Madan Dabbeeru

About Madan Dabbeeru

With over 18 years of experience in artificial intelligence, machine learning, and data science, I am a passionate and visionary leader who believes in creating general artificial intelligence that can think and act like humans. I am the founder of Eizen, a startup that aims to build an autonomous AI system that can generate a family of AI models to solve any business problem related to video data. At Eizen, I lead the development of AI-generating algorithm (AI-GA), which autonomously learns and evolves based on the learning environments. This is a novel and groundbreaking approach that challenges the traditional and manual methods of building machine learning models. I also leverage my expertise in computer vision, natural language processing, customer sciences, and cancer research to create innovative and impactful solutions for various domains and industries. I have multiple patents and publications in these fields, and I enjoy collaborating with other researchers and experts to advance the state of the art in AI.

Experience

1. Founder

   Eizen

   Oct 2022 — Present · Bengaluru, IN

   Creation of general artificial intelligence, meaning that an ai system which can think and act similar to any human way of thinking and acting. To attain this,the traditional/manual approaches, where we build the machine learning models and trying to prove machines are intelligent may not be a right approach, in my opinion.Eizen adopts AI-generating algorithm (AI-GA) which autonomously learns and evolves based on the learning environments. Also, it is observed that a family of neural architectures can generalise much better than a single neural architecture. We build eizen, an autonomous ai system which can generate family of ai models to solve any business problem related to video data.

Education

• Indian Institute of Technology, Kanpur

  PhD, Artificial Intelligence in Design, Robotics

  2003 — 2009

• Birla Institute of Technology and Science, Pilani

  M.Tech, Walking Robots

  2000 — 2002

• University of Maryland

  Doctor of Philosophy - Post Doc, Robotics

Skills

• Computer Vision
• Predictive Modeling
• Artificial Intelligence
• Physics
• Simulations
• Analytics
• Robotics
• Algorithms
• Experimentation
• Team Leadership
• Computer Science
• Mathematica
• C
• Big Data Analytics
• Predictive Analytics
• Programming
• Data Mining
• Python
• Numerical Analysis
• Science
• Statistical Modeling
• Linux
• Data Analysis
• Matlab
• Text Mining
• Big Data
• C++
• Machine Learning
• Image Processing
• Hadoop
• Operations Research
• Optimizations
• Latex
• R
• Sas
• Mathematical Modeling
• Pattern Recognition
• Distributed Systems
• Statistics
• Optimization