class DilanCalvo:
role = "Backend Developer & AI Engineering Candidate"
location = "Costa Rica 🇨🇷"
education = "Technical Degree in Web Development (11th Grade)"
languages = ["Spanish (Native)", "English (Medium)"]
currently_learning = ["Golang", "ML and DL Learner", "Django", "React"]
def available_for(self):
return ["Backend Collaborations", "Open Source", "AI/ML Projects", "Remote Opportunities", "Make Friends"]| Signal | Status |
|---|---|
| 🟢 Core Stack | Django · Python · PostgreSQL · React |
| 🔵 Currently Mastering | Golang |
| 🟡 AI Track | IBM ML Professional Certificate (In Progress) |
| 🟡 Deep Learning | Deep Learning Specialization (In Progress) |
| ⚪ Open To | Collaborations · Internships · Remote Work |
🤖 Hand Tracker — Computer Vision Interface
The problem: Traditional input interfaces have physical limitations. Human-computer interaction should be natural and touchless.
The solution: A real-time hand tracking system using computer vision that translates gestures into actionable system inputs — no hardware required beyond a webcam.
Technical depth:
- MediaPipe landmark detection with custom gesture mapping
- Sub-50ms inference latency on CPU
- Modular architecture for gesture plugin extensions
📰 Fake News Detector — LSTM NLP Model
The problem: Misinformation spreads faster than fact-checking. Manual verification doesn't scale.
The solution: A deep learning classifier using LSTM networks trained on news corpora to distinguish reliable reporting from misinformation — with interpretable confidence scores.
Model details:
- LSTM architecture with attention mechanism
- Text preprocessing pipeline: tokenization → embedding → sequence padding
- Binary classification with confidence output
- Trained on labeled news datasets
| Status | Certification | Issuer | Track |
|---|---|---|---|
| 🔄 In Progress | Machine Learning Professional Certificate | IBM / Coursera | AI Engineering |
| 🔄 Waiting | Deep Learning Specialization | DeepLearning.AI / Coursera | Neural Networks |
| 🔄 In Progress | Technical Degree — Web Development | COTEPECOS | Foundation |
"Every model trained is a lesson in patience and precision."
██████████████████ Workstation: Custom Build
████░░░░░░░░░░░░░░████ CPU: AMD Ryzen 7 8700G (8C/16T @ 4.2GHz)
██░░░░░░░░░░░░░░░░░░░░██ GPU: AMD Radeon 780M (Integrated)
██░░░░░░░░░░░░░░░░░░░░░░██ RAM: 16GB DDR5
██░░░░ ░░░░░░░ ░░██ OS: Dual Boot — Windows 11 / Ubuntu
██░░░░ ░░░░░░░ ░░██ IDE: VS Code + Vim keybindings
██░░░░░░░░░░░░░░░░░░░░██ Shell: Zsh + Oh My Zsh
████░░░░░░░░░░░░░░████ Theme: Dark (always)
██████████████████
> "I don't build things because I know how.
I build things to find out.
Every new language is a new way of thinking.
Every unfamiliar problem is an invitation.
The discomfort of not knowing yet
is exactly where the growth lives."
— Dilan Calvo, CR 🇨🇷