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07Akashh/README.md

Rahul Kumar

Backend-Focused Software Engineer β€’ AI-Native Systems β€’ Distributed Architectures β€’ Product Engineering




πŸ’« 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

πŸš€ 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

πŸ› οΈ Tech Stack

Languages & Runtime


Frontend & Mobile


Backend & Databases


Cloud β€’ DevOps β€’ CI/CD


AI Engineering & Developer Tools


Tools & Workflow


πŸš€ 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

πŸ“‘ 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

πŸŽ“ 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


πŸ“Š GitHub Analytics


πŸ—οΈ Engineering Domains

Backend Engineering        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Distributed Systems        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
AI Workflow Engineering    β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
System Design              β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Cloud & Infrastructure     β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Real-Time Architectures    β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Mobile Engineering         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ

🌍 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.

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

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