Applied Artificial Intelligence
Workflows and knowledge systems, with attention to reliability and human oversight.
AgentsEvaluationOversight
Yash Shah · Chicago, Illinois
Engineering Intelligent Systemsfor Finance and Enterprise.
Applied AI · Financial Technology · Cloud-Native Systems
I build enterprise software, intelligent applications, and financial technology platforms. My work combines over 11 years of software engineering experience with graduate education in finance and information technology.
- 11+ Years in Software Engineering
- MS Finance
- MS Information Technology
Areas of Focus
Exploring where intelligent software, financial systems, and reliable infrastructure meet.
Selected Impact
Selected outcomes from enterprise software and financial technology projects.
$1M+
Reported annual infrastructure cost reduction through cloud modernization.
$300K
Reported annual operational savings from automated financial platform integration.
~25 Hours/Day
Manual onboarding effort reduced through workflow automation.
Research & Exploration
One investigation in development, plus the interests around it.
Research development
Market Efficiency in the Age of Artificial Intelligence
A developing question about whether wider access to AI changes what markets already price, once transaction costs and evaluation are taken seriously.
Research interest
Reliable Enterprise AI Systems
How AI agents keep organizational context, and where a person still has to approve the work.
Research interest
Cloud Infrastructure for Intelligent Applications
When local inference is worth the cost, and what breaks when retrieval systems get large.
Selected Engineering Work
Systems and products built to solve practical technical and business problems.
Cloud infrastructure
Investment Platform Cloud Modernization
Investment-management workloads moved to AWS, with infrastructure automation and shorter deployments.
$1M+ in reported annual infrastructure cost reduction.
Applied AI · Independent project
.NET Engineering Agent
Built a repository-aware AI agent that can inspect .NET projects, plan and implement changes, execute builds and tests, and review code modifications.
Demonstrates controlled tool execution, agent orchestration, and automated engineering validation.
GitHubIndependent product
Blanket Finance
A past financial research platform for Indian equities, funds, and portfolio research.
Built end to end. No longer a live product.
Publications & Writing
Research, technical analysis, and perspectives on software engineering, AI, and financial markets.
Applied AI9 min read2026
Your AI Coding Assistant Shouldn't Be Your Company's Knowledge Layer
Why does every AI coding assistant rediscover how your company works? A platform-engineering build guide for financial services on Context as a Service — enterprise context plane, MCP gateway, and organizational truth plus local branch context for Cursor, Copilot, and Claude Code.
Read →
Cloud & Distributed Systems11 min read2026
We Moved Computing to the Cloud. Could AI Bring It Back?
New local AI computers are powerful enough to share across a team. Here is when owning that capacity can make sense, when the cloud still should, and the managed-infrastructure business in between.
Read →
Applied AI10 min read2026
From AI Model Consumer to AI Application Builder
A practical guide for .NET engineers moving from chat prompts to RAG, MCP servers, agents, and agentic workflows — with security patterns, architecture diagrams, and platform mental models.
Read →Let's Connect on AI, Finance, and Software Engineering.
I'm open to thoughtful conversations about software architecture, applied AI, financial technology, research collaboration, and emerging engineering ideas.