FYAI/ML Engineer
Resume

Skills

Production AI skill map.

A proof-led view of the capabilities I use to design, ship, evaluate, and operate production AI systems.

Core strengths

The three areas where I create the most leverage.

01

Agentic AI systems

Multi-agent orchestration, tool use, routing, memory, evaluation, and human review.

18-agent analytics pipeline 02

RAG + document intelligence

Grounded retrieval, OCR and vision extraction, validation, and workspace isolation.

~97% verified folio baseline 03

Real-time multimodal AI

Speech, telephony, WebRTC vision, streaming APIs, and live model interaction.

Bidirectional voice + tools

Supporting capabilities

A production stack organized by responsibility.

Agentic AI

Orchestration patterns for dependable, inspectable agent workflows.

LLM systemsRAGLangGraphMulti-agent orchestrationTool callingStructured outputsModel routingContext engineering
Used in Data Project Analyzer
Evaluation + Trust

Controls that make model behavior measurable and reviewable.

Agent observabilityAgent tracingOffline evaluationsOnline evaluationsGuardrailsHuman-in-the-loop reviewAudit logsPII handlingCost + latency tracking
Used in QA Evaluation
ML + Retrieval

Retrieval and model foundations for grounded multimodal systems.

PyTorchTransformersYOLOOpenCVOCRSpeech-to-textpgvectorVector retrieval
Used in Premier Nexus
Backend + Real-time

APIs and streaming infrastructure behind responsive AI products.

PythonFastAPIFlaskPydanticSQLAlchemyTypeScriptNext.jsREST APIsWebRTCWebSocketsSSE
Used in Nova Sonic
Data + Delivery

Data engines, testing, and delivery practices for production systems.

PostgreSQLRedisPolarsDuckDBPyArrowDockerPytestPlaywrightGitHub Actions
Used in Data Project Analyzer
Cloud AI

Managed model platforms and cloud services used in shipped workflows.

AWS BedrockAWS AgentCoreAWS Nova SonicAWS TranscribeAWS ConnectAzure AI FoundryAzure OpenAIGoogle Vertex AI
Used across case studies

Enterprise R&D

Platforms explored for enterprise orchestration.

OpenClawEnterprise agent orchestration R&D
AWS AgentCoreAgent runtime, memory & gateway
Hermes AgentAgent skills and workflow R&D
Copilot StudioLow-code agent builder
Amazon Quick SuiteAgentic BI & work assistant

Certifications

Selected AI, cloud, and ML credentials.

AWS Cloud Practitioner Essentials

AWS Training & Certification | 2026

Build Strands Agents with SageMaker AI Models and MLflow

AWS Training & Certification | 2026

Optimizing Foundation Models

AWS Training & Certification | 2025

Essentials of Prompt Engineering

AWS Training & Certification | 2025

Fundamentals of Machine Learning and Artificial Intelligence

AWS Training & Certification | 2025

Claude Code in Action

Anthropic | 2026

Selected toolchain

Production toolchain.

Tools repeatedly used across the case studies above.

LangGraphAWS BedrockAWS AgentCoreFastAPIPostgreSQLpgvectorDockerNext.jsTwilioDeepgramPolarsDuckDB