DNA Helix - representing genomics research

Erick Geovany Artola

AI/ML Engineer • Genomics Researcher • Technical Account Manager

About

Professional headshot of Erick Geovany Artola

Background

Originally from Nicaragua and now based in Costa Rica, I bring a unique perspective to the intersection of technology and life sciences. My journey from Central America to the forefront of AI and genomics research reflects my commitment to leveraging cutting-edge technology for global impact.

As an AWS Technical Account Manager, I help organizations architect and optimize their cloud infrastructure for AI/ML workloads, particularly in the healthcare and biotech sectors. This role allows me to stay at the cutting edge of cloud computing while directly supporting genomics research initiatives.

Research Interests

My primary focus lies in applying artificial intelligence to genomics, particularly in understanding oncogenic pathways and developing computational methods for cancer research. I'm passionate about creating AI models that can identify patterns in genomic data that might lead to breakthrough treatments.

Beyond technical pursuits, I maintain a deep interest in robotics, bioinformatics, stem cell technology, genetic engineering, believing that interdisciplinary thinking is crucial for innovation. This diverse intellectual foundation informs my approach to complex problems in computational biology.

Professional Journey

Technical Account Manager

2024 - Present

Amazon Web Services (AWS)

Leading technical strategy for enterprises in the healthcare, automotive, media and entertainment industry to achieve optimized workload environments.

Key Achievements:

  • • Helped formulate a disaster recovery solution that achieved an RTO of 5 minutes by migrating from Amazon RDS MariaDB to RDS Aurora and helped design a solution to provide automatic AWS Cognito replication across regions.
  • • Engaged with specialists to help guide customers re-architect their Wordpress server in EC2 instances into a three-tier WAF protected production environment which helped remediate source code exposure.
  • • Utilized CRM in conjunction with LLM to create a detailed implementation guide for financial services that helped reduce their IT and operational documentation for OCC audit by 15 hours, or 30%.

Independent Research

2025 - Present

AI Applications in Oncogenomics

Developing machine learning models for identifying cancer biomarkers and predicting treatment responses.

Current Projects:

  • Deep learning approaches for analyzing tumor heterogeneity
  • Transformer-based models for genomic sequence analysis
  • AI-driven biomarker discovery for personalized medicine

Scientific Foundation

2003 - 2007

Built comprehensive education in Biochemistry and Molecular Biology from the University of Miami, and where I learned about molecular biology principles, perform DNA extraction and sequencing for analysis

Focus Areas:

  • Carry out experiments in biological, cellular, molecular, and organich chemistry laboratories
  • Researched in the mechanistic pathway of importin-beta, a protein involved in nuclear transpot
  • Developed a foundation in statistics applicable for scientific analysis

Technical Certifications

These professional certifications demonstrate my commitment to staying current with cloud technologies, AI/ML practices, and industry best practices. View my complete certification portfolio on Credly.

AWS Certified Solutions Architect

Amazon Web Services

Issued: 2023

ID: AWS-SAA-C03

AWS Certified Machine Learning

Amazon Web Services

Status: In Progress

ID: AWS-MLS-C01

Google IT Support Professional

Google

Issued: 2022

ID: COURSERA-CERT

IBM AI Engineering Professional

IBM

Issued: 2022

ID: IBM-AI-ENG

AWS Certified Cloud Practitioner

Amazon Web Services

Issued: 2022

ID: AWS-CLF-C01

Deep Learning Specialization

DeepLearning.AI

Status: In Progress

ID: COURSERA-DL

Let's Advance Science Together

I'm always interested in collaborating on projects at the intersection of AI and genomics. Whether you're working on computational biology challenges, need cloud architecture expertise for life sciences applications, or want to discuss the future of AI in healthcare, I'd love to connect.