About Dr. Nirmal Parmar

Professional Summary

Global AI Director at Novartis with 10+ years of experience in AI-driven digital transformation. Founder of Machine Gnostics, the world's first non-statistical machine learning framework. Leading international teams in implementing breakthrough AI solutions across manufacturing and engineering domains.

Current Leadership

🏢

AI Director

Novartis

Strategic AI Leadership - Developing enterprise-wide AI adoption strategies
Cross-Functional Team Management - Leading diverse international teams
Innovation Management - Implementing cutting-edge AI manufacturing solutions
Digital Transformation - End-to-end project lifecycle management

Education Journey

🎓

Joint International PhD

Chemical Engineering & Advanced Data Analytics

🇨🇿 University of Chemistry & Technology, Prague

🇫🇷 University of Tours, France

🇨🇿 Institute of Chemical Processes and Fundamentals, Czech Academy of Sciences, Prague

📚

Master's & Bachelor's

Master's - Applied Mechanics 🇨🇿 Czech Technical University, Prague

Research Intern 🇩🇪 University of Wismar, Germany

Master's - Thermal Engineering 🇮🇳 Gujarat Technological University, India

Bachelor's - Mechanical Engineering 🇮🇳 Veer Narmad South Gujarat University, India

Core Expertise

🤖

AI Solutions

Generative AI (GenAI) & LLM Implementation
Custom Neural Networks & Deep Learning
MLOps, LLMOps & AIOps
Time Series Forecasting

👨‍💼

Leadership

AI Strategy Development
Digital Transformation Leadership
Cross-Cultural Team Management
Innovation Management

🌡️

Thermal Engineering

Energy Storage Systems
Renewable Engineering
Heat Transfer Applications
Thermodynamics

🥭

Mathematical Gnostics

Non-Statistical AI Frameworks
Uncertainty Analysis
Open Source Leadership
Research-Industry Bridge

Machine Gnostics Innovation

Revolutionary AI Framework

"Redesigning the mathematical core of AI"

Machine Gnostics represents a paradigm shift from conventional statistical approaches. This groundbreaking framework encodes fundamental laws of nature—geometry, physics, entropy—into algorithms that extract truth from data, regardless of sample size or data quality.

🔬

Non-Statistical Foundation

First comprehensive framework beyond traditional probabilistic models

🌐

Physical Law Integration

Algorithms understand causality and engineering principles

💡

Universal Applicability

Solutions work regardless of data quality or sample size

Explore Machine Gnostics

Global Impact & Vision

Leadership Philosophy

"Transforming organizations through intelligent AI adoption, combining rigorous scientific methodology with innovative engineering solutions. Leading by example to foster technical excellence and deliver breakthrough solutions to complex industrial challenges."