jn↗Julio Nunez
Software engineering · AI · ResearchSan Diego, California

From research
to the real world.

I’m Julio, an AI-focused software engineer turning complex data and models into useful, dependable products.

Explore my work Download résumé
Full-stack perspective.
End-to-end ownership.
The way I work01 — 03
Make the complex useful.

Data → Models → Products

Experience across
GoogleMetaGlobantSan Diego State
UniversityUC San Diego
01 / Selected work

Ideas, made tangible.

Personal projects connecting applied machine learning with software people can use.

Clinical language → Clarity01
CLINICAL TRANSCRIPT
Unstructured input
BART / SUMMARY
Focused output
Architecture illustration
Applied AI · Healthcare2025

Clinical Notes Summarizer

A fine-tuned BART model that turns medical transcripts into concise summaries, served through a containerized FastAPI application on GCP.

  • Python
  • Hugging Face
  • BART
  • FastAPI
  • GCP
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From model to service

Fine-tuned BART for abstractive summarization of medical transcripts, then deployed the inference workload behind a FastAPI service on Google Cloud.

Engineering focus

Domain-specific model adaptation, containerized inference, and an API that connects the model to a usable application.

Real-time signals → Insight02
STREAMKafka + Spark
Classify & monitor
1K+ messages / secondModel-drift monitoring
Architecture illustration
Data engineering · ML2024

Real-Time Sentiment Dashboard

An end-to-end streaming system that classifies live social media sentiment, tracks model drift, and brings the results into a React dashboard.

  • Kafka
  • Spark Streaming
  • React
  • scikit-learn
Read project notes

A continuous data loop

Built a streaming pipeline that processes more than 1,000 messages per second, classifies sentiment, and presents the output in a React dashboard.

Engineering focus

Real-time ingestion, streaming classification, model-drift monitoring, and a product interface for understanding the results.

Selected outcomes

Built to make
a difference.

Google · AI inference35%

Lower inference latency across 10K+ daily queries.

Meta · Product engineering40%

Improvement in initial dashboard load time.

SDSU · Research infrastructure80%

Improvement in research turnaround.

02 / Experience

A multidisciplinary
point of view.

Software, data, and research—across production teams, universities, and emerging AI platforms.

Jul 2026 — PresentCurrentAlignerrData ScientistContract · Remote

Evaluating training data and model outputs for LLM alignment, with a focus on factual accuracy, reasoning quality, and expert review guidelines.

LLM evaluation · Dataset curation · Quality guidelines
Nov 2025 — Jul 2026Mercor IntelligenceFreelance Software EngineerContract · Remote

Served as an EPM across more than five concurrent projects. Led delivery, task quality assurance, and expert onboarding across multiple technical domains.

Technical delivery · Quality assurance · Expert onboarding
Jun 2024 — Jun 2026GlobantSoftware EngineerFull-time · Mexico City

Built reusable Angular components and banking interfaces, led Capacitor migrations for Android and iOS, and collaborated with design teams on accessible, responsive client applications.

Angular · RxJS · Capacitor · Accessibility · SASS/CSS
Mar 2025 — Mar 2026MetaFull-Stack Engineer, AI SystemsContract · Remote

Redesigned moderation dashboards with React, GraphQL, and Relay. Built real-time notifications with WebSockets and Kafka for more than two million users, and helped migrate legacy modules to React with 90% test coverage.

React · GraphQL · Relay · WebSockets · Kafka
Jun 2023 — May 2025San Diego State UniversityResearch Development Software EngineerFull-time · San Diego

Led medical research software development for patients and clinicians. Built microbial software and data pipelines for NASA-funded research, and prototyped ML tooling for research dataset classification.

Medical research software · Data pipelines · Applied ML
Jan 2024 — Jan 2025GoogleArtificial Intelligence EngineerContract · Mountain View

Built multimodal inference pipelines with TensorFlow Serving and Kubernetes, integrated a fine-tuned BERT model into a diagnostic assistant, and deployed ML systems on Vertex AI with monitoring and canary releases.

TensorFlow Serving · BERT · Kubernetes · Vertex AI · Apache Beam
Jun 2023 — Jul 2023UC San DiegoEducation ResearcherContract · San Diego

Led mobile application development for UCSD CREATE and contributed to educational software supporting active learning research.

Mobile development · Educational software · Research
03 / A little about me

Curiosity, with
an engineering mindset.

I’m a San Diego–based software engineer working at the intersection of AI, full-stack development, and applied research.

My work spans healthcare, education, and real-time systems. I enjoy connecting the whole picture: preparing data, adapting models, designing interfaces, and getting systems into production.

B.S. in Computer ScienceSan Diego State University2020 — 2024
My toolkit

01 Models & intelligence

Python, TensorFlow Serving, BERT, Hugging Face Transformers, scikit-learn, Vertex AI

02 Data & infrastructure

Kafka, Apache Beam, Cloud Dataflow, Spark, streaming pipelines, model monitoring

03 Product & delivery

React, Angular, RxJS, GraphQL, FastAPI, WebSockets, Git, canary releases, A/B testing

From data preparation to deployment.
The complete picture

Good work starts
with a closer look.

Explore my experience, projects, and technical background in the full résumé.

Download my résumé