Reactor Physics Researcher · Healthcare AI Entrepreneur

Bringing Reactor Physics Precision to Healthcare AI Innovation

Healthcare AI · Academic AI · Nuclear Engineering

Bridging the precision of reactor thermal hydraulics with healthcare AI innovation. Pioneering SuktiAI—achieving 99.7% accuracy in medical diagnostics through physics-informed machine learning.

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Dr. Daya Shankar
IIT Guwahati PhD
7,000+ Prescriptions Processed
99.7% Diagnostic Accuracy
5,000+ Students Taught
SuktiAI Founder
5000+
Students Taught
99.7%
Diagnostic Accuracy
7,000+
Prescriptions Processed
IIT
Guwahati PhD
About Dr. Daya Shankar

Bridging Reactor Physics & Healthcare AI

“

Physics does not forgive imprecision. Neither should your AI. Every model I build starts with first-principles equations — the same rigour that makes nuclear reactors safe.

Dr. Daya Shankar
Research Philosophy

GCP Certified AI Developer

Google Cloud Platform certified — building production AI systems on enterprise-grade cloud infrastructure

SuktiAI Founder

Healthcare AI platform achieving 99.7% diagnostic accuracy in real clinical settings

Thermal Sciences PhD, IIT Guwahati

Doctoral research in nuclear reactor thermal hydraulics & CFD — the precision foundation of SuktiAI

Physics-Informed AI

Applying reactor physics principles to healthcare AI for unprecedented precision

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Core Expertise

Where Nuclear Physics Meets Healthcare Innovation

A unique combination of skills that exists nowhere else in the world

Reactor Physics & Thermal Sciences

PhD in Mechanical Engineering (Thermal & Fluid Sciences) from IIT Guwahati. Doctoral research on nuclear reactor thermal hydraulics — the rigour foundation for every AI system built.

CFD Simulation Thermal Analysis Safety Systems

Healthcare AI

Pioneering SuktiAI platform with 99.7% accuracy in medical diagnostics. Real deployment across multiple clinics processing 7,000+ prescriptions.

Medical Diagnostics OCR Technology Clinical Deployment

Physics-Informed AI

Integrating fundamental physics principles into machine learning models for unprecedented accuracy and reliability in safety-critical applications.

PINNs Deep Learning Neural Networks

Academic Leadership

Building next-generation STEM education and research programmes. Mentoring future AI and engineering leaders across India.

Curriculum Design Faculty Development Research Excellence
SuktiAI Product Suite

Six Products. One Vision.

From prescription parsing to care coordination — the full SuktiAI ecosystem for Indian healthcare

99.7% Accuracy | 7,000+ Prescriptions Processed | Live Clinical Deployments

SuktiDx

AI-powered clinical decision support for differential diagnosis and treatment pathway guidance

Diagnostics

RxLens

99.7% accurate handwritten prescription OCR and structured data extraction for Indian clinics

OCR · 7,000+ Rx

VAAK

Multilingual voice AI for clinical documentation — enabling doctors to dictate notes in regional languages

Voice · NLP

GuardRx

Drug interaction and contraindication detection layer — safety-critical AI for pharmacists and prescribers

Safety · Pharmacology

CareOS

End-to-end clinic management OS — patient records, appointment scheduling, and outcome tracking unified

Clinic Management

PhysIQ

Physics-Informed Neural Network framework for biomedical signal processing and physiological modelling

PINNs · Biomedical
Explore SuktiAI
Academic AI

Beyond Healthcare: Tools for Indian Academia

Applying the same physics-first, research-grade rigor to the tools researchers and university administrators use every day

ScholarFlow

AI LaTeX editor for Indian researchers. IEEE, APA, Nature, 50+ journal citation formats — automatically.

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LexDean

AI legal copilot for university administrators. AICTE, UGC, NAAC compliance queries answered instantly.

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Research Methodology

From Physics First to Clinical Deployment

A rigorous 4-step process ensuring every AI model stands on solid scientific foundations

1

Physics Model

Start with first-principles equations — reactor thermal hydraulics, fluid dynamics, heat transfer

2

AI Architecture

Embed physics constraints into neural network design — Physics-Informed Neural Networks for interpretable AI

3

Clinical Validation

Rigorous testing against real prescription data — 99.7% accuracy achieved across 7,000+ patient records

4

Deployment

Clinic-ready software that healthcare providers trust — SuktiAI deployed across multiple facilities in India

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Whether you're interested in academic partnerships, healthcare AI innovation, or research collaboration, let's connect and create meaningful impact together.

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INDUSTRIAL: SuktiAI Founder RESEARCH: IIT Guwahati PhD EXPERTISE: Reactor Physics + Healthcare AI