RESUME

AI/ML Systems Engineer

View General Resume (PDF)

Representation Analysis Activation Steering Logit Lens PCA Cosine Similarity ROC Analysis Python C/C++ TypeScript JavaScript PyTorch Hugging Face Transformers Scikit-Learn SciPy NumPy Pandas Matplotlib Plotly Linux Windows Git GitHub OpenAI Codex SDK/API Integration Automated Testing Continuous Integration Google Colab Jupyter Notebook LaTeX Spanish English Representation Analysis Activation Steering Logit Lens PCA Cosine Similarity ROC Analysis Python C/C++ TypeScript JavaScript PyTorch Hugging Face Transformers Scikit-Learn SciPy NumPy Pandas Matplotlib Plotly Linux Windows Git GitHub OpenAI Codex SDK/API Integration Automated Testing Continuous Integration Google Colab Jupyter Notebook LaTeX Spanish English

Summary

AI/ML systems engineer who has developed and evaluated applied AI prototypes for resource-constrained devices, conducted reproducible machine-learning experiments, and built cross-platform research and hardware-software tools. Experience spans representation analysis, particle-tracking classification, scientific computing, protocol-driven integration, and automated testing.

Education

Ingeniero en Sistemas Computacionales (Computer Systems Engineering)
Instituto Tecnológico de Tijuana, Tecnológico Nacional de México
Aug 2019 – Dec 2023
Degree conferred: Nov 2024
GPA: 95.12/100

Selected coursework: Computer Architecture, Operating Systems, Artificial Intelligence, Numerical Methods, Discrete Mathematics, Differential Calculus, Integral Calculus, Vector Calculus, Differential Equations, Linear Algebra, Data Structures, Formal Languages and Automata I, Probability and Statistics.

Experience

Open Innovation Engineer

Samsung Research Tijuana
Feb 2024 – Present
Supervisor: Jorge Alonso Pulido Trujillo

  • Developed and evaluated 10+ AI prototypes for resource-constrained consumer devices, spanning on-device ML, language and speech interfaces, and assistant functionality.
  • Integrated a voice-identification SDK with Tizen TV and SmartRC microphones in C/C++; documented audio_io APIs and ARM32 constraints for internal proof-of-concept use and partner requirements.
  • Delivered four technical demonstrations to executive stakeholders during engineering workshops in South Korea, collaborating with international engineering teams and technology partners.

Undergraduate Thesis Researcher

Instituto Tecnológico de Tijuana
Aug 2023 – Feb 2024
Advisor: José Sergio Magdaleno Palencia

Thesis: Application of Digital Tools in Chemistry Learning for Mechanical Engineering at a Higher Education Institution. Submitted Jan 2024; professional examination passed Oct 7, 2024.

  • Co-designed a quasi-experimental pretest-posttest study involving 46 consenting engineering students and analyzed 39 participants across control and digitally assisted groups.
  • Built a Python analysis pipeline using Pandas, NumPy, SciPy, Matplotlib, and NLTK for data preparation and descriptive analysis.
  • Reported descriptive pretest-posttest gains in both groups without a clear advantage for the digitally assisted group; documented confounders and limitations in the coauthored thesis.

Research Assistant

University of California San Diego
Jun 2023 – Aug 2023
Mentor: Jonathan Guiang

  • Co-developed two fully connected PyTorch DNNs for binary classification of candidate track segments in the CMS Line Segment Tracking pipeline.
  • Implemented data preprocessing, training, inference, and ROC evaluation on a UC San Diego computing cluster.
  • Evaluated the larger DNN at 0.9724 ROC AUC versus 0.9751 for the lab GNN baseline; coauthored the code and report and presented at UC San Diego and Instituto Tecnológico de Tijuana.

Academic Tutor

Universidad Autónoma de Baja California
Mar 2023 – Oct 2023
Supervisor: Lizeth Carolina Aguilar Dodier

  • Tutored 62 undergraduate engineering students in Differential Calculus, Programming Methodology, and Programming and Numerical Methods through individual and group sessions.
  • Adapted explanations and worked examples to differing levels of preparation and coordinated topic-focused study groups.
  • Analyzed attendance with Pandas and Matplotlib and proposed combined individual/group tutoring and targeted tutor training in a report and analysis.

Selected Public Projects

Partial Replication of Anthropic’s Emotion Vectors

Independent research project
Apr 2026 – Jul 2026
Technical report and code: Technical report · Replication repository

  • Conducted a resource-constrained partial replication of selected emotion-concept analyses in GPT-2 Medium and Gemma 4 E2B using nine- and 20-emotion configurations.
  • Released four documented Colab configurations and 2,000 Gemini-generated stories; applied Logit Lens, PCA, cosine similarity, and activation steering.
  • Observed partial PC1 valence-like separation and local similarity groups; token-probability shifts and repetitive continuations did not independently validate emotional tone or coherence.

iRig BlueBoard - BOSS Katana CLI Bridge

Independent software project
Aug 2026 – Sep 2026
Release evidence: v1.0.2 release

  • Built a Python CLI that maps iRig BlueBoard BLE-MIDI input to controls on the original BOSS KATANA-100 MkI amplifier over USB-MIDI.
  • Implemented amplifier-state synchronization using MIDI System Exclusive (SysEx) messages, alongside MIDI routing, reconnect handling, and modular action dispatch.
  • Released v1.0.2 with Windows/Linux CI; prior acceptance records document 167 tests and original KATANA-100 MkI hardware validation on Windows and Linux Mint 22.2.

Selected Presentations

Partial Replication of Anthropic’s Emotion Vectors Using Gemma 4 E2B and GPT-2 Medium Inside a Google Colab T4 Notebook

A. J. Flores-Azcona. Slides. Virtual oral presentation, Internal Research Seminar, Samsung Research Tijuana. May 12, 2026.

Tizen Native in the Age of AI Tools

A. J. Flores-Azcona. Slides. Technical talk at INNOVATEC 2025, Instituto Tecnológico de Tijuana. Nov 20, 2025.

Using Machine Learning for Particle Tracking at the Large Hadron Collider

A. D. Dennis-Hernandez and A. J. Flores-Azcona. Bilingual slides. Oral presentation, ENLACE 2023 Simposio en Baja California, Instituto Tecnológico de Tijuana. Sep 28, 2023.

Using ML for LHC Particle Tracking

A. D. Dennis-Hernandez and A. J. Flores-Azcona. Poster. Presented at the ENLACE 2023 Closing Ceremony and Research Symposium, University of California San Diego. Aug 11, 2023.

Technical Skills

  • Programming: Python, C/C++, TypeScript, JavaScript.
  • ML and Scientific Computing: PyTorch, Hugging Face Transformers, scikit-learn, SciPy, NumPy, Pandas, Matplotlib, Plotly.
  • Research Methods: Representation Analysis, Activation Steering, Logit Lens, PCA, Cosine Similarity, ROC Analysis.
  • Engineering and Research Tools: Linux, Windows, Git/GitHub, OpenAI Codex, SDK/API Integration, Automated Testing and Continuous Integration, Google Colab, Jupyter Notebook, LaTeX.
  • Languages: Spanish (Native); English (TOEFL iBT: 5.5/6.0).

Additional Training