Hi, I'm Juan José Serrano Mora

Applied AI/ML Engineer • Software Engineering Leader

Applied AI/ML engineer with hands-on experience fine-tuning and deploying transformer-based models (LLMs, BERT, GPT, T5), including RAG pipelines, AI agents, and OpenAI-compatible systems. Strong software engineering background building end-to-end ML pipelines, inference services, and workflow automation using Python, Go, Docker, and Kubernetes. Currently pursuing BS in Computer Science (AI/ML focus) at Northern Arizona University with GPA >3.7, graduating May 2026.

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Juan José Serrano Mora

About Me

Applied AI/ML Engineer with proven expertise in transformer models, RAG pipelines, and production systems

Applied AI/ML Engineer Building Production-Ready Systems

Currently working as a Junior AI/ML Engineer in Flagstaff, AZ, while pursuing my Bachelor's in Computer Science (AI/ML Engineering focus) at Northern Arizona University (GPA >3.7, graduating May 2026). I specialize in fine-tuning transformer-based models across multiple architectures (encoder, decoder, encoder-decoder), building RAG (Retrieval-Augmented Generation) systems with vector search and contextual retrieval, and developing AI agents for automation and reasoning tasks. My expertise spans end-to-end ML pipelines covering data preprocessing, model training, evaluation, and deployment using PyTorch, Hugging Face Transformers, and PEFT techniques. I translate real-world problems into scalable AI solutions through experimentation, evaluation, and iterative delivery.

AI/ML Experience 1+ years
Code Contributions 200k+ LOC
Specialty AI/ML + Software Eng
Leadership Team Lead & Mentor

Core Competencies & Technical Expertise:

  • Fine-tuning transformer models (LLMs, BERT, GPT, T5) using PyTorch, Hugging Face Transformers, and PEFT techniques
  • Designing and implementing RAG (Retrieval-Augmented Generation) systems with vector search and OpenAI-compatible APIs
  • Developing AI-driven workflows and agent-based applications for reasoning and automation
  • Building end-to-end ML pipelines: data preprocessing, model training, evaluation, and inference deployment
  • Software engineering: Python, Go, Docker, Kubernetes, CI/CD for production ML systems
  • Contributed 50K+ LOC and refactored 30K+ LOC across ML tooling and APIs
  • Technical documentation: authored 150+ pages of ML/LLM documentation
  • Leadership: Team Lead in NASA Space Apps Hackathon & CodeLab Hackathon (2023-2025)
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K+ Lines of Code
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Pages ML Documentation
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ML Models Fine-tuned
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Year as Junior AI/ML Engineer

Resume

My professional and academic journey

Junior AI/ML Engineer

Aug 2025 - Present

Flagstaff, AZ

Transformer Architecture Expertise: Fine-tuning and evaluating large language models (LLMs) across multiple transformer architectures including encoder, decoder, and encoder-decoder models using PyTorch, Hugging Face Transformers, and PEFT techniques. End-to-End ML Pipelines: Designed and implemented comprehensive AI/ML pipelines covering data preprocessing, model training, evaluation, and inference deployment for production environments. RAG & AI Agents: Built Retrieval-Augmented Generation (RAG) systems integrating vector search, contextual retrieval, and OpenAI-compatible APIs. Developed AI-driven workflows and agent-based applications to support reasoning, automation, and user-facing interactions.

PyTorch Hugging Face RAG Systems AI Agents PEFT

AI/ML Engineer Intern

Jun 2025 - Aug 2025

Flagstaff, AZ

Multi-Modal Transformer Fine-tuning: Fine-tuned encoder, decoder, and encoder-decoder transformers for NLP and multi-modal data processing, optimizing model performance and inference efficiency. RAG System & OpenAI API: Built a Retrieval-Augmented Generation (RAG) system and developed an OpenAI-compatible API for seamless integration and user context management in production environments. Significant Codebase Contributions: Contributed 50K+ lines of code and refactored 30K+ lines across internal ML tooling and APIs, applying software engineering best practices. Comprehensive Technical Documentation: Authored 150+ pages of ML/LLM technical documentation covering architecture, training, evaluation, and deployment.

Transformers RAG OpenAI API Multi-modal AI Documentation

DevOps Developer

Sept 2024 - Nov 2024

Zaragoza, Spain

Property Management System (PMS): Developed and optimized a Property Management System to improve workflows and maintainability using modern software engineering practices. Container Orchestration: Applied Docker and Kubernetes to streamline deployment processes, ensuring consistent and scalable infrastructure. Cross-functional Collaboration: Collaborated with cross-functional teams to deliver stable and reliable solutions, maintaining high code quality standards.

