Selected Work

The work, and what came of it.

Most engagements happen under NDA. These are representative examples — anonymized where required — of the problems organizations bring to me and the outcomes we reach together.

01Cloud Architecture

End-to-End Azure Migration for a 500-Person Engineering Org

Large Enterprise (NDA)

Microsoft AzureCloud MigrationLanding ZonesDevOpsCloud Security

The challenge

A 500-person engineering organization running on aging on-premise infrastructure needed to migrate to Azure with zero downtime, maintaining SOC 2 compliance throughout.

The approach

Designed a phased lift-and-shift to modernize migration strategy using Azure Landing Zones, Hub-and-Spoke networking, and Azure DevOps for orchestration. Led the technical architecture and provided hands-on training for internal teams.

What came of it

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Migration completed in 8 months — 20% ahead of schedule

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40% reduction in infrastructure operating costs

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99.99% availability maintained during migration

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SOC 2 Type II compliance preserved throughout

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Internal team fully self-sufficient post-engagement

02AI Consulting

Enterprise RAG System for Legal Document Intelligence

LegalTech Startup (NDA)

RAG SystemsAzure OpenAILangChainVector SearchGenerative AI

The challenge

A LegalTech startup needed to build a document intelligence system capable of reasoning over thousands of legal documents with high accuracy and explainability.

The approach

Architected a production RAG system using Azure OpenAI, Azure AI Search (hybrid retrieval), and LangChain. Implemented chunking strategy, embedding model selection, and retrieval re-ranking for improved precision.

What came of it

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Query accuracy improved by 85% over keyword search baseline

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Average response time under 2 seconds at scale

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Reduced document review time by 60% for legal teams

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System handles 10,000+ concurrent queries

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Full audit trail for AI-generated responses

03Academic Training

Building an AI & Cloud Curriculum for 3 Technical Universities

State Technical Education Board

Corporate TrainingAI EducationCloud ComputingCurriculum DesignFDP

The challenge

Three technical universities lacked structured curriculum and faculty capability to teach Cloud Computing and AI to their computer science students, resulting in graduates unprepared for industry.

The approach

Designed a comprehensive 2-semester curriculum covering Azure, AWS, Machine Learning, and Generative AI. Delivered a 40-hour Faculty Development Program, set up cloud lab environments, and provided ongoing curriculum support.

What came of it

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3 universities with fully implemented cloud-AI curriculum

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150+ faculty trained across the program

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2,000+ students impacted in the first year

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85% of graduates placed in cloud/AI roles within 6 months

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Program replicated in 5 additional universities

Additional case studies are available under NDA. Reach out to discuss examples relevant to your industry or specific situation.

Let's work together

If you're building something that matters, I'd like to hear about it.

Whether you need to train a team, design a cloud system, adopt AI responsibly, or simply think through a hard technical decision — the first conversation is always free.

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