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amittian/README.md

πŸ‘‹ Hallo, I'm Amit Kumar

✍️ My work spans end-to-end AI platforms, covering agent orchestration, LLMOps, cloud deployment, and real-world scalability.
✍️ I'm actively exploring Recursive Language Models (RLM) and Context Engineering to enable more adaptive, memory-aware, and reasoning-driven AI systems in Year 2026.

πŸ’« About Me

  • πŸ”­ Designing and operationalizing Agentic AI, RAG pipelines, and LLMOps platforms
  • 🧠 Exploring recursive reasoning, long-horizon context design, and multi-agent systems
  • 🀝 Open to collaboration on GenAI platforms, AI infrastructure, and applied research
  • πŸ’¬ Happy to discuss AI architecture, LLM systems, and production ML
  • πŸ’» Open-source projects available on πŸ‘‰ GitHub
  • πŸ“« Connect with me: LinkedIn Twitter
  • β˜• Support my work: BuyMeACoffee

Fun fact: I collect books faster than I can read them β€” they double as inspiration and dΓ©cor

🌐 Socials:

LinkedIn Medium Pinterest Reddit Twitter

πŸ’» Tech Stack:

Julia Markdown Python R Shell Script AWS Azure Heroku Oracle Google Cloud Vertex AI Anaconda FastAPI Flask Apache Amazon DynamoDB MariaDB MySQL Postgres SQLite Microsoft SQL Server MongoDB NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Keras LangChain LangGraph LlamaIndex Haystack CrewAI AutoGen TxtAI OpenAI Gemini Claude LLaMA Mistral Qwen DeepSeek Cohere HuggingFace Ollama Groq TogetherAI Pinecone Weaviate Qdrant Milvus Chroma OpenSearch Docker Kubernetes Linux ElasticSearch Git Jira Postman

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

πŸ’‘ Dev Wisdom

πŸ’­ Tech Quote of the Day

πŸ› οΈ GenAI Tech Arsenal ( In Practice )

Category Technologies
πŸ€– LLM Models GPT-4, Claude 3, Gemini, LLaMA 3, Mistral, Qwen, DeepSeek
πŸ”— Orchestration LangChain, LangGraph, CrewAI, AutoGen, Haystack
Vector DBs Pinecone, Weaviate, Qdrant, Milvus, Chroma
πŸ” RAG Stack Semantic Search, Hybrid Search, Reranking, Context Engineering
βš™οΈ LLMOps Prompt Engineering, Model Evaluation, Cost Optimization
☁️ Deployment Azure, GCP, Vertex AI, Docker, Kubernetes , AWS

🎯 AI Research & Hands-on Development Areas

Domain Proficiency Domain Proficiency
🧠 RLM (Recursive LM) πŸ”— Agentic AI Systems
πŸ“š RAG Architecture ✍️ Prompt Engineering
🧩 Context Engineering βš™οΈ LLMOps & Deployment

πŸ§ͺ Experimenting With

  • DeepSeek for cost-effective inference
  • Hybrid RAG + Agentic workflows
  • Production LLMOps patterns

πŸ€– Which AI Model Am I Today?

Current Mood: Claude-3-Opus 🧠

Thoughtful, detailed, and overthinking every edge case in production

Other Personas:

  • πŸš€ GPT-4 Mode: Fast, creative, shipping features
  • πŸ”¬ Gemini Mode: Researching, experimenting, testing
  • ⚑ Groq Mode: MAXIMUM SPEED coding sessions
  • πŸ¦™ LLaMA Mode: Open-source everything!
  • 🧘 Claude Mode: Carefully architecting systems

Updated daily based on coffee intake β˜•

πŸ† My Achievements

Contributions Repositories Stars Followers

πŸ’¬ Join the Conversation

Discord GitHub Discussions

πŸ› Found a Bug in My Profile?

Severity Levels:

  • πŸ”΄ CRITICAL: Typo in my name
  • 🟑 HIGH: Broken link
  • 🟒 LOW: You don't like my color scheme
  • πŸ”΅ FEATURE REQUEST: Want more jokes

Submit Issue πŸ˜„

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  1. Survey-Data-Deep-Emotion-Analysis Survey-Data-Deep-Emotion-Analysis Public

    Deep Sentiment and Emotion Analysis refers to the use of deep learning techniques, particularly deep neural networks, to analyze and understand the sentiment or emotional tone expressed in text data.

    Python

  2. text_classification_multilabel text_classification_multilabel Public

    Jupyter Notebook

  3. basics_of_langchain basics_of_langchain Public

    Jupyter Notebook 1