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Rahul Kumar 07Akashh

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Backend-Focused Software Engineer building AI-native systems, distributed architectures, and scalable backend platforms using Node.js, TypeScript, AWS & modern
3 followers · 3 following
  • https://www.rahulkr.me/
  • in/rahulksoftdev
  • https://www.leetcode.com/rahulksoftdev/

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07Akashh/README.md

Rahul Kumar

Backend-Focused Software Engineer • AI-Native Systems • Distributed Architectures • Product Engineering




💫 About Me

name: Rahul Kumar
role: Backend-Focused Software Engineer

specialization:
  - Distributed Systems
  - AI-Native Applications
  - Backend Architecture
  - Event-Driven Systems
  - RAG Pipelines
  - High-Concurrency Workflows
  - Product Engineering

currently_building:
  - VidyaSethu
  - E2E Advanced Communication Platform
  - AI-native backend systems
  - Microservice-based infrastructures
  - Real-time communication architectures

experience:
  - Processed 1M+ records
  - Built production AI systems
  - Delivered MVPs under aggressive timelines
  - Architected scalable backend workflows
  - Worked across backend, infra, and product engineering

mindset:
  - Build fast
  - Own systems end-to-end
  - Optimize for scalability
  - Ship production-ready systems

🚀 Current Engineering Focus

🧠 AI Engineering

  • RAG Pipelines
  • LangChain
  • Vector Search
  • Prompt Engineering
  • AI Automations
  • AI Workflow Orchestration
  • Agentic Workflows
  • AI-assisted Development

⚡ Backend & Infrastructure

  • Distributed Systems
  • Event-Driven Architecture
  • Microservices
  • High-Concurrency Systems
  • Real-Time Communication
  • Scalable APIs
  • System Design
  • Backend Optimization

🛠️ Tech Stack

Languages & Runtime


Frontend & Mobile


Backend & Databases


Cloud • DevOps • CI/CD


AI Engineering & Developer Tools


Tools & Workflow


🚀 Featured Projects

🧠 Warta AI

AI conversational platform with contextual memory and intelligent orchestration.

Highlights

  • Multi-turn memory system
  • Vector-based context retrieval
  • Structured prompt workflows
  • AI orchestration backend

Stack

Node.js LangChain Pinecone

☁️ Distributed Cloud Storage

Scalable distributed storage infrastructure with RBAC and real-time uploads.

Highlights

  • Chunked uploads
  • Distributed backend services
  • Redis optimization
  • Large-scale file workflows

Stack

MERN Redis Socket.IO AWS

📡 E2E Communication Platform

Microservice-based communication architecture with scalable real-time systems.

Highlights

  • Real-time messaging
  • Event-driven workflows
  • Distributed communication services
  • Scalable architecture

Stack

Node.js Microservices Redis

🎓 VidyaSethu

Modern scalable educational platform focused on infrastructure and workflow optimization.

Highlights

  • AI-native architecture
  • Scalable backend workflows
  • Product engineering
  • Modular system design

Stack

Next.js Node.js MongoDB


📊 GitHub Analytics


🏗️ Engineering Domains

Backend Engineering        ████████████████████████
Distributed Systems        ██████████████████████
AI Workflow Engineering    ████████████████████
System Design              ███████████████████
Cloud & Infrastructure     █████████████████
Real-Time Architectures    ████████████████
Mobile Engineering         ██████████████

🌍 Open To

  • AI-native startups
  • Founding engineer roles
  • Backend engineering
  • Distributed systems engineering
  • Product engineering
  • Platform engineering
  • AI workflow automation systems

⚡ Engineering Philosophy

Build systems that solve real problems.
Prioritize execution over noise.
Own infrastructure end-to-end.
Use AI as leverage, not dependency.
Design for scalability from day one.
Ship fast. Iterate faster.

🚀 Building scalable systems, AI-native workflows, and production-ready platforms.

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