Meghnath Sakthivel@meghnath_s39
1
Events attended
1
Submissions made
India
3+ years of experience
About me
I am Meghnath Sakthivel, a Bangalore-based B.Tech student at Presidency University specializing in Computer Science and AI/ML. My passion lies at the intersection of complex research and real-world impact, driving my current work in Deep Reinforcement Learning for autonomous flight control—research I am actively turning into a paper for publication this year while eyeing upcoming internships at DRDO and in Japan. I thrive in high-pressure, competitive environments, which has helped me secure 11 wins across 14 hackathons, across various institutions and orgnization in south India,and also gained professional experiences like analyzing data for thousands of participants at Google Agentic AI Day ,Worlds Largest Hackathon 2025 . Beyond the screen, I serve as a Company Senior Under Officer in the NCC, leading a contingent of 160 cadets, and I try to channel that leadership into community efforts .
🤝 Top Collaborators
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🤓 Latest Submissions
M.A.S.H: Multi Agent System for Hospitals
M.A.S.H (Multi Agent System for Hospitals) is a decentralized healthcare orchestration platform comprising a Desktop Interface for doctors/pharmacists, and a Mobile Interface for patients. The system is designed with a minimal, jargon-free UI to streamline clinical workflows and remove patient administrative friction. Upon system boot, M.A.S.H spools up 6 specialized AI agents. Using the Band of Agents SDK (BandSDK), these agents are distributed across multiple virtual, secure rooms (Reception & Location Room, Clinical Consultation Room, and Pharmacy & Inventory Room) to coordinate patient visits while protecting event traffic. 1. For Patients: Patients can book appointments from anywhere via the Mobile Interface. During booking, they interact with a chatbot regarding their symptoms. The Registration Agent automatically assigns the most suitable doctor by matching the patient’s issue with doctors’ specialties and availability. On arrival, the Patient Navigation Agent guides the patient directly to the doctor’s room. 2. For Doctors: In the Consultation Room, the Patient Summary Agent aggregates medical histories, lab results, and surgeries from Supabase. Written prescriptions trigger the Medicine/Prescription Management Agent. 3. For Pharmacy & Stock: In the Pharmacy Room, the Medicine/Prescription Management Agent audits stock level. If available, it routes the order to the pharmacy. If out-of-stock, it requests human-in- the-loop validation for alternate drug comments. Concurrently, the Stock Management Agent tracks usage trends to automate reorders. This multi-room agent mesh completely automates administrative handoffs in real-time.
19 Jun 2026
