Rajat Sharma profile photo

Rajat Sharma

Builder

rajatevencodes@gmail.com
Total portfolio visitors:--
Book an intro call
Total portfolio visitors:--
Book an intro call

Building business-aligned solutions, from requirement to deployment.

Subscribe to the newsletter

AI Software Engineer owning the complete development lifecycle: frontend design, backend architecture, DevOps automation, and AI-powered features via RAG and agentic workflows.

I transform ambiguous requirements into scalable, secure products that drive measurable business outcomes.

My process: problem clarity → system design → component breakdown → detailed plan → build with AI tools → rigorous review.

Writing

All posts
image.png

notion-sample-page-2

Every article opens with a paragraph that states what the reader will get. No heading above it — the page title already did that job.

Aug 2026·2 min read

notion-sample-page

This is a notion sample Page.

Jul 2026·2 min read

Every block in the portability contract

A fixture post that uses every block the portability contract allows, and nothing else. Delete it once a real Notion export has been imported.

Jul 2026·2 min read

Experience

Stealth Mode

Personal

April 2026 — Present · 4 mos

Cooking something new. Learning, exploring, and understanding the market. Getting ready for the upcoming future.

Generative AI Engineer

Full-time
AIQwipService-based Company

Jan 2026 — April 2026 · 3 mos

AskEagle

Document Q&A platform for pharmaceutical teams — RAG pipeline with citation-backed answers

Ghost Agent

AI customer service agent with automated prompt optimization driven by rep feedback

Real CX

Voice AI agent for real estate inbound calls — lead qualification, scoring, and CRM sync

Personal Projects

DeployX screenshot

DeployX

Demo Video Available

Built to learn how deployment platforms work end-to-end — from git clone to live URL — by building one from scratch on AWS.

ReactViteExpress.jsSocket.IODocker+4
View Project
Multi-Modal RAG screenshot

Multi-Modal RAG

Demo Video Available

Built to learn how production RAG pipelines work — multi-modal ingestion, hybrid retrieval, agentic generation, and evaluation — by building one from scratch.

FastAPICeleryRedisPostgreSQLPGvector+9
View Project

Made with ♥ by Rajat Sharma