Technical Competencies & Architectural Taxonomy
A structured breakdown of autonomous agent frameworks, distributed backend architectures, cloud MLOps, and frontend design systems engineered by Sandy across 9+ years of production delivery.
Certifications & Official Credentials
AWS Certified AI Practitioner (AIF-C01)
Amazon Web Services (AWS)
Machine Learning Specialization
DeepLearning.AI & Stanford University
Introduction to Artificial Intelligence
Google / Coursera
Start Writing Prompts like a Pro
Google / Coursera
SQL (Advanced & Intermediate)
HackerRank
Python (Proficiency)
HackerRank
Core Domains & Proficiency Taxonomy
Tools, frameworks, and architectural paradigms mastered across 9+ years of engineering.
Generative AI & Agentic Systems
- Multi-Agent Orchestration (LangChain, LangGraph, AutoGen, CrewAI)
- Retrieval-Augmented Generation (RAG) & Vector Databases (Pinecone, ChromaDB)
- Model Evaluation & Hallucination Audits (Ragas, DeepEval)
- Advanced Prompt Engineering (Chain-of-Thought, Few-Shot, ReAct)
- Local LLM Deployment & Hardware Profiling (Ollama, vLLM)
- Model APIs (Azure OpenAI, AWS Bedrock, Claude 3.5, GPT-4o, Hugging Face)
Backend & Systems Architecture
- Python (FastAPI, AsyncIO, Celery, Streamlit)
- Node.js, Express & TypeScript
- PostgreSQL, pgvector, MongoDB & Redis Caching
- Streaming Response APIs & WebSockets
- RESTful API Design & OpenAPI Documentation
- High-Throughput Microservice Architecture
Cloud, DevOps & MLOps
- Docker Containerization & Kubernetes
- AWS (Bedrock, SageMaker, EC2, S3, ECS)
- Google Cloud Platform (GCP Vertex AI, Cloud Run)
- CI/CD Pipelines (GitHub Actions, Jenkins)
- n8n Automation & API Integration
- Linux Systems Administration & Shell Scripting
Frontend, Visualization & UX
- TypeScript & Modern JavaScript (ESNext)
- React.js & Next.js (App Router, Server Components)
- Tailwind CSS & Editorial Design Systems
- Data Visualization (Plotly, Streamlit, GeoPandas, Canvas)
- Framer Motion & Micro-interactions
- Human-Centered AI Interface Design
Architectural Tenets & Delivery Principles
Zero-Hallucination Guardrails
Every production agent is constrained with strict Pydantic schemas, Chain-of-Thought validation, and automated Ragas hallucination benchmarks.
Hardware-Aware AI Profiling
Matching quantization algorithms (Q4_K_M, Q8_0) directly with available GPU VRAM and memory bandwidth to eliminate OOM runtime failures.
High-Signal Context Density
Pruning irrelevant metadata, stripping binary clutter, and optimizing context windows to maximize LLM reasoning bandwidth.