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LIVE · DELHI · --:--:--

Saketh Ram

$

I build and ship AI-first products end-to-end for early-stage startups.

LangGraph
RAG pipelines
AI agents
FastAPI
Next.js
Prisma
Postgres
Vector DBs
Anthropic Claude
React Native
0 → 1 full-stack
TypeScript
LangGraph
RAG pipelines
AI agents
FastAPI
Next.js
Prisma
Postgres
Vector DBs
Anthropic Claude
React Native
0 → 1 full-stack
TypeScript
LangGraph
RAG pipelines
AI agents
FastAPI
Next.js
Prisma
Postgres
Vector DBs
Anthropic Claude
React Native
0 → 1 full-stack
TypeScript
LangGraph
RAG pipelines
AI agents
FastAPI
Next.js
Prisma
Postgres
Vector DBs
Anthropic Claude
React Native
0 → 1 full-stack
TypeScript
LangGraph
RAG pipelines
AI agents
FastAPI
Next.js
Prisma
Postgres
Vector DBs
Anthropic Claude
React Native
0 → 1 full-stack
TypeScript
LangGraph
RAG pipelines
AI agents
FastAPI
Next.js
Prisma
Postgres
Vector DBs
Anthropic Claude
React Native
0 → 1 full-stack
TypeScript
// 01 · who

I ship the AI your roadmap keeps promising.

Founding AI Engineer at Turgon.AI — SF-based, backed by Founder Collective.

5+
0→1 products shipped
Turgon.AI
founding AI engineer
Delhi
IN · UTC+5:30
weeks
idea → production

I work with early-stage founders as their first AI engineer — building agents, RAG systems, and the full-stack plumbing that turns "we should use AI" into features users can actually touch.

// 02 · work05 entries

Case Files

Real products I've shipped — the architecture that held, the bugs I fixed at 2 AM, the trade-offs that mattered.

Turgon's Agentic Web Platform
case / 01

Turgon's Agentic Web Platform

At Turgon.AI, a significant chunk of client data lives behind vendor portals with no API, only a login page and a browser. Instead of fragile, hardcoded Playwright scripts that break on every UI change, the team built an agent-based platform: a FastAPI backend that takes a task (URL, credentials, plain-English objective), runs a Claude-powered browser session via LangGraph, and delivers results to a callback endpoint with files uploaded to S3. The real challenge wasn't making an LLM drive a browser — it was building session memory, conservative write strategies, two different MFA patterns, and startup diagnostics that make it reliable enough to run production workloads unattended.

PythonPlaywrightFastAPILangGraphAWS BedrockAnthropic+2
read case study
Building a Multi-Tenant Club CMS
case / 02

Building a Multi-Tenant Club CMS

As the Founding AI Engineer at Turgon.AI, I architected and built a multi-tenant Club CRM platform from scratch for premium elite clubs. The system manages memberships, events, reservations, payments, and AI-powered analytics across multiple branches. I designed the entire stack — from PostgreSQL schema and 150+ Next.js APIs to a responsive CMS and an AI assistant (Jango AI) that generates real-time insights and charts. The platform replaced manual workflows with a scalable, data-driven infrastructure, powering digital operations end-to-end. This project showcases my ability to own, design, and deliver complex 0→1 SaaS systems with full technical and architectural responsibility.

TypeScriptTailwind CSSReact JSNext JS+6
read case study
The Quorum - Whitelable mobile application
case / 03

The Quorum - Whitelable mobile application

A customizable white-label club app built with React Native, Supabase, and PayU. It features dynamic CMS-driven content, multi-language support, member wallet, event RSVPs, art gallery, and an AI voice assistant for seamless member interactions — offering clubs a complete, branded digital experience.

TypeScriptCSSRedux ToolkitZod+5
read case study
Script Drafter | Turn Topics into Ready-to-Use Scripts
case / 04

Script Drafter | Turn Topics into Ready-to-Use Scripts

Script Drafter is an AI-powered automation platform that generates content scripts from user-provided topics. Users can shortlist ideas, auto-generate structured scripts, and refine them with an interactive editor. Collaboration is built-in with public link sharing and real-time comments, making it easy to co-create and improve content workflows.

TypeScriptTailwind CSSReact JSNext JS+5
read case study
Building Nayora: A Full-Stack Community OS for Engineers
case / 05

Building Nayora: A Full-Stack Community OS for Engineers

A dynamic community platform built with NextJS and Prisma, designed to foster collaboration and learning. It features a user dashboard for sharing resources, a classroom section for exclusive courses, and community threads for interactive discussions. The admin dashboard provides insightful analytics on community engagement. With a focus on education and community bonding, this website empowers members to learn, share, and grow together.

TypeScriptTailwind CSSReact JSNext JS+6
read case study
// 03 · principles05 rules

How I think.

Opinions I've earned shipping software. Each one has a scar behind it.

01SHIP

The backbone lands in week one.

Polish comes after it survives real traffic.

02DEMO ≠ PRODUCT

A demo passes once. A product survives Tuesday at 3 AM.

I build for Tuesday.

03BORING STACK

Postgres, FastAPI, Next.js, Claude.

Tools a junior can still debug a year from now.

04AGENTS WITH BRAKES

Every agent has a kill switch, a cost ceiling, and a retry budget.

Production agents fail gracefully — or they don't ship.

05TYPES ARE THE DOCS

If it compiles, it's specified.

Writing types is writing documentation. The next engineer can read my mind.

// 04 · contactthe door's open

Still here? Let's build something.

response< 24h · weekdays
zoneDelhi · UTC+5:30 · IST
currentlyFounding AI Engineer @ Turgon.AI
best withearly-stage teams · 0→1 AI builds · founding & early engineer roles
// built in delhi·shipped from anywhere— saketh