React, React Native, Express, and Node.js. Maintains the ability to collaborate effectively with developers, engineers, and other professionals across different fields to meet project goals.

Demonstrates a commitment to continuous learning and adaptation to new technologies and industry trends. Professional background includes experience in CRM startups and software houses in England, providing services to clients in the United States and England. Initiated the Ear open-source project, which supports hearing-impaired individuals in accessing internet content.

Software Developer dedicated to utilizing technology for societal benefit, with a focus on enhancing user experiences and creating tools that improve quality of life. Experienced in software development within the biotechnology, pharmaceutical, and toxicology industries, with over three years of involvement in significant projects. Proficient in modern technologies such as React, Angular, TypeScript, NodeJS, MongoDB, and SQL.

As a Front-end Developer, responsibilities include creating mobile-responsive features and applications, analyzing requirements, and developing front-end applications using industry-standard technologies, frameworks, and libraries. Tasked with planning and executing application verification and validation tests, launching new versions, and optimizing front-end resources and applications. Collaboration with back-end teams is essential to ensure seamless integration. Identifies and implements optimal technological solutions tailored to specific needs.

Key competencies encompass a strong ability to design aesthetically pleasing and functional user interfaces, tackle complex technical issues, and maintain high code quality adhering to best practices. Effective communication, quick learning, and adaptability to new technologies are also notable strengths.

Committed to continuous learning and process improvement, as evidenced by achieving Scrum certification. Dedicated to producing high-quality software solutions and utilizing productivity tools efficiently. Enthusiastic about sports, particularly professional Jiu-Jitsu, and advocates for good nutrition. Additionally, a coffee enthusiast and animal lover.

Pylinda is a Python library that implements the Linda coordination model, which facilitates parallel and distributed computing. It provides a tuple space for processes to communicate and synchronize by writing, reading, and taking tuples in a shared space, enabling easier management of concurrent tasks.

A Pylinda expert must have strong proficiency in Python programming, a deep understanding of the Linda coordination model, experience with parallel and distributed computing concepts, and familiarity with tuple space operations. They should also possess skills in debugging concurrent systems and optimizing performance for parallel tasks.

How to hire a Pylinda expert

Pylinda was developed to bring the Linda coordination model to Python, enabling parallel and distributed computing through a shared tuple space. It provided a mechanism for processes to communicate and synchronize efficiently. The library allowed Python developers to leverage the benefits of the Linda model, which originated from research in the 1980s aimed at simplifying concurrent programming. Specific details about its creators or the exact year of creation are not well-documented.

About Pylinda

Strengths of Pylinda include its simplicity in managing parallel and distributed tasks through a shared tuple space, and its ability to facilitate communication and synchronization between processes. Weaknesses include limited documentation, potential performance bottlenecks with large-scale applications, and lack of widespread adoption. Competitors include Python's multiprocessing library, Celery for distributed task queues, and Dask for parallel computing.

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