AI & Data Engineer

I build production-grade AI & Data systems that scale.

5 years building real-time data infrastructure and AI pipelines at scale — Kafka, Flink, RAG systems, and cloud-native deployments on AWS and GCP.

Trusted technology stack

Next.jsKafkaPythonAWSTypeScriptPostgreSQL

Featured Work

Projects that delivered measurable impact

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High Impact
I Shipped a Live AI Agent SaaS in 4 Weeks Using Azure Container Apps — Here's the Free, BYOK Architecture

How I built a free platform that spins up personal AI agents in under 2 minutes using Azure Container Apps and BYOK. Spin up, do your work, pause, resume — your context stays intact.

About Me

I'm Raushan — 5 years building real-time data infrastructure and AI pipelines at scale.

Real-Time Data Systems

Build streaming architectures with Kafka and Flink that process millions of events per day with sub-100ms latency. From data ingestion to real-time analytics, I create pipelines that scale.

AI & RAG Systems

Ship production LLM applications with RAG pipelines, vector databases, and agent frameworks. I build AI systems that are reliable, observable, and actually work in production.

Cloud Infrastructure

Deploy fault-tolerant systems on AWS and GCP using Terraform, Kubernetes, and serverless architectures. I create infrastructure that is resilient, cost-efficient, and easy to maintain.

Background

I've spent the last 5 years building real-time data infrastructure and AI pipelines at scale. From Kafka streaming systems processing millions of events per day to RAG systems serving AI responses in milliseconds, I've shipped systems that power critical business operations.

Currently focused on AI engineering — building RAG systems, LLM-powered agents, and cloud-native deployments on AWS and GCP. I believe the best AI products combine sophisticated models with pragmatic engineering.

Track Record

30M+

Events/day processed in production

Zero downtime

Full database migration, solo

90%

Reduction in debugging time

40%

Productivity boost via RAG system

Previously built data infrastructure at startups and enterprises — real-time analytics at 100ms, streaming systems at Confluent, and ML pipelines at ZS and TCS.

Get in Touch

Have a question or want to connect? Feel free to reach out.