Harshil Gupta

38 posts

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Harshil Gupta

Harshil Gupta

@HarshilG28

Building Scalable Solutions, Driving Innovation A Backend & Data Engineer with an AI Edge

Katılım Eylül 2022
413 Takip Edilen18 Takipçiler
Harshil Gupta
Harshil Gupta@HarshilG28·
Act: Execute trades via Zerodha API Learn: Improve strategies based on outcomes The agent becomes a autonomous trading partner, not just an analysis tool. This is where AI + Finance gets really powerful. #HarshilLearnsAI #AgenticAI #AI #FinTech #LLM
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Harshil Gupta
Harshil Gupta@HarshilG28·
Instead of my current setup where I ask Claude to analyze portfolio data, an agentic system could: Perceive: Monitor market conditions 24/7 Reason: Analyze trends using my risk parameters #HarshilLearnsAI #AgenticAI #AI #FinTech #LLM
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Harshil Gupta
Harshil Gupta@HarshilG28·
🔗 API Glue - The Zerodha Kite integration is all REST, but wrapping it with smart LLM context makes it conversational. I could ask for today's market trends to Claude and place an order via Kite Python SDK. #HarshilLearnsAI #AI #Claude #MCP #zerodha #Kite
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Harshil Gupta
Harshil Gupta@HarshilG28·
🧠 Stateful LLMs – Dug into how session continuity works when I was using Claude as a portfolio co-pilot. It remembers just enough without overstepping. It was not an average stateless chatbot. It remembered what I covered previously.
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Harshil Gupta
Harshil Gupta@HarshilG28·
Day 3 of #HarshilLearnsAI Unpacking the black box. Today was all about peeling back the layers on how Claude + MCP + Zerodha actually talk to each other under the hood. Here’s what I focused on:
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Harshil Gupta
Harshil Gupta@HarshilG28·
👨‍💻 On the backend, I started exploring the Kite Connect Python SDK. Wrote basic scripts to: Get holdings Pull live market data Prep for trade triggers down the line Hands dirty. Momentum building.
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Harshil Gupta
Harshil Gupta@HarshilG28·
🚀 Day 2 of #HarshilLearnsAI Diving deeper into AI x Finance. Today’s focus: building a smarter portfolio analysis tool using LLMs and brokerage APIs. Let’s talk about MCP, Claude, and Zerodha. 👇
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Harshil Gupta
Harshil Gupta@HarshilG28·
LLMs “dream” new content by predicting the next word, sometimes hallucinating plausible but incorrect facts. Security risks: prompt injection, jailbreaks, and data poisoning are real challenges for LLM deployment.
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Harshil Gupta
Harshil Gupta@HarshilG28·
Day 1 of my #AI learning sprint: Watched Andrej Karpathy’s “Intro to Large Language Models”. Key takeaways: LLMs like ChatGPT, Claude, and Bard are powered by massive neural networks trained on huge internet datasets.
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Harshil Gupta
Harshil Gupta@HarshilG28·
Excited to start my #AI learning journey! 🚀 I will be sharing daily updates, resources, and project progress as I dive into topics like LLMs, embeddings, and building AI agents. Follow along and let’s learn together! #LearnInPublic #100DaysOfAI
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Harshil Gupta retweetledi
Nauseam (in sf!)
Nauseam (in sf!)@ChadNauseam·
"A calculator app? Anyone could make that." Not true. A calculator should show you the result of the mathematical expression you entered. That's much, much harder than it sounds. What I'm about to tell you is the greatest calculator app development story ever told.
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Harshil Gupta retweetledi
Nick Bilton
Nick Bilton@nickbilton·
They need to create a Pulitzer category for headlines just for whoever wrote this.
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