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We need to find the path of success through many failure 😊🙂
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We need to find the path of success through many failure 😊🙂
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Rangow4562/README.md
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 About Me — GenAI Architect & ML Systems Engineer

name: Ranjith Kumar K.N
role: Senior AI Engineer
location: India 🇮🇳
specialization: Generative AI & Large Language Models

current_mission:
  - 🤖  Building Autonomous AI Agents with tool-use & planning
  - 🧬  Fine-tuning LLMs (LoRA, QLoRA, RLHF, DPO)
  - 🔗  Designing production-grade RAG architectures
  - 🏗️  Scaling GenAI inference (vLLM, TensorRT-LLM, Triton)
  - 🌐  Multi-modal AI — Vision + Language + Code

exploring:
  - 🧪  Mixture of Experts (MoE) & Sparse Architectures
  - 🎯  AI Agent Frameworks (LangGraph, CrewAI, AutoGen)
  - 📊  Evaluation & Guardrails for GenAI systems
  - ⚡  On-device LLM inference & Edge AI deployment

philosophy: >
  "The best AI systems are invisible — they amplify human
   capability without friction."

 GenAI Expertise & Specializations

🤖 Large Language Models

  • Fine-Tuning: LoRA, QLoRA, PEFT, RLHF, DPO, SFT
  • Inference: vLLM, TensorRT-LLM, Ollama, llama.cpp
  • Frameworks: LangChain, LlamaIndex, Semantic Kernel
  • Models: GPT-4, Claude, Gemini, Llama 3, Mistral, Phi-3
  • Serving: Triton Inference Server, BentoML, Ray Serve

🔗 RAG & Knowledge Systems

  • Vector DBs: ChromaDB, Pinecone, Weaviate, Qdrant, FAISS
  • Embeddings: OpenAI, Cohere, BGE, E5, Sentence-BERT
  • Chunking: Semantic, Recursive, Agentic Chunking
  • Advanced RAG: Hybrid Search, Re-ranking, Graph RAG
  • Evaluation: RAGAS, DeepEval, TruLens

🎯 AI Agents & Automation

  • Agentic Frameworks: LangGraph, CrewAI, AutoGen, Agno
  • Tool Use: Function Calling, MCP, API Orchestration
  • Planning: ReAct, Chain-of-Thought, Tree-of-Thought
  • Memory: Short-term, Long-term, Episodic Memory Systems
  • Multi-Agent: Collaborative & Hierarchical Agent Teams

🏗️ MLOps & Production Systems

  • Pipeline: MLflow, Kubeflow, Airflow, Prefect
  • Monitoring: Weights & Biases, Prometheus, Grafana
  • CI/CD: GitHub Actions, Jenkins, GitLab CI/CD
  • Infrastructure: Docker, Kubernetes, Terraform
  • Cloud: AWS SageMaker, GCP Vertex AI, Azure ML

 Technical Arsenal

🧠 Core AI & Generative AI

Core

OpenAI Google Gemini Anthropic HuggingFace LangChain LlamaIndex MLflow Weights & Biases vLLM TensorRT Ollama ONNX


🔌 Protocols & Agent Standards

MCP A2A JSON-RPC Tool Calling Function Calling OpenAPI GraphQL Claude Agent SDK Google Agent SDK


🗄️ Vector Databases & Data Stores

ChromaDB Pinecone Weaviate Qdrant FAISS

Databases

☁️ Cloud & Infrastructure

Cloud

SageMaker Vertex AI Azure ML Terraform Triton


⚙️ Development & Automation

Dev Tools

🏆 GitHub Trophies


 GitHub Analytics

GitHub Stats    Top Languages



GitHub Streak

Activity Graph

 Let's Connect & Build the Future of AI

Portfolio   LinkedIn   Kaggle   Gmail   GitHub



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