Santosh Sohani

AI Engineer | Full-Stack Dev | Generative AI & LLMs | Football keeps me sane ⚽🔥

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 41
🤖 Configured chat models with LangGraph agents
🛠️ Added tool calling support
🧪 Built a working example
🌐 Also brushed up on HTTP & domain names

Blending AI with backend logic!
#AI #LangGraph #LLM #GenAI #BackendDev #HTTP #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 40 🎯
📖 Deep dive into LangGraph docs:

Pre-built agents

Execution flow

Streaming agents in action

Big milestone, still hungry to learn more!
#AI #LangGraph #LLM #Day40 #GenAI #LangChain #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 39
🔁 Revised HITL in LangGraph
🔧 Explored customized states
🌊 Tried different streaming modes

Repetition = clarity. One step closer to mastery!
#AI #LangGraph #LLM #GenAI #LangChain #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 38
Explored Human-in-the-Loop (HITL) in LangGraph
• Used interrupt() for human input
• Studied Command and Interrupt docs
• Built a working demo!

Making LLMs smarter with humans in the flow
#AI #LangGraph #LLM #HITL #Interrupt #GenAI #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 37
🧠 Explored MemorySaver in LangGraph
💬 Tracked chats using thread-id
📏 Studied tokens, context length
⚖️ Compared various OpenAI models

Optimizing memory = smarter, scalable LLMs.
#AI #LLM #LangGraph #LangChain #OpenAI #GenAI #MemoryManagement

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 36
🔧 Explored tools in LangGraph
⚙️ Worked with ToolNode
🛠️ Implemented tools with LLM agents

Love how tools extend LLM capabilities in structured workflows.
#AI #LangGraph #LangChain #LLM #GenAI #ToolNode #LearningInPublic

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 35
🛠️ Built a basic LangGraph chatbot
🔍 Learned about TypedDict
📖 Explored StateGraph, START, and add_message()

Loving how modular LangGraph is for structured LLM workflows!
#AI #LangGraph #LangChain #Python #Chatbot #GenAI #LLM

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 34
Back after a short break! 🔁
• Explored core of LangGraph
• Understood Agent State
• create-react-agent method
• Compared invoke, ainvoke, stream, astream

LangGraph is 🔥 for structured LLM flows.
#AI #LangChain #LangGraph #LLM #GenAI

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 33

Tried implementing LLM streaming with logs (thoughts/actions).
Didn’t get it right (yet), but learned a ton through the process.
Debugging is where the real growth happens!

#AI #LangChain #LLM #FastAPI #GenAI #LearningInPublic

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 32

🧠 Explored:
• Why use pre-trained models
• Key things to consider & their limitations
• Streaming LLM responses with FastAPI 🚀

Efficiency meets practicality in real-world GenAI apps.
#AI #LLM #ML #FastAPI #PreTrainedModels #GenAI

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 31

🧠 GenAI foundations today:
• LLMs
• Training vs Inference
• Embeddings & Vector DBs
• AI Agents
• RAG (Retrieval-Augmented Generation)

Understanding the backbone of modern AI systems.
#AI #GenAI #LLM #ML #RAG #Embeddings #AIagents

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 30
🧠 Understood LangGraph's full flow
🚀 Wrapped MCP Server using FastAPI as an MCP Client

Connecting everything is 🔑
#AI #ML #LangGraph #MC

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 29
🔧 Built an MCP Server
🧠 Explored tools, prompts & resources
🕵️‍♂️ Debugged flows using MCP Debugger

Building real AI workflows is 🔥
#AI #ML #LangChain #LangGraph #MCP #LLM #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 28
Today was all about data distribution! 📊
• Skewness & Kurtosis
• Quartiles & Percentiles
• Five Number Summary

Data tells a story — stats help you hear it.
#AI #ML #DataScience #Statistics #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 27
Started with Statistics today!
• Why do we need it in ML?
• Mean, Median, Mode
• Standard Deviation & Variance 📊

Numbers with meaning — not just math.
#AI #ML #Statistics #DataScience #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 26
MCP Server = a rulebook to inject external context into an LLM.

🧠 Spent time understanding it deeply.
🖼️ Shared a small diagram to explain how it works!

LLMs get smarter when context is clean.
#AI #LLM #MCP #LangGraph #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 25
• Learned tool calling with LLaMA 3.2 🛠️
• Debugged router agent logic (hello, breakpoints 👀)

LLMs + tools = serious power!
#AI #LLaMA3 #ToolCalling #LangGraph #LLM #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 24
• Built a simple MCP server in a full stack setup
• Understood MCP server ↔️ client interaction
• Learned LangGraph routing logic

LLM apps are all about clean orchestration!
#AI #LangGraph #MCP #LLM #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 23
Split day:
• Understood MCP architecture
• Explored StateGraph, start, end in LangGraph
• Geometric view of eigenvalues & eigenvectors

Design + math = power!
#AI #LangGraph #LLM #LinearAlgebra #LearningJourney

[Santosh Sohani @SanAI_Quest]

∞ Days of Learning – Day 22
LangGraph exploration continues:
• Intro to Chains
• start node & graph state
• Built a simple graph to test the flow

Structured LLM apps just make sense!
#AI #LangGraph #LangChain #LLM #LearningJourney