Senior AI & Data Engineer · AI & Data Solutions Architect

AI & Data architecture with hands-on engineering.

I help technology consultancies and mid-market or enterprise teams in complex environments design and implement AI and data solutions—from architecture and governance to data platforms, Microsoft Fabric and hands-on engineering.

01 // ARCHITECTURAL OFFERINGS

Core Engagement Practices

01 // AI & DATA2-4 WEEKS

Enterprise RAG & Context Architectures

Production-grade hybrid vector architectures, multi-stage retrieval, reranking pipelines, and guardrails for high-stakes enterprise LLM applications.

KEY DELIVERABLES
  • Sub-100ms hybrid vector-keyword retrieval
  • Guardrails, evaluation pipelines & hallucination checks
  • Production-ready vector database topology
PythonVector DBsLangChainLlamaIndex
02 // AI AGENTS3-6 WEEKS

Autonomous Multi-Agent Workflows

Orchestrated agent networks for complex multi-step reasoning, tool execution, and state management in enterprise workflows.

KEY DELIVERABLES
  • State-machine agent control with LangGraph
  • Deterministic tool execution & error fallback
  • Distributed telemetry with OpenTelemetry
LangGraphAutogenOpenAI APIFastAPI
03 // DATA INFRA4-8 WEEKS

Modern Data Platforms & Fabric

Unified Lakehouse, OneLake, and Data Mesh architectures designed to eliminate silos and accelerate enterprise AI readiness.

KEY DELIVERABLES
  • Microsoft Fabric & OneLake Architecture
  • Medallion (Bronze/Silver/Gold) PySpark pipelines
  • Purview data governance & lineage automation
MS FabricPySparkDelta LakeAWS Glue
04 // STREAMING3-6 WEEKS

Real-Time Streaming & Event Data

Low-latency event processing pipelines for continuous data ingestion, real-time analytics, and event-driven AI workflows.

KEY DELIVERABLES
  • Kafka / EventHubs event-driven topology
  • Spark Streaming sub-second micro-batching
  • Automated dead-letter-queue error handling
Apache KafkaSpark StreamingAWS LambdaKinesis
05 // ADVISORYMONTHLY

Fractional AI / Chief Architect Advisory

Strategic architecture oversight for engineering leadership. Guidance on vendor selection, RFC reviews, cost control, and AI roadmap execution.

KEY DELIVERABLES
  • Ongoing RFC & architecture reviews
  • LLM/Data infrastructure FinOps & cost audit
  • Engineering team capability mentoring
GenAI RoadmapFinOpsArchitecture Governance
06 // POC SPRINT2-3 WEEKS

High-Stakes Rapid PoC Sprints

Rapid prototyping to de-risk ambitious AI or Data initiatives. Build production-grade working prototypes before committing full budgets.

KEY DELIVERABLES
  • Production-ready functional proof-of-concept
  • Latency, cost & accuracy benchmark analysis
  • Clear production handover documentation
Fast PoCPythonDockerCloud Deploy
02 // ENGAGEMENT FRAMEWORKS

Structured Models & Transparent Commitments

Technical Advisory & Governance

For leaders needing ongoing architectural guidance, RFC reviews, and vendor evaluation.

Cost-Retained Slot →

Embedded Hands-On PoC Sprint

Embedded directly as Lead Architect to demonstrate a fully working production-grade proof of concept.

Reserve PoC Sprint →
NEED AN INDEPENDENT ARCHITECTURE REVIEW?

Need an Independent Architecture Review?

Evaluate your ongoing GenAI platform, OneLake migration, or AI agent system against a production benchmark. Receive a 72-hour gap analysis report.

Discuss an Architecture Review12-hour Architect Response