Sandeep Chavan

Senior Architect, Enterprise Digital Transformation (IoT, AI, Machine Learning, Big Data), all tweets are my personal opinion

[Sandeep Chavan @sandeeprchavan]

@Wisdom_HQ 9

[Sandeep Chavan @sandeeprchavan]

@Ruksar_Khan01 Kashvi

[Sandeep Chavan @sandeeprchavan]

@Arden_2210 34

[Sandeep Chavan @sandeeprchavan]

@Matt_Pinner Hockey

[Sandeep Chavan @sandeeprchavan]

@Jindo_1307979 178

[Sandeep Chavan @sandeeprchavan]

@ElonMuskZAB Nunu

[Sandeep Chavan @sandeeprchavan]

@oelma__ 14

[Sandeep Chavan @sandeeprchavan]

@NoDMsPerfavore 40

[Sandeep Chavan @sandeeprchavan]

@IQTestBrain 9

[Sandeep Chavan @sandeeprchavan]

@Matt_Pinner 2

[Sandeep Chavan @sandeeprchavan]

@jitendra789789 13

[Sandeep Chavan @sandeeprchavan]

@IQTestBrain 72

[Sandeep Chavan @sandeeprchavan]

@theamelia__ 815

[Sandeep Chavan @sandeeprchavan]

@elonmuskTN 67

[Rohan Paul @rohanpaul_ai]

📈 This is a great opensource platform showing a solid usecase of how LLMs, RAG+memory can be leveraged for live financial trading.

5.8K Github stars ⭐️

@valuecell is an open source multi agent platform for financial applications where a group of specialized AI agents can research markets, monitor portfolios, and execute trades inside 1 unified system that users run on their own machines.

⚙️ The Core Concepts are that ValueCell separates a user facing orchestrator from the individual agents, so planning, memory, storage, and routing live in a central controller while each agent process focuses only on its own financial job.

The orchestrator receives the query from the user, streams partial responses back to the browser, supports human in the loop corrections, and can push notifications later when an agent finishes a long running task.

Under that controller, an Agent Clients layer speaks a common A2A protocol to external agent frameworks such as LangChain and Agno.

Means the same ValueCell core can host agents written with different toolkits without adding new plumbing every time.

Out of the box the platform ships with 3 main agents, a DeepResearch Agent for fundamental and document analysis, a Strategy Agent for multi asset trading strategies, and a News Retrieval Agent that can track topics and send scheduled news updates.

The DeepResearch Agent automatically retrieves filings and other fundamental documents, analyzes them into structured insights, and then uses large language models to produce interpretable summaries instead of raw dumps of text, which is where the project leans on retrieval augmented generation ideas backed by an embedding powered memory store.

The Strategy Agent is wired for multiple crypto assets and multiple strategies at once, so it can translate natural language trading logic into executable orders and run them continuously while logging every decision and trade.

🧵 Read on 👇

[Sandeep Chavan @sandeeprchavan]

@airindia I loved the experience of traveling with Airindia especially the inflight services, app experience for check-in and experience at the airport.Everything is so well integrated. Well done Air India

[Sandeep Chavan @sandeeprchavan]

This is not the kind of country that anyone of us want to pass to next generation.

I hope concerned Authorities take note and take appropriate action on the culprit

[Rishi Bagree @rishibagree]

🤡🤡🤡

[Sandeep Chavan @sandeeprchavan]

@mybmcWardMW
This place is always full of garbage near Bunder Pakhadi, Kandivali West.

Can a garbage bin be installed here and a public campaign to spread awareness about cleanliness be run. With monsoon started such places are breeding ground for disease spreading organisms

[Narendra Modi @narendramodi]

Sharing some more glimpses from my visit to AFS Adampur.

[The Jaipur Dialogues @JaipurDialogues]

Karan Thapar: “What have we gained?”

Shashi Tharoor's answer shocked the daylight out of Karan Thapar😂

Watch this video 👇 https://t.co/EbMRoMQIoE