Mallikarjun Dodmani - Project Associate at International Institute of... - Bangalore

Mallikarjun Dodmani
Bangalore, Karnataka, India
Core Java Matlab AI Artificial Intelligence Python
PESU-PES University

About Mallikarjun Dodmani

Mallikarjun Dodmani works as Project Associate at International Institute of Informational technology, Bengaluru and is based in Bangalore, India. Mallikarjun studied Master of Engineering or Technology (Artificial Intelligence) at PES University (2013-2015). On Youth4work, Mallikarjun has taken skill tests in Core Java (rank 1,048 of 348,020, top 1%), Matlab (rank 55 of 28,650, top 1%) and AI Artificial Intelligence (rank 151 of 8,818, top 2%). Mallikarjun also lists talents in Android, Electronics Engineering, MVC Framework and Probability.

Talents

Core Java

... among ... users in Bangalore

1048

among 348020 users worldwide

92.84

percentile among worldwide users
Machine Learning

... among ... users in Bangalore

…

among … users worldwide
Matlab

... among ... users in Bangalore

55

among 28650 users worldwide

90.96

percentile among worldwide users
Python

... among ... users in Bangalore

3036

among 102473 users worldwide

44.4

percentile among worldwide users

Complete Talent Profile »

Professional Path

Project Associate

International Institute of Informational technology, Bengaluru Full Time

Oct-2018 To present 7 years 11 months

Programmer

NIMHANS, Bengaluru Full Time

May-2017 To Sep-2018 1 years 4 months

Software engineer

Dataknot labs Full Time

Oct-