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kaushik-003/README.md

Kaushik Maram

AI & Cloud Native Engineer

Building scalable multi-agent platforms, event-driven architectures, and production infrastructure for LLM systems on Kubernetes.

LinkedIn GitHub Blog Email Dev.to


> whoami

name: Kaushik Maram
role: Agentic AI Engineer
location: Hyderabad, India
focus:
  - Multi-Agent Orchestration & Governance
  - Event-Driven AI Platforms on Kubernetes
  - RAG Systems & LLM Infrastructure
  - Cloud Native Platform Engineering
currently_building: orchestration platform for 25+ agents.
writings: "Our GitHub PR Agent Crashed" — a paper on durable state & async scaling for AI agents on K8s

> tech_stack

AI & Orchestration

Python LangChain LangGraph Google ADK OpenAI HuggingFace Ollama

Cloud & DevOps

Kubernetes Docker Terraform Azure GCP Linux Git

Data & Backend

FastAPI Redis PostgreSQL Pinecone FAISS MongoDB Django

Monitoring & Observability: OpenTelemetry, Kubeflow


> featured_work

📄 Our GitHub PR Agent Crashed Paper on engineering crash-resilient AI agent platforms

A GitHub PR Review Agent that failed at 10 users, re-architected into an event-driven platform with Redis queuing, KEDA autoscaling, CloudNativePG checkpointing, and MCP governance on Kubernetes. Achieved 100% crash recovery and scale-to-zero efficiency.

🌾 Agri-Chatbot: Agentic RAG Multi-agent RAG system for agricultural assistance

Agentic RAG backend with LangGraph routing, hybrid retrieval (semantic + BM25 + cross-encoder re-ranking), Pinecone vector DB, and MongoDB conversation memory. 30% accuracy improvement over baseline.

🤖 AI Agent RAG Enterprise-ready AI agent with tool calling

LangGraph agent with autonomous tool selection, FAISS semantic retrieval, session management, and production REST API deployed on Render.

Live Demo →

👁️ Diabetic Retinopathy Detection Deep learning for medical diagnosis

CNN model for multi-class classification across 5 clinical stages with optimized preprocessing (CLAHE, Gaussian Blur), improving detection by 15%.


> community

  • Core Team, CodeDay Hyderabad — Co-organized 24-hour hackathon for 100+ participants, developed GenAI workshop content
  • Hackerabadi, Hackerabad — Organized many Tech sessions reaching 500+ students
  • Conferences: KubeDay India 2023, PyCon India 2022, GitHub Constellation 2024, Cloud X AI 2026, CNCF Hyderabad Meetups

"AI magic only works when the infrastructure underneath it is boring, predictable, and designed to fail."

From our paper — and the principle I build by.

Profile Views

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  1. AI_AGENT_RAG AI_AGENT_RAG Public

    Python 1

  2. Math_Mentor_JEE Math_Mentor_JEE Public

    Python

  3. agri-chatbot agri-chatbot Public

    An intelligent backend application using FastAPI that helps farmers get accurate information about citrus diseases and government agricultural schemes through a conversational interface.

    Jupyter Notebook 1

  4. AskMyDocs AskMyDocs Public

    Python