01 / ADVISE
AI Strategy & Technical Direction
Turn an AI idea, business problem, or technical uncertainty into a practical path forward — from opportunity identification to scalable, cost-conscious roadmaps.
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 / BUILD
Applied AI Systems
Turn a proven AI use case into a dependable system — from RAG applications and LLM-powered workflows to multi-agent systems and scalable backend architectures.
03 / OPTIMIZE
RAG & AI System Optimization
Diagnose retrieval, grounding, evaluation, and reliability problems so your AI system produces more useful and dependable results.
04 / ENABLE
AI Enablement & Team Training
Bespoke training built around your team's roles, workflows, and AI maturity — moving people from using AI tools to using them effectively and responsibly.
Have an AI challenge, project, or capability gap?
Whether you're trying to decide what to build, improve an existing system, build something new, or equip your team, let's discuss what would make the most sense for your organization.