♦ A Software and Blockchain Engineer with over 9 years of industrial experience in the design and development of large-scale software and ETL data pipelines using Python, Go, Solidity, Rust, Web3, Big Data Ecosystem, Dockers, JavaScript, Angular, NodeJS, Spring boot, Hibernate, REST Web Services, SQL, NoSQL. ♦ Experience in architecture design and development of ETL Big data engineering pipelines. ☕ Technical Skills •Languages: Python, R, Go, JavaScript, jQuery, JUnit •Web: HTML, CSS, Spring boot, Bootstrap, JavaScript, Vue js, React js, Angular js, node js •Blockchain: Solidity, Rust, Smart Contract Development, Web3, Ethereum, Solana •Technologies: REST web services API, Hadoop, Spark, Amazon Web Services S3 Cloud, Docker, Jenkins, Elastic Search, Blockchain •Databases: MySQL, SQL Server, PostgreSQL, PL/SQL, Oracle, Hibernate, JDBC •Data Science: Machine Learning, Predictive Modelling, Deep Learning, Data Mining •OS: Unix, Linux, Mac OS X 🔂 Interests: •Distributed Systems like Blockchain, IPFS, HDFS, DynamoDB •Big Data technologies •Machine Learning / Predictive Analysis / Deep Learning

elitemartinchavez740

♦ A Software and Blockchain Engineer with over 9 years of industrial experience in the design and development of large-scale software and ETL data pipelines using Python, Go, Solidity, Rust, Web3, Big Data Ecosystem, Dockers, JavaScript, Angular, NodeJS, Spring boot, Hibernate, REST Web Services, SQL, NoSQL. ♦ Experience in architecture design and development of ETL Big data engineering pipelines. ☕ Technical Skills •Languages: Python, R, Go, JavaScript, jQuery, JUnit •Web: HTML, CSS, Spring boot, Bootstrap, JavaScript, Vue js, React js, Angular js, node js •Blockchain: Solidity, Rust, Smart Contract Development, Web3, Ethereum, Solana •Technologies: REST web services API, Hadoop, Spark, Amazon Web Services S3 Cloud, Docker, Jenkins, Elastic Search, Blockchain •Databases: MySQL, SQL Server, PostgreSQL, PL/SQL, Oracle, Hibernate, JDBC •Data Science: Machine Learning, Predictive Modelling, Deep Learning, Data Mining •OS: Unix, Linux, Mac OS X 🔂 Interests: •Distributed Systems like Blockchain, IPFS, HDFS, DynamoDB •Big Data technologies •Machine Learning / Predictive Analysis / Deep Learning

Available to hire

♦ A Software and Blockchain Engineer with over 9 years of industrial experience in the design and development of
large-scale software and ETL data pipelines using Python, Go, Solidity, Rust, Web3, Big Data Ecosystem, Dockers,
JavaScript, Angular, NodeJS, Spring boot, Hibernate, REST Web Services, SQL, NoSQL.
♦ Experience in architecture design and development of ETL Big data engineering pipelines.
☕ Technical Skills
•Languages: Python, R, Go, JavaScript, jQuery, JUnit
•Web: HTML, CSS, Spring boot, Bootstrap, JavaScript, Vue js, React js, Angular js, node js
•Blockchain: Solidity, Rust, Smart Contract Development, Web3, Ethereum, Solana
•Technologies: REST web services API, Hadoop, Spark, Amazon Web Services S3 Cloud, Docker, Jenkins, Elastic
Search, Blockchain
•Databases: MySQL, SQL Server, PostgreSQL, PL/SQL, Oracle, Hibernate, JDBC
•Data Science: Machine Learning, Predictive Modelling, Deep Learning, Data Mining
•OS: Unix, Linux, Mac OS X
🔂 Interests:
•Distributed Systems like Blockchain, IPFS, HDFS, DynamoDB
•Big Data technologies
•Machine Learning / Predictive Analysis / Deep Learning

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Beginner
Beginner
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Language

English
Fluent

Work Experience

Add your work experience history here.

Education

Bachelors Degree at Clark College
September 1, 2011 - April 30, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Gaming, Financial Services, Media & Entertainment, Healthcare, Software & Internet
    paper HRMS(Human Resource Mangement System)

    Description: HRMS is a form of human resources (HR) software that combines a number of systems and processes to
    ensure the easy management of human resources, business processes and data. Human resources software is used by
    businesses to combine a number of necessary HR functions, such as storing employee data, managing payroll,
    recruitment, benefits administration, time and attendance, employee performance management, and tracking
    competency and training records.

    paper Thingsboard

    Played a key role in the development of Thingsboard, an innovative open-source IoT platform, focusing on data
    visualization and device management. My contributions involved utilizing Angular for front-end development, Node.js
    for server-side efficiency, and Java Spring Boot for robust back-end architecture. The project emphasized scalable
    connectivity solutions, enabling real-time data processing and a user-centric approach to IoT applications.

    paper Tabrabbit

    Contributed to Tabrabbit.com, a cutting-edge restaurant technology suite that revolutionizes the dining experience
    through innovative software. My role involved utilizing React for dynamic front-end development and implementing
    Continuous Integration (CI) practices to ensure efficient, iterative updates and high-quality code deployment. The
    platform streamlines restaurant operations by integrating business management tools into a single, user-friendly suite,
    enhancing both vendor and consumer experiences.

    paper Thingsboard

    Played a key role in the development of Thingsboard, an innovative open-source IoT platform, focusing on data
    visualization and device management. My contributions involved utilizing Angular for front-end development, Node.js
    for server-side efficiency, and Java Spring Boot for robust back-end architecture. The project emphasized scalable
    connectivity solutions, enabling real-time data processing and a user-centric approach to IoT applications.

    paper AI-Powerd Solana Trading Telegram bot

    Designed and developed an advanced Telegram bot leveraging AI for Solana trading. Implemented machine learning
    models to predict market swings, enhancing decision-making in real-time. Features include automated buy/sell
    executions, LP and token sniping capabilities, and MEV bot strategies. Engineered dynamic algorithms for adaptive
    trading responses, optimizing performance based on market conditions. Integrated natural language processing (NLP)
    for intuitive user interactions and data analysis, enabling proactive trading insights.