Hi, I'm Victor Terrón
Available for work!

+6 years of experience. PhD Candidate in Computational Sciences · Software Engineer · Researcher.

Software engineer with an MSc in Software Engineering from CIMAT, where I graduated as the top student of my cohort. Currently pursuing a PhD in Computational Sciences at Tecnológico de Monterrey, Mexico's leading private university, with a research focus on Large Language Models (LLMs) as judges for software quality evaluation. My work spans software engineering, software quality processes, and the application of AI to software development. I have authored and co-authored publications in journals such as IEEE Access, Applied Sciences (MDPI), and Springer, and hold two granted software copyrights. I have served as a reviewer for IEEE Access and as a scientific committee member for international conferences, including collaborations in cybersecurity research in Peru. I am also a certified expert witness in informatics (perito en informática). I develop primarily in Python using Django, and my professional interests include ISO/IEC standards for software development, technical debt, and LLM-based evaluation frameworks.

About Me

PhD Candidate in Computational Sciences | MSc Software Engineering | Python Developer | Certified Expert Witness in Informatics

I hold a Master's degree in Software Engineering from the Centro de Investigación en Matemáticas (CIMAT), where I was recognized as the top student of my cohort for achieving the highest academic production and GPA (view master's degree document). I also hold a B.Eng. in Mechatronics Engineering from Universidad Tecnológica de Tlaxcala.

I am currently a PhD candidate in Computational Sciences at the Instituto Tecnológico y de Estudios Superiores de Monterrey (Tecnológico de Monterrey), Mexico's leading private university. My doctoral research focuses on the use of Large Language Models (LLMs) as judges for evaluating software quality processes and development artifacts. This work sits at the intersection of software engineering, quality standards, and artificial intelligence.

My research interests center on software engineering, software quality processes (ISO/IEC 29110, ISO/IEC standards for Very Small Entities), technical debt in software development, and the application of LLMs to automated evaluation. I have authored and co-authored publications in IEEE Access, Applied Sciences (MDPI), Springer, RISTI, and Research Square, and I hold two granted software copyrights (FungiRegEx and Bio-Suite-T) registered with Mexico's national copyright office.

I have served as a peer reviewer for IEEE Access and hold an Elsevier Certified Peer Reviewer credential. I have participated as a scientific committee member for international conferences, including CIMPS. My international collaborations include research work in cybersecurity conducted in Peru, resulting in a Springer book chapter on AI in cloud cybersecurity.

I am a certified expert witness in informatics (perito en informática), and I have completed a research stay at the Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), where I worked on NLP implementation and pattern recognition in proteomic sequences.

Research & Professional Focus

My professional work spans Python development with Django, software quality standards implementation, AI and NLP model integration in web platforms, project management using agile and traditional methodologies, and AWS infrastructure administration. I have 6 years of professional experience across these domains, supported by certifications in Lean Six Sigma Green Belt, KanBan System Design, SCRUM, DevOps, and Google Project Management.

ORCID: 0000-0002-6092-1202

Victor Terrón

Work Experience

  1. •

    PhD Candidate & Researcher

    Tecnológico de Monterrey

    Doctoral research in Computational Sciences focused on the application of Large Language Models (LLMs) as judges for software quality evaluation. Investigating LLM-based evaluation frameworks for software development processes and ISO/IEC standards compliance. Serving as peer reviewer for IEEE Access and as scientific committee member for international conferences.
  2. •

    Python Developer (DJANGO)

    Research Centre in Mathematics (CIMAT A.C.)

    Led development and deployment of CIMPS 2024's event management platform using Django, implemented secure payment processing and automated diploma generation for 500+ participants, and fortified the application with Cloudflare protection while maintaining 99.9% uptime on AWS infrastructure. Learn more...
  3. •

    Python Developer (DJANGO)

    BECAANA Dulces S.A. de C.V.

    Led the development and implementation of a comprehensive ERP and sales point system for BECAANA Dulces, following ISO/IEC 29110 standards and Agile methodologies. Added features including financial analytics dashboard, vendor reporting, and automated receipt generation. Deployed the containerized application on AWS EC2 with complete infrastructure setup (SSL, Firewall, DNS), achieving zero downtime while maintaining robust security through role-based access control. Learn more...
  4. •

    Research Stay — NLP & Pattern Recognition

    INAOE (Instituto Nacional de Astrofísica, Óptica y Electrónica)

    Conducted a research stay focused on NLP implementation for the VSEST 29110 platform and explored algorithms for maximal pattern recognition in fungal protein sequences. Refined AI models used for knowledge extraction from work products delivered during ISO/IEC 29110 standard implementation.
  5. •

    Project Manager

    Research Centre in Mathematics (CIMAT A.C.)

    Led the development and early delivery of BioSuite-T, a copyrighted bioinformatics platform integrating AI algorithms for omics data analysis, while managing deployment on AWS EC2 and implementing ISO/IEC 29110 standards, resulting in a streamlined, code-free environment for researchers.
  6. •

    Python Developer for AI (NLP) data analysis using DJANGO

    CIMAT A.C. & Nuevo León Government

    Led the development of a Django-based sentiment analysis platform for tourism, implementing Transformer AI models to analyze Google Maps reviews. Engineered a no-code GUI dashboard for stakeholders, complete with automated graph generation. Deployed the containerized application on AWS EC2 with full security configuration.
  7. •

    System Administrator

    Research Centre in Mathematics (CIMAT A.C.)

    Administered AWS infrastructure for CIMPS 2022, 2023, and 2024 events, managing EC2 deployments, security configurations, and containerized applications (OpenConf, WordPress, DJANGO), while ensuring continuous system availability and secure access through SSL-certified domains.

Publications & Intellectual Property

Journal Articles

BioSuiteT: A Unified Tool for Biological Sequence Analysis

Applied Sciences (MDPI) · 2025 · First Author

DOI: 10.3390/APP15126565

A Systematic Literature Review on Technical Debt in Software Development: Types, Tools, and Concerns

International Journal of Combinatorial Optimization Problems and Informatics · 2025 · First Author

DOI: 10.61467/2007.1558.2025.V16I4.1150

VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work Products

IEEE Access · 2024 · Corresponding Author

DOI: 10.1109/ACCESS.2024.3449252

FungiRegEx: A Tool for Pattern Identification in Fungal Proteomic Sequences Using Regular Expressions

Applied Sciences (MDPI) · 2024 · First Author

DOI: 10.3390/APP14114429

Propuesta de Unificación de Herramientas Bioinformáticas para el Análisis de Secuencias Proteómicas y Genómicas

Revista Ibérica de Sistemas e Tecnologias de Informação (RISTI) · 2024 · First Author

DOI: 10.17013/RISTI.53.122–137

FungiRegEx: A Tool for Patterns Identification in Fungal Proteomic Sequences Using Regular Expressions

Research Square (Preprint) · 2024 · First Author

DOI: 10.21203/RS.3.RS-3852782/V1

Book Chapters (Springer & RISTI)

Artificial Intelligence in Cloud Cybersecurity: A Bibliometric Study

Springer Nature Switzerland · 2025 · Co-Author

DOI: 10.1007/978-3-032-10929-3_16

A Comparative Study of Maximal and Closed Sequential Pattern Mining Algorithms on Proteomic Sequences in the Fungal Kingdom

Springer Nature Switzerland · 2025 · First Author

DOI: 10.1007/978-3-031-90310-6_24

Framework Proposal to Combine Models and Standards in Multi-Model Environments to Software Development Organizations

Springer · 2024 · First Author

DOI: 10.1007/978-3-031-50590-4_4

Identifying Improvement Findings in the Traceability Record Regarding the ISO/IEC 29110 Standard: A Case Study

Springer · 2024 · First Author

DOI: 10.1007/978-3-031-50590-4_7

Solar Tracking Systems in Compound Parabolic Concentrators

Springer · 2024 · First Author

DOI: 10.1007/978-3-031-50590-4_25

Propuesta de Mejoras para la Implementación del Estándar ISO/IEC 29110 Utilizando Lógica Matemática

RISTI · 2023 · First Author

DOI: 10.17013/RISTI.49.52–66

Intellectual Property (Granted Copyrights)

Bio-Suite-T

Software copyright · Granted · Registration: 03202311221240380001 · Filed: 2023-11-04

Software for the analysis of genomic and proteomic sequences, focused on but not limited to fungal and algal species.

FungiRegEx

Software copyright · Granted · Registration: 03202301311147320001 · Filed: 2023-01-31

Web tool for searching regular expressions in fungal proteomes from the JGI Mycocosm database.

Reviewer & Scientific Committee

Peer Reviewer for IEEE Access (ISSN: 2169-3536)

Elsevier Certified Peer Reviewer (2024)

Scientific Committee Member for international conferences (including CIMPS)

Projects

VSEST 29110 Platform

VSEST 29110

  • Python
  • Django
  • AI / ChatGPT
  • ISO/IEC 29110
  • AWS
Platform supporting ISO/IEC 29110 standard implementation for Very Small Entities (VSEs), integrating ChatGPT API for intelligent document analysis and compliance auditing. Published in IEEE Access. Features automated documentation review, real-time compliance tracking, social login, and role-based access control.
FungiRegEx Tool

FungiRegEx

  • NodeJS
  • MongoDB
  • Bioinformatics
Software tool for analyzing fungal protein sequences using regular expressions across the JGI Mycocosm database (2,402 species). Published in Applied Sciences. Holds a granted software copyright. Features a user-friendly GUI, customizable search parameters, and CSV export.
Shiny Application COVID-19

El impacto del COVID 19 sobre la economía mexicana (Shiny Application)

  • R
  • Shiny
  • ARIMA
Analysis of COVID-19 impact on Mexican employment using ARIMA time series models and interactive Shiny visualizations across economic sectors and income levels.
IoT Broker EMQX

IoT Broker Server with EMQX and MQTT

  • Python
  • C++
  • ESP32
  • MQTT
IoT broker server using EMQX and MQTT protocols for smart home communication. Programmed ESP32 and Arduino devices using C++, C, and Python for real-time data transmission and home automation.

Certifications & Courses