8000 TheCBKM (Rajaram Joshi) · GitHub
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Working from home, Allways available
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Working from home, Allways available

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TheCBKM/README.md

Hey, I’m Rajaram Joshi 👋

Typing SVG

I build AI systems that help teams detect blockers, preserve context, and ship faster.

Portfolio LinkedIn GitHub


whoami

name: Rajaram Joshi
role: CTO at Scrummer AI
mode: Builder + Technical Leader
focus:
  - AI agents and LLM workflows
  - Backend platforms and data pipelines
  - DevOps, automation, and reliable delivery
currently_building: Systems that turn context into action

I work where AI, backend engineering, and operations meet-designing useful agent workflows, scalable platforms, and the delivery systems that keep them reliable in production.

What I’m building

Focus What it solves
🧠 Scrummer AI Engineering intelligence and AI workflows Detects blockers, preserves team context, and helps engineers move faster
🔎 NinjaHire Candidate intelligence and agent workflows Powers AI-assisted hiring workflows across 200M candidate profile records
🛠️ Opsaway Freelance CTO and engineering leadership Helps teams turn product ideas into scalable, production-ready systems
⛓️ ShopDeFi Backend and Web3 product engineering Delivered as part of my work at Deqode Labs

My builder’s toolbox

TypeScript JavaScript Python Go Node.js FastAPI PostgreSQL MongoDB Redis OpenAI Docker GitHub Actions AWS Linux

🤖 AI and agent engineering
  • LLM application architecture, tool use, RAG, and agent orchestration
  • Context-aware workflows for engineering and hiring operations
  • Structured outputs, evaluations, guardrails, and production observability
  • Automation that connects models with real business systems
⚙️ Backend and data systems
  • APIs, distributed services, workflow engines, and background processing
  • High-volume ingestion, retrieval, enrichment, and data pipelines
  • PostgreSQL, MongoDB, Redis, caching, queues, and performance tuning
  • TypeScript/Node.js, Python/FastAPI, and Go services
🚀 DevOps and delivery
  • Dockerized workloads, CI/CD automation, and cloud infrastructure
  • GitHub Actions, Linux, AWS, monitoring, and reliability practices
  • Developer workflows that shorten feedback loops and improve release confidence

How I think about systems

flowchart LR
    A[Messy context] --> B[Data + Retrieval]
    B --> C[LLM / Agent]
    C --> D[Tools + Workflows]
    D --> E[Observable action]
    E --> F[Faster delivery]
    F -. feedback .-> B
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The best AI workflow is not a clever demo. It is a dependable system that helps someone make a better decision or complete meaningful work.

GitHub at a glance

Rajaram's GitHub contribution summary Rajaram's repositories by language Rajaram's GitHub statistics

Let’s build something useful

I’m interested in ambitious problems involving LLMs, AI agents, developer tooling, backend platforms, data-intensive systems, and DevOps automation.

If you are building in that space, connect with me on LinkedIn or explore more at rajaram.info.

Build deeply. Automate thoughtfully. Ship reliably. ⚡

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