01 / BUILD
Applied AI Systems
Production-grade AI solutions, from multi-agent orchestration and LLM pipelines to robust backend systems.
SYSTEM ARCHITECTURE & CAPABILITIES
Skills & Technology Stack
A living, interconnected map of frameworks, models, backend architectures, and engineering domains I use to build production AI systems.
INTERACTIVE TOPOLOGY
Explore by Technology & Domain
Drag nodes to explore connections · Click project nodes to view implementation details.
Project
Framework / Model
Domain
CORE TOOLKIT
Technologies & Competencies
Categorized by architectural layer and practical application.
Backend & APIs
FastAPI
REST API Design
PostgreSQL
Supabase
SQLModel
Redis
Cloud & Infrastructure
Docker
AWS S3
Azure AI Foundry
DigitalOcean
Cloudflare R2
CI/CD
Languages
Python
SQL
TypeScript (Next.js)
LLM Engineering
RAG Pipeline Design
LLM Orchestration
Prompt Engineering
LangChain
LangGraph
CrewAI
Multi-tenant Architecture
RBAC/ABAC
Models & AI
OpenAI
Google Gemini
Azure OpenAI
Hugging Face Transformers
BERT
TensorFlow
Scikit-learn
YOLOv8
Monitoring & Quality
Prometheus
Grafana
Model Evaluation Metrics
Performance Profiling
Data Privacy
Documentation
Vector & Retrieval
Pinecone
FAISS
Milvus
Chroma
pgvector
Hybrid Retrieval (RRF)
Cross-Encoder Reranking
BGE-M3
FlashRank
Version Control
Git
GitHub
APPLIED IMPACT
How I Can Help Your Team
Focused engagement areas for organizations building or scaling AI products.
02 / OPTIMIZE
RAG Architecture
Grounded semantic retrieval, vector index optimization, evaluations, and caching that make AI answers reliable.
03 / ADVISE
Technical Direction
Transforming ambiguous business challenges into scalable, cost-efficient, and maintainable engineering architectures.
Have a project or engineering role in mind?
Let's discuss how we can turn your AI vision into a dependable production reality.