Sagar Gupta

AI Product Engineer · Full-Stack Engineer · 6+ Years

I build and ship AI-powered product features from idea to production.

RAG · LLM Applications · AI Agents · FastAPI · Python · React · Next.js · React Native

Selected AI Work

Production AI systems I have designed and shipped

AI Document Processing Platform

Turn unstructured documents into structured, searchable records for product workflows.

What I built OCR and LLM extraction pipelines, FastAPI job services, RAG retrieval over document content.

Python · FastAPI · OpenAI · SQLAlchemy · PostgreSQL · Redis

LLM-Powered Backend Services

Production AI APIs with reliable validation, async processing, and quality checks.

What I built OpenAI-backed APIs, structured outputs, Celery pipelines, typed FastAPI endpoints.

Python · FastAPI · OpenAI APIs · Celery · Pydantic · PostgreSQL

AI SaaS Integrations

LLM and RAG features inside live SaaS products — Command Center, HaulGuardr, Lead AI.

What I built Product-integrated RAG, Sheets-to-database sync, Python backends with Alembic migrations.

Python · FastAPI · RAG · Alembic · Google Sheets

What I Build

Capabilities for product teams shipping AI

RAG & Knowledge Systems

Retrieval pipelines, vector search, and document grounding for product features that need accurate context.

LLM Applications

Structured outputs, prompt orchestration, and production workflows on OpenAI-backed services.

AI Agents & Workflows

Async jobs and multi-step processing for OCR, extraction, and operational automation.

AI Backend & APIs

FastAPI services with Pydantic, SQLAlchemy, Alembic, Redis, and PostgreSQL for durable AI backends.

AI Product Integration

Embedding LLM and RAG features into existing SaaS products and operator workflows.

Production Experience

Shipped product work beyond AI systems

Medidek

Healthcare booking

Led a 5-person team as backend developer and tech lead. Worked with React Native/frontend engineers. Managed AWS deployments using EC2, S3 and CloudFront.

ZaoCabs

Taxi & trip booking

Built rider and driver React Native applications and Next.js admin panel. Implemented booking flows, in-app chat, commission logic and payment operations.

Ays Pro

B2B hotel & HR

Led a 6-person team. Designed permission-based access, HR/staff management, hotel operations and multi-status task assignment. Owned backend development, deployment, code reviews and client meetings.

BttrBuild

Real estate

Built React Native applications and website integration for property listing, investor buy-in and initial payments.

Fliqrai

Instagram automation

Built Next.js/TypeScript dashboard. Implemented Meta webhooks and automated DMs triggered by keyword-matched Instagram comments.

Saara

Realtime multiplayer chess

Built backend and mobile application using WebSockets and Redis pub/sub. Implemented real-time gameplay synchronization.

Engineering Approach

How I take AI features to production

  1. UnderstandClarify the product problem, constraints, and success criteria.
  2. DesignShape the architecture, data flow, and integration boundaries.
  3. BuildImplement services, models, and interfaces with typed, maintainable code.
  4. IntegrateConnect AI systems into the product, APIs, and operator workflows.
  5. ShipDeploy, monitor, and harden the feature for production use.

Experience

Leadership and delivery across product teams

Technical leadership

Experience leading teams of 5–6 engineers across backend, mobile, and frontend delivery — including Medidek (5-person team) and Ays Pro (6-person team) — with ownership of architecture, code reviews, deployment, and stakeholder communication.

AI product engineering

Built and shipped OCR pipelines, RAG systems, vector search, LLM APIs, and SaaS AI integrations using FastAPI, SQLAlchemy, Alembic, Pydantic, OpenAI APIs, Redis, PostgreSQL, Cursor, Claude Code, and MCP.

Full-stack product delivery

6+ years of software engineering across MERN stack, React, Next.js, React Native, Node.js, Python backends, AWS, Docker, and GitHub Actions — shipping production applications in healthcare, mobility, hospitality, real estate, and SaaS.

Tech Stack

Tools I use to ship

AI

LLM workflows · RAG · OCR pipelines · Vector search · OpenAI APIs · AI Agents · Cursor · Claude Code · MCP

Backend

Python · FastAPI · SQLAlchemy · Alembic · Pydantic · Celery · Node.js

Frontend

React · Next.js · TypeScript · JavaScript

Mobile

React Native

Data

PostgreSQL · Redis · MongoDB · SQLAlchemy · Alembic

Cloud & DevOps

AWS · Docker · GitHub Actions

About

Engineer who owns the path from idea to production

I am an AI Product Engineer and Full-Stack Engineer with 6+ years of software engineering experience across full-stack product delivery, Python backend development, and technical leadership.

I build production-ready AI features — RAG, LLM applications, OCR pipelines, vector search, and FastAPI services — and integrate them into real products. I also ship with React, Next.js, React Native, and the MERN stack, and lead teams of 5–6 engineers through design, implementation, and release.

Have an AI feature you need to ship?

I help startups and product teams build and integrate production-ready AI features.

Start a conversation

sagarguptagupta881@gmail.com