ram_saloke

45 posts

ram_saloke

ram_saloke

@ram_saloke

Solving real-world problems through the digital world. AI Full Stack Dev. TS || Python || Golang || Java Coding && Cricket ❤️

Katılım Ocak 2026
131 Takip Edilen28 Takipçiler
ram_saloke
ram_saloke@ram_saloke·
Guys anyone facing sudden credits jump while using github copilot ??
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Yash
Yash@YashHustle_22·
Which one do you use for backend frameworks? - Express - FastAPI - Django - Spring Boot - NestJS - Laravel - Ruby on Rails - Go Gin
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Yaswanth
Yaswanth@byash_87·
I want to connect with people who are into: • DevOps • SRE • DevSecOps • Platform Engineering • Software Development • Cybersecurity • AI/ML Engineering Let's connect and learn from each other.
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ram_saloke
ram_saloke@ram_saloke·
Hey @x I'm looking to #connect with people interested in or learning skills in - Full-stack Development - Backend - Frontend - DevOps - AI/ML - Data Science - UI/UX - Freelancing Let's connect, say Hi and let's grow together
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Jorge Marfil
Jorge Marfil@JorgeMvrfil·
Let’s connect 👋 Solo founder building in the AI + tech space. Looking to connect with other developers, indie hackers, AI enthusiasts, and people working on startups or interesting projects. If you’re building something, learning in public, or just enjoy talking tech drop a comment. Happy to chat and exchange ideas
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Gaurav Goyal
Gaurav Goyal@GauravGoyalAI·
What happens when you combine CrewAI + RAG + Banking Compliance Data? You get an AI agent that doesn’t just answer questions… It reasons, retrieves evidence, validates context, and responds like a finance research assistant. Today I tested a multi-agent Finance QA System built using CrewAI, Ollama, and DeepSeek-R1. 🔍 User Query: “Is KYC mandatory? When is an RE required to carry out KYC?” ⚡ What the AI agent actually did behind the scenes: ✅ Retrieved relevant banking regulations from the vector database ✅ Prioritized the most relevant compliance evidence ✅ Generated grounded responses using RAG ✅ Avoided hallucinations when context was missing ✅ Returned transparent reasoning, sources, and tool usage This is the part of AI most people don’t see 👇 Modern AI systems are no longer just “chatbots.” They are becoming autonomous reasoning systems capable of: • Document intelligence • Compliance analysis • Policy reasoning • Multi-step decision workflows • Enterprise knowledge retrieval 🛠️ Tech Stack: • CrewAI • Ollama • DeepSeek-R1 • LiteLLM • Python • RAG Pipeline • Vector Database • Banking & RBI Documents The most exciting part? This architecture can scale far beyond banking — legal AI, healthcare compliance, enterprise search, audit systems, and internal copilots are next. AI agents + trusted data + reasoning workflows = the future of enterprise AI. What industry do you think will adopt Agentic RAG systems the fastest? 👇
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Yash
Yash@YashHustle_22·
What's your go-to backend stack? - Node js - Spring Boot - Django - Go
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Anaya
Anaya@Anaya_sharma876·
Be honest As a developer, Which one is better SQL or noSQL ??
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Dark Coder
Dark Coder@dark_coderz·
Hey @X I'm looking to connect with people interested in: → Frontend → Backend → Full Stack → DevOps → LeetCode → AI/ML → Data Science → UI/UX → Freelancing → Startups Say hi & let's grow together 👋
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ram_saloke retweetledi
Enoch Tomisin
Enoch Tomisin@Enochthegreat11·
I'm looking to #connect with people interested in : —SasS —Startup —Marketing Let’s grow together 🤝
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Shreyash
Shreyash@shreyashkhole·
Hare Rama Hare Krishna
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Pune, India 🇮🇳 हिन्दी
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