UPSC Zone AI
Founder and Architect of an AI learning platform using vector-based RAG, grounded answers, source attribution, semantic retrieval and Google Cloud deployment.
Open to senior leadership roles
AI, Data &
Platform Lead.
I turn ambitious AI ideas into governed, production-ready platforms — drawing on 20 years of engineering, architecture and delivery experience.
20 YEARS
BUILDING
SYSTEMS
BUILDING
SYSTEMS
01 / Profile
Architecture leadership with an engineer’s grounding.
I lead the design and delivery of AI, data and cloud platforms: defining technical direction, aligning stakeholders, reducing risk and helping teams ship systems that last. My background spans backend engineering, enterprise integration, data platforms and applied AI.
20years in technology
AIproduction first
AWScertified practitioner
UKBasingstoke / London
02 / Selected work
Platforms built around real operational needs.
Multi-provider AI Gateway
A governed integration layer for model routing, provider abstraction, policy enforcement and operational visibility across LLM services.
Data Manager
An ingestion, validation, transformation and publishing platform that maintains curated datasets and feeds reliable data to downstream products.
Intelligent Data Acquisition
Resilient multi-source acquisition pipelines with browser automation, normalisation, retries, monitoring and quality controls.
Document Intelligence & RAG
Multimodal question answering across documents, images and web content using vector retrieval, hybrid search, OCR and cited responses.
Enterprise APIs & Integration
Cloud-native APIs, service architectures and integration programmes designed for scale, security and maintainable delivery.
03 / Engineering practice
AI-native delivery, with human accountability.
I use Claude Code and Codex as engineering collaborators throughout discovery, architecture, implementation, testing and review. The tools accelerate delivery; judgement, security and production quality remain mine.
Frame the systemOutcomes, constraints, risks and architecture.
Build with guardrailsReusable context, standards and verification loops.
Review criticallyTests, security, observability and maintainability.
Operate responsiblyMeasure results and improve from real usage.
04 / Technology
A broad toolkit, selected by context.
PythonFastAPINode.jsLaravelLLMsRAGVector DatabasesLangChainMCPAWSGoogle CloudDockerKubernetesCI/CDData EngineeringObservability
05 / Connect