Docker Kubernetes DevOps System Design

Software Engineer Intern

Jun 2024 - Sept 2024

Zaragoza, Spain

First Professional Experience: Secured first internship during sophomore year, marking entry into professional software engineering. Go Development: Delivered features and bug fixes in Go for enterprise software, focusing on reliability and scalability. Production Systems: Ensured reliability and scalability in production systems through rigorous testing and code review processes. Software Engineering Fundamentals: Gained hands-on experience with version control, CI/CD pipelines, and collaborative development workflows.

Go Enterprise Software Production Systems Bug Fixing

Shift Lead / Barista

Jun 2023 - Dec 2023

Hotel Sauce - Zaragoza, Spain

Led afternoon shift operations, managing team coordination and service delivery in a fast-paced hospitality environment. Developed leadership, customer service, and multitasking skills while maintaining high service quality standards.

Team Leadership Customer Service Operations Communication

Construction Worker

Summers 2021 & 2022

Zaragoza, Spain

Started professional experience at age 16 during high school summer breaks. Developed strong work ethic, team collaboration skills, and discipline while working in physically demanding construction environments. Assisted in site preparation, equipment handling, and adhered to safety protocols.

Work Ethic Team Collaboration Safety Protocols Reliability

Bachelor of Science in Computer Science

Expected Graduation May 2026

Northern Arizona University – Flagstaff, AZ | GPA: >3.7

Focus: AI/ML Engineering with emphasis on production systems and scalable architectures. Relevant Coursework: Artificial Intelligence, Machine Learning, Unsupervised Machine Learning, Deep Learning, Natural Language Processing. Programming Languages: C, C++, Java, Python, Golang, TypeScript, bash, and more. Academic Projects: Developed ML models for anomaly detection and reinforcement learning for motion planning.

AI/ML Deep Learning NLP Software Engineering

NASA Space Apps Hackathon & CodeLab Hackathon

2023 - 2025

Team Lead / Participant

Led 6+ member teams in project design and delivery under time pressure across multiple hackathon events. Applied agile collaboration, pair programming, and effective project coordination to deliver innovative solutions. Demonstrated strong leadership and team management skills in high-stakes competitive environments.

Team Leadership Agile Project Coordination Pair Programming

University Student Representative

2025 - Present

Northern Arizona University

Serve as liaison between students and faculty to improve academic programs and student experience. Advocate for peers, coordinate departmental initiatives, and facilitate communication across Computer Science department.

Advocacy Communication Leadership Coordination

Technical Content Creator (AI/ML)

Jun 2024 - Present

TikTok | @oneaiengineer

Create accessible educational videos on Computer Science and AI/ML for broad audiences. Transform complex AI/ML and software engineering topics into engaging, digestible content. Focus on making technical concepts accessible while maintaining accuracy and depth.

Technical Communication Content Creation AI/ML Education Community Engagement
Show Resume

Projects

Open Source Projects

Interested in seeing more projects?

View GitHub

Skills

Technologies and tools I master

AI/ML & Deep Learning

PyTorch / TensorFlow 95%
Hugging Face Transformers 90%
LLM Fine-tuning & PEFT 88%
NLP & Multi-modal AI 85%

Software Engineering

Clean Architecture & Design Patterns 92%
Modular System Design 88%
Code Refactoring & Optimization 90%
Testing & Quality Assurance 85%

Leadership & Collaboration

Team Leadership & Management 90%
Cross-functional Collaboration 88%
Mentoring & Knowledge Transfer 85%
Technical Communication 92%

Tools & Frameworks

Python
Go
JavaScript
Docker
Kubernetes
Git

Recommendations

Professional testimonials from colleagues and supervisors

Dr. Óscar Rubio Martín

Technology Director at Imascono

Development of Innovative Products

August 10, 2025 • Direct Supervisor

"Juan José has been the best intern I've had in the last 5 years. From his very first week with us, he made an impressive impact: he quickly grasped the key concepts of LLMs and fine-tuning, and successfully debugged and optimized a fine-tuning project. Since then, he has continued to evolve the architecture, code, training datasets, and documentation."

"During this time, Juan José has consistently demonstrated hard work, strong skills in AI development, and a remarkable blend of passion and creativity."

AI/ML Development LLM Fine-tuning Problem Solving Documentation

José Ángel Caudevilla Casaus

DevOps Engineer at Trioteca

October 22, 2024 • Direct Supervisor

"I had the pleasure of working with Juan José at Entertainment Solutions, where he contributed to our software development team. Throughout his time with us, he demonstrated a strong foundation in programming, problem-solving, and software design."

Software Development Problem Solving Programming Software Design

Contact

Let's discuss how I can contribute to your AI/ML projects

Email

jserranom04@gmail.com

Phone

+34 622 48 11 21

Location

Flagstaff, AZ

Status

Working for Imascono

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