AI Platform Engineering
.NET Core · AWS · Kubernetes
Distributed Systems · MCP Servers · Agentic Workflows
I'm Yash Shah, an AI platform engineer based in the Chicago area. I ship distributed systems on .NET and AWS, MCP-powered workflows, and live fintech products.
Three areas where my work comes together — enterprise platforms, fintech products, and AI-assisted delivery.
Cloud-native APIs and integrations
Backend platforms connecting products, partners, and enterprise workflows — reliable APIs, authorization, event-driven systems, and maintainable cloud architecture.
Personal fintech product
Live platform for Indian investors — market dashboards, research tools, calculators, education, subscriptions, and AI-assisted finance Q&A.
Agentic SDLC acceleration with guardrails
Practical AI workflows for coding support, test scaffolding, triage, documentation, and developer productivity — with human review and clear boundaries.
Four areas where engineering judgment, finance context, and delivery discipline compound.
APIs, integrations, middleware, and distributed systems designed for reliability, scalability, and operational clarity.
Products and workflows shaped by finance knowledge: market data, valuation, portfolio tools, investment research, and decision support.
AI workflows that help engineers move faster without removing engineering judgment, review, or accountability.
Architecture, mentoring, cross-team collaboration, standards, and delivery across complex systems.
Proof points — live product, platform engineering, AI workflows, and operational automation.
Public fintech platform
A live investor research platform combining market data, calculators, education, subscriptions, and AI-assisted Q&A.
View on Projects →Professional platform engineering
Daily Kubernetes batch job aggregating user data into Couchbase cohorts, surfaced via API for in-app CTA banners.
View on Projects →Developer productivity platform
MCP-based workflows, coding agents, test scaffolding, triage support, and AI adoption patterns for engineering teams.
View on Projects →Financial operations automation
Automated account onboarding workflows that reduced manual operational effort across investment management systems.
View on Projects →A compact view of where I've spent the last decade-plus. Full detail on the Experience page.
Chamberlain Group
Cloud platforms, enterprise integrations, partner APIs, and AI/DevEx workflows.
Morningstar
Financial technology platforms, AWS modernization, TAMP automation, and data workflows.
Kin + Carta
Cloud migration and domain-driven microservices for enterprise clients.
Blanket Finance
Live fintech research platform combining finance, data, and AI.
Published articles on innovation, agile delivery, and AI architecture — plus drafts in progress.
How to move past "that's not how we do it here" — reinvent processes, share business problems openly, make failure acceptable, balance accountability with experimentation, and keep an open mind for ideas from anywhere.
Before you dial a customer care number, Google Phone already analyzed the business, estimated wait time, and surfaced busy-hour patterns — practical AI embedded in everyday workflows.
MCP turns AI from a chat interface into a connected system that can interact with tools, data, and workflows under explicit authorization boundaries.
Cloud-native, data-heavy, AI-assisted tooling — full breakdown on Stack.
View Stack →