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Rishabh Hota

Sr. AI Researcher · Simplilearn · Bengaluru, India

I turn new AI research into systems that ship.

Agents and multi-agent orchestration, LLM fine-tuning and serving, medical-imaging models, and research on when quantum-inspired attention actually helps. Three-plus years taking ideas from paper to production.

Download résuméSee the work
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Fig. 1 — Causal self-attention over the sentence above (illustrative). My research asks whether quantum-inspired attention earns its keep at a matched compute budget.
96%
Accuracy, knee X-ray OA grading on AWS
1 day
Launch collateral via multi-agent system, down from 7–10
IF 2.3
LCSNet, published in Elsevier IBM
3+ yrs
Shipping research into production

§1Selected work

All projects →
  1. 01

    Collaterals Agent

    An N8N-based multi-agent system that cut course-launch marketing collateral from 7–10 days to 1 day.

    Agentic AIMulti-agentN8NFine-tuned GPT
  2. 02

    AI-Powered Osteoarthritis Classification & Reporting

    End-to-end knee X-ray grading on AWS — 96% accuracy, more than 90% concordance with radiologists, ahead of competitor RBKnee.

    Computer VisionMedical ImagingAWSSageMaker
  3. 03

    TurboTrade — Zerodha MCP trading copilot

    A chat copilot that researches, plans and trades Indian markets using LangChain, Groq and Zerodha's Kite MCP.

    MCPLangChainGroqRAG
  4. 04

    AI Teddy Bear (MVP)

    A storytelling teddy bear for children with its own character voice — guardrailed, open source, hardware- and app-ready.

    Voice AISpeech generationGuardrailsHardware
  5. 05

    AI Portfolio Agent (this site)

    Dumbledore, a Python LangGraph agent live on this site — hybrid RAG, a five-gate refusal pipeline, page navigation and 17 free LLMs on a ₹0/month stack.

    LangGraphLangChainRAGFAISS

§2Research

All publications →
● Published

LCSNet: Lightweight Caries Segmentation Network for dental caries segmentation from smartphone photographs

Intelligence-Based Medicine (Elsevier, Impact Factor 2.3) · Oct 2025

Read paper ↗
○ Under review

QFPViT: A Fidelity-Phase Quantum Self-Attention Operator for Vision Transformers — Design and Evaluation on MedMNIST

Quantum (journal)

○ Under review

Do Quantum-Inspired Feature Maps Help Vision Transformer Attention? A Matched-Budget Dequantization Study

Quantum Machine Intelligence (Springer)

§3Experience

Full timeline →

§4 — Dumbledore, the agent

Skip the scroll. Just ask.

Dumbledore, my AI agent, answers from my real projects, papers and experience using retrieval over this site's content, takes you to any page you ask for, and politely declines anything off-topic. The conversation disappears when you close it.