
Medaura - Agentic Pharmacy System
Medication errors are an information problem. The information exists - it is just not connected at the moment it matters.


I started in RF and signals. Turns out the most interesting signal to decode is language. Now I build the systems that do both — from transformers to multi-agent pipelines to LLM-controlled hardware.
B.Tech — Electronics & Telecom Engineering at SGGSIE&T, Nanded (2023–Present).
Jun 2026 – Present
Hyperledger Cello · Linux Foundation
Building an AI agent that turns Hyperledger Fabric network operations and Chaincode debugging into a conversation.
Apr 2026 – Present
IRT, University of South Carolina
Researching neurosymbolic SLM architectures with RL-based alignment.
Mar 2026 – Present
Meshery — CNCF Sandbox Project
5+ merged PRs across service mesh management, UI, and API integrations.

Medication errors are an information problem. The information exists - it is just not connected at the moment it matters.

Every LLM course teaches you to call an API. I wanted to know what happens before the API.
LLMs can reason about RF signals. They just could not touch a radio. This closes that gap.

Physical-layer first: no protocol decoding, no black-box certainty, just traceable RF evidence.
Reading and building on foundational ML research. Here are papers that shaped my thinking.
I'm always open to research discussions, collaboration, and building things that matter.