Marco Vasquez E

Email
me@marcovasquez.com
Phone
+506 8667-1271
Location

San Jose, CR

About me

I'm a seasoned Developer Lead and Machine Learning Cloud Engineer with a passion for crafting innovative solutions at the intersection of cutting-edge technologies. Over 13+ years experienced, I have honed my skills in orchestrating cloud environments, implementing robust Kubernetes setups, and leveraging both on-premises and cloud infrastructure.

My expertise extends to various open-source technologies, and I thrive in dynamic, collaborative environments where I can push the boundaries of what's possible.

What i'm doing

Kubernetes and Cloud Orchestration

Spearheading the design and implementation of scalable and resilient Kubernetes clusters for seamless application deployment and management across diverse cloud and on-premises environments.
Terraform Mastery

Proficient in leveraging Terraform to define and provision infrastructure as code, ensuring efficiency, consistency, and agility in the deployment process.
Cloud Expertise

Backed by a repertoire of approximately 20 cloud certifications, I bring a wealth of knowledge in cloud platforms, ensuring that architecture and solutions align with best practices for security, scalability, and performance.
IoT Integration

Extensive experience in working with IoT devices, seamlessly integrating them into the cloud ecosystem for enhanced data analytics, monitoring, and control.
Over-the-Air Updates

Implementing strategies for seamless and secure over-the-air updates to ensure devices and systems stay up-to-date with the latest enhancements and patches.
Big Data Architectures

Designed robust architectures for the efficient processing and streaming of large datasets to the cloud, ensuring optimal performance and data integrity.
Machine Learning Across Edge and Cloud

Specialized in developing and deploying machine learning models, both on edge devices and cloud environments, to enable intelligent decision-making and automation.
Full-Stack Proficiency

Bridging the gap between frontend and backend development, I am well-versed in web development, crafting user-friendly interfaces and scalable backend systems.

Clouds

Resume

Education

Tecnológico de Costa Rica
2007 — 2012
Licentiate degree, Electrical and Electronics EngineeringLicentiate degree, Electrical and Electronics Engineering University degree accredited by the Canadian Engineering Accreditation Board (CEAB).
Edureka Alumni
2019 — 2019
Data Scientist Masters ProgramData Scientist Masters Program
Tecnológico de Costa Rica
2009 — 2011
Graduate, Networking TechnicianGraduate, Networking Technician CCNA 1: Basics in computer networks , CCNA 2: Basics in routing, CCNA 3: Switching and routing, CCNA 4: WAN Technologies, CCNP 2: Remote Access

Experience

Wind River - Lead Cloud Machine Learning EngineerLead Cloud Machine Learning Engineer
July 2022 — Present
• Spearheaded OTA (Over-the-Air) updates for IoT devices, ensuring seamless and secure firmware upgrades.

• Specialized in AWS, leveraging cloud services to optimize device performance and scalability.

• Played a key role in developing cloud-agnostic strategies, ensuring flexibility and compatibility across diverse cloud platforms.

• Demonstrated expertise in leveraging AWS services for efficient data management, storage, and analysis in IoT applications.

• Actively engaged in technology innovation, staying abreast of the latest advancements in IoT and cloud computing.

• Collaborated with cross-functional teams to design and implement secure, reliable, and scalable IoT solutions.

• Participating / owning end to end installation, development, delivery, operations, prioritization, and backlog of HashiCorp Vault.

• Connect tools to track CVE, analyze code for security vulnerabilities, and limit third-party vulnerabilities.

• Serve as key leader and expert on DevOps practices.

• Lead the design and development of technical solutions for frontend applications, IoT Applications monitoring solutions and ML solutions.

• Visualizing data for deeper insights.

• Designing, developing, and researching Machine Learning systems, models, and schemas.
Wind River - Data Scientist and Cloud Specialist
2021 — July 2022
• Develop and coordinate cloud architecture of IoT applications for predictive quality, maintenance, and remote operation.

• Implementation of Secure IoT device connections and data with mutual authentication and end-to-end encryption, using different provisioning/deprovisioning methods in AWS and Azure.

• Streaming large amounts of data to the cloud for further analysis and visualization in real-time and batch processing.

• Design, build & maintain large scale high performing, streaming application platform infrastructure on AWS.
EY - Data Scientist
2020 — 2021
• Supported a national (South America) tax authority to define their initial steps towards deploying a Data Governance Office (organizational structure, data domain definition and other key concepts).

• Involved in the design and development Azure Data Factory ETL solutions for data integration and processing.

• Customer Segmentation at Centro America Bank with Machine Learning models.

• Recommendation and implementation of various Cloud Architectures for data migration, analytics & Big Data and ML to the cloud
VM Prime Data - Data Scientist & Cloud Engineer
2018 — 2020
• Conducted extensive research on revenue management and pricing analytics in the eCommerce sector in the cloud

• Applied various machine learning techniques to build dynamic pricing models and maximize profits

• Responsible for loading unstructured and semi-structured data into a Data Lake solution. Implementation considered the configuration of jobs in AWS GLUE for data processing data using Spark.

• Developed data transformation routines (ETL) to load data into MySQL. Associated efforts included data preparation for machine learning exploitation.

• Designed and implemented data pipelines using Kafka and Kinesis. External systems (social networks and websites) generated real-time data that was sent to Splunk and a data warehouse solution for future processing. Target systems included S3, MySQL and BigQuery

• Designed and built a data pipeline using Delta Lake and Azure Databricks that aimed to optimize an existing process (efficiency objective)
Computer and Network Solutions LTD - Software Engineer
2013 — 2018
• Supported a national (South America) tax authority to define their initial steps towards deploying a Data Governance Office (organizational structure, data domain definition and other key concepts).

• Reseller IT products

• Suggesting and recommending IT products depends of customers needs for provide a good balance of power, performance and cost.

• Deployed multiple front end web application frameworks to lead the design, execution & enhancement of the UI

• Led a team of 5 developers to spearhead development of web applications

• Developed web applications leveraging Django and node.js

• Developed dashboards to monitor sales conversions (marketing funnel) using Docker and Kubernetes.
Tecnológico de Costa Rica - Networking Technical Assistant
2007 — 2011
• Provides technical assistance and training to students

• Instruct students within the standard to ensure a complete solution to their support questions.

• Handled Cisco routers and switches.

• Managed networking, hardware and software support.

• Install and configures network system based on Cisco Network courses