Preetam Ramdhave
Forward Deployed Engineer · Seattle, WA

Preetam Ramdhave

I deploy AI where it has to work.

Production deployments inside real customer environments. Claude API, AWS, full-stack. Based in Seattle.

15,247 prescriptions processed4 production AI systems shippedFull-stack · Agentic AI · AWS

Selected Outcomes — Real Customers, Real Numbers

17+
Years

Shipping production systems end-to-end — UK enterprise clients, Fortune 500, solo founder products.

60–80%
Reduction

Manual review effort eliminated via the org's first production agentic AI workflow.

15,000+
PDFs

Handwritten prescriptions processed in 48 hours at a charitable healthcare event.

Awards

"Delighted Customer" awards (2012–2014) voted by UK enterprise clients for direct impact.

Featured Deployments

Full-Stack · Agentic AI · Healthcare · Ed-Tech

View all deployments
Agentic AI Document Review screenshot
Enterprise AI

Agentic AI Document Review

60–80% effort reduction

First-of-its-kind production agentic AI workflow for a Fortune 500 enterprise. Embedded with the document review team, identified that reviewers were burning significant hours per week on repetitive policy checks. Designed and shipped an event-driven pipeline: API Gateway → Step Functions → parallel Lambda tools (PDF parsing, chunk planning, classification, policy validation) → RAG grounding on AWS Kendra GenAI Index. Every output traceable via correlation IDs for compliance audits.

AWS BedrockStep FunctionsKendra GenAIRAGLambdaPython
Open Source · Pro Bono
OmmSai — Healthcare AI Pipeline

OmmSai — Healthcare AI Pipeline

15K PDFs · 20× faster

Open-source Python pipeline I donated to a charitable healthcare event that needed to digitize 15,000+ handwritten prescription PDFs in 48 hours. Built with Claude Sonnet (Anthropic API), Google Drive API, ThreadPoolExecutor concurrency, and a Tkinter operator GUI so non-engineer volunteers could run it on any Windows laptop. Released publicly so other charities and clinics can reuse the pipeline.

PythonClaude APIGoogle Drive APIThreadPoolExecutorTkinter
ScholarPath screenshot
Ed-Tech

ScholarPath

Live in production

Ed-tech platform for Maharashtra MSCE scholarship exam prep, built from a gap discovered by embedding with parents and exam coordinators in the scholarship ecosystem. Parent-as-gateway model with child profiles, tiered access, and 124-test end-to-end testing plan. Generically extensible exam-category configuration enables rapid expansion to new exam verticals. Supabase MCP integration with Claude Code for AI-assisted delivery.

ReactTypeScriptFastAPISupabaseRazorpayMCP
JapaApp screenshot
Spiritual-Tech

JapaApp

Live in production

Spiritual mantra-tracking PWA built for practitioners of Vedic disciplines. Originally architected on AWS (Lambda, RDS Proxy, Cognito JWT, SAM) before owning the platform-migration decision to Firebase. Implemented global admin via Firebase Custom Claims and Razorpay subscription/donation flow with tiered pricing.

React 18TypeScriptFirebaseFramer MotionRazorpayPWA

How I Work

The Forward Deployed Engineer motion — same pattern across UK enterprise clients, Fortune 500, and solo founder products.

Full story
01

Embed

Sit with the customer — external client, internal department, or end user. Watch how they actually work.

02

Discover

Find the real problem. It is almost never the stated problem.

03

Design

Architect the solution that fits the customer's reality — their data, their systems, their team, their security posture.

04

Ship

Build it end-to-end. Backend, frontend, infra, security, observability. No handoffs.

05

Operate & Iterate

Stay with it after launch. Watch the customer use it. Iterate on what the field teaches.

06

Generalize

Turn one customer's win into a reusable pattern the rest of the org can leverage.

Recent Writing

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Field Notes

Field notes from production AI deployments. Monthly. Short.

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