class Bader:
stack = ["Python", "FastAPI", "Flask", "TypeScript", "NestJS"]
architecture = ["Microservices", "DDD", "Event-Driven", "REST"]
ai_ml = ["PyTorch", "LLMs", "RAG", "Model Serving"]
infra = ["Docker", "Terraform", "Ansible", "Jenkins", "Kubernetes"]
observability = ["Prometheus", "Grafana", "HyperDX"]
niche = ["Distributed Systems", "Drone Backend", "AI Backends"]
available = TrueBackend & Data
AI & Machine Learning
LLMs · RAG · Fine-tuning · LangChain · Vector DBs
Infra & DevOps
Observability
+ HyperDX
Reusable e-commerce backend · FastAPI · Microservices · DDD · Docker
api-gateway · auth · products · orders · payments · notifications
Bringing intelligence into production backends
recommendation-service · semantic-search · llm-gateway · ml-serving
I build simple, scalable, and testable APIs — and I'm bringing AI into them. For companies, labs, and organizations.
