JD

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Juan David

> AI Engineer · LLM Systems & Agents

10+ years building software, from cloud-native backends and real-time streaming to AI-powered products. Problem solver first, coder second.

Current mission e.juandav@gmail.com

01 · Current mission

Next orbit: AWS Certified AI Practitioner

Already AWS Certified Developer – Associate. Now actively preparing for the AWS Certified AI Practitioner exam (AIF-C01), going deep on AI, ML and generative AI on AWS.

Launch AWS Certified Developer Associate · achieved
In transit AWS Certified AI Practitioner Foundational · studying now

Flight log · AIF-C01 exam domains

  • Fundamentals of AI and ML20%
  • Fundamentals of generative AI24%
  • Applications of foundation models28%
  • Guidelines for responsible AI14%
  • Security, compliance & governance for AI14%

Ground training at Platzi

Points
6,394
Community answers
26

02 · Mission briefing

Code is just the vehicle

I'm an AI Engineer with 10+ years of experience building software: full-stack platforms, cloud-native backends, event-driven systems, real-time streaming and, today, AI-powered products.

The real job isn't writing code, it's solving problems. Before I build in a new domain I go deep and learn it properly, so I can make engineering decisions I can stand behind.

“The best solutions are always the simplest solutions.”

I still enjoy writing handcrafted code line by line, and I also build AI-guided. Knowing when to use each is part of the job.

Role
AI Engineer
Experience
10+ years
Base
Colombia · Earth
Focus
LLM apps, AI agents, intelligent automation
Architecture
Event-driven, serverless & cloud-native on AWS
Specialties
Streaming protocols, real-time systems, scraping
Mindset
Problems > code · Depth > shortcuts
  1. 01Solve the problem, not the ticket. Understand the why before writing the how.
  2. 02Master the domain first. Real expertise beats guesswork.
  3. 03Simple scales. Clean architecture outlasts clever hacks.
  4. 04Measure, then optimize. Performance is a feature when data drives it.
  5. 05Craft meets copilot. Handcrafted where precision matters, AI-guided where speed matters.

03 · Mission capabilities

Onboard systems

MOD-01

AI Engineering

  • LLM-powered applications & integrations
  • AI agents & tool-using workflows
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering & evaluation
  • AI-driven business process automation

MOD-02

Cloud & Event-Driven

  • Event-Driven Architecture on AWS
  • Lambda, API Gateway, Step Functions
  • SQS, SNS, EventBridge & Kafka
  • Containers on ECS / Fargate
  • Observable cloud-native backends

MOD-03

Streaming & Real-Time

  • Live & on-demand media streaming
  • WebRTC, HLS, MPEG-DASH, RTMP, RTSP, SRT
  • Real-time communication with WebSockets
  • Data pipelines with Kafka & Kinesis
  • Low-latency, high-throughput delivery

MOD-04

Software Engineering

  • Full-stack web development
  • Backend architecture & API design
  • Microservices & modular systems
  • Background jobs & automation pipelines
  • High-performance web scraping

04 · Tech constellation

Stars I navigate by

Five clusters, one sky. Dashed lines are the bridges I build between them.

Languages & frameworks

Python · TypeScript · JavaScript · C · C++ · C# · Go · Java · Node.js · NestJS · React

AWS

Lambda · API Gateway · EventBridge · SQS · SNS · Step Functions · Kinesis · DynamoDB · S3 · ECS/Fargate · EC2 · CloudFront · CloudWatch

Data & DevOps

PostgreSQL · MongoDB · Redis · DynamoDB · Kafka · RabbitMQ · Docker · Linux · Git · GitHub Actions · Nginx

AI & ML

Claude · OpenAI · LangChain · Hugging Face · PyTorch · Jupyter

Streaming

WebRTC · HLS · MPEG-DASH · RTMP · RTSP · SRT · WebSockets

05 · Selected missions

Mission archive

M-01

AI Systems

LLM-based tools and agents that automate real business workflows end-to-end.

M-02

Streaming Platforms

Live and on-demand video delivery across WebRTC, HLS, RTMP and SRT.

M-03

Event-Driven Backends

Decoupled, serverless architectures on AWS built around events and queues.

M-04

Scraping & Automation

Custom frameworks for extracting data from dynamic web environments.

M-05

NestJS Boilerplates

Structured backend starters for scalable, enterprise-grade applications.

M-06

Full-Stack Platforms

Production systems with React/TypeScript frontends and Node/NestJS backends.

Beyond the code

AI reader. Transformers, attention mechanisms and the theory behind modern models.

Math enthusiast. Mathematical models are how I understand complex systems.

Complex algorithms. Turning elegant theory into efficient code.

Reverse engineering. Taking software apart to see how it works, games especially.

06 · Origin log

First launch

The black box from this site's first version, recovered intact.

cat ~/origin/profile.log

Juan David's avatar

Juan David

Javascript Ninja

Lived all my life on the top of mount Fuji, learning the way to be a Ninja Dev.

ls ~/origin/skills

python
A markov chain: predict text
nodejs
Many projects: Libraries npm, APIs, sites, tutorials...
javascript
Almost everything i could imagine
github
My favorite social network
npm
Many libraries for NodeJS
linux
My favorite SO
terminal
My best friend

cat ~/origin/profiles

NPM Github Youtube

07 · Open comms

Let's solve something hard

Open to collaborations, AI projects and conversations about difficult problems.

Transmit to e.juandav@gmail.com