┌─────────────────────────────────────────────────────────┐
│ $ whoami │
│ > Luis Miguel Carmona Pérez │
│ $ cat ~/role │
│ > AI Engineer · ML Engineer · Generative AI Specialist │
│ $ echo $STACK │
│ > Python · LangChain · FastAPI · PyTorch · PostgreSQL │
│ $ echo $CURRENT_FOCUS │
│ > Building intelligent agentic systems 🚀 │
└─────────────────────────────────────────────────────────┘
$ cat ~/info/badges.yaml
$ cat ~/info/contact.sh
$ cat ~/info/metrics.sh
$ cat ~/about.md
#!/usr/bin/env profile
# Luis Miguel Carmona Pérez — AI Engineer
export ROLE="AI Engineer | ML Engineer | Generative AI Specialist"
export EXPERIENCE="1+ year professional · MSc in AI"
export DOMAINS="Medical AI · Healthcare · Nanotech · Laboratory Automation"
export STACK=(
"Python · TypeScript · Java · SQL"
"LangChain · LangGraph · PyTorch · TensorFlow"
"FastAPI · Node.js · Docker · PostgreSQL"
"React · Next.js (learning)"
)
export OPEN_TO=(
"AI Engineer"
"ML Engineer"
"Backend AI"
"Data roles with ML/AI"
)
echo "Ingeniero informático especializado en IA generativa y sistemas
basados en LLMs. Desarrollo flujos agénticos, integración de APIs de IA,
sistemas RAG y evaluación automatizada de modelos. Interesado en backend
IA, automatización y herramientas inteligentes para entornos reales."$ tree ~/tech-stack/
$ cat ~/info/specialties.yaml
$ cat ~/info/expertise.tsv
| Domain | Proficiency | Key Skills & Tools |
|---|---|---|
| Generative AI & LLMs | ████████░░ Advanced |
LangChain, LangGraph, OpenAI API, Gemini API, Groq API, RAG, agentic flows |
| Machine Learning | ████████░░ Advanced |
PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, Plotly |
| Backend Development | ██████░░░░ Intermediate |
FastAPI, Node.js, Supabase, PostgreSQL, REST APIs |
| Computer Vision | ██████░░░░ Intermediate |
OpenCV, Image/Video Segmentation, Autonomous Driving |
| DevOps & Tools | ██████░░░░ Intermediate |
Docker, Git, Linux, CI/CD |
| Web Development | ███░░░░░░░ Learning |
React, Next.js, TypeScript |
$ cat ~/info/featured-work.yaml
🧬 Omniloy — Medical AI Platform LABERIT Sistemas
| Aspect | Detail |
|---|---|
| Stack | LangChain, LangGraph, OpenAI API, Python, FastAPI, PostgreSQL |
| Scale | 18+ medical specialties, production clinical environment |
| Impact | 98% medical accuracy · 2h saved/doctor/day · +25% patient satisfaction |
| My Role | AI agentic flow monitoring, LLM-as-a-judge eval system, metrics portal |
| Contribution | Built evaluation pipelines, usage dashboards (active users, latency, success rate, token consumption, per-doctor graphs) |
🔬 SCALE Nanotech — Lab Automation SCALE Nanotech
| Aspect | Detail |
|---|---|
| Stack | Python, PyVISA, Thorlabs modules, Serial Communication |
| Scale | Research laboratory, precision measurement instruments |
| Impact | Automated data export at 10s frequency, replaced manual instrument control |
| My Role | Full-stack automation developer |
| Contribution | Built serial communication module, automated piezo/camera/XYZ stage control, CSV export pipeline |
🏎️ FSUPV Team — Electronics FSUPV Formula Student
| Aspect | Detail |
|---|---|
| Stack | Electronics, Sensors, Data Acquisition |
| Scale | Student competition race car |
| Impact | Real-time sensor data from a racing vehicle |
| My Role | Electronics intern — sensorization of a formula race car |
$ cat ~/info/experience.log
AI Engineer Junior · Valencia, Spain · Sept 2025 — Present
- Deployed and monitored AI agentic flows for medical software serving 18+ specialties with 98% medical accuracy
- Saved 2 hours per doctor per day in clinical documentation, achieving +25% patient satisfaction
- Implemented LLM-as-a-judge evaluation system for automated response quality assessment
- Built a product usage metrics portal tracking KPIs: active users, latency, success rate, token consumption, per-doctor graphs
#LangChain #LangGraph #OpenAI #LLM-as-a-Judge #FastAPI #PostgreSQL #AgenticFlows #MedicalAI
Student Intern — Code Developer · Valencia, Spain · Mar 2024 — Jul 2024
- Automated precision measurement instruments (piezos, cameras, XYZ stages) using Python, PyVISA, and Thorlabs modules
- Developed a custom serial communication module for laboratory instrument control
- Implemented automated experimental data export to CSV at 10-second frequency
#Python #PyVISA #Thorlabs #SerialComm #Automation #CSV
Electronics Intern · Valencia, Spain · Sept 2021 — Jan 2022
- Sensorized a Formula Student race car for real-time data acquisition
- Collaborated in a multidisciplinary engineering team
#Electronics #Sensors #DataAcquisition #FormulaStudent
$ cat ~/info/achievements.md
| Achievement | Context | |
|---|---|---|
| 🏆 | 98% medical accuracy in AI agentic production flows | Omniloy — LABERIT |
| ⏱️ | 2h saved/doctor/day through AI-assisted clinical documentation | Omniloy — LABERIT |
| 📊 | Built production metrics portal with real-time KPI dashboards | Omniloy — LABERIT |
| 🔬 | Automated lab instruments replacing manual control with Python | SCALE Nanotech |
| 🎓 | MSc in AI — Thesis on video segmentation for autonomous driving | Universitat Politècnica de València |
| 🏎️ | Formula Student electronics — real-time race car sensorization | FSUPV Team |
$ cat ~/info/education.sh
$ cat ~/info/certifications.sh
$ gh analytics --user lmcarper --palette ocean-teal
$ cat ~/info/trophies.yaml
$ cat ~/info/activity-graph.yaml
$ cat ~/info/summary-cards.sh
$ cat ~/info/snake.yaml
Note: The snake animation requires a GitHub Action to generate. Set it up via
Platane/snk— I can help you configure it.
$ cat ~/current-focus.yaml
currently:
learning:
- React
- Next.js
- Modern frontend architecture
building:
- AI agentic systems for medical software
- LLM evaluation and quality assurance frameworks
- Usage analytics dashboards
exploring:
- Advanced RAG techniques (HyDE, multi-query, agentic RAG)
- Evaluation-driven development for AI systems
- AI-powered developer tooling
open_to:
- AI Engineer
- ML Engineer
- Backend AI
- Data roles with ML / AI focus$ cat ~/info/connect.sh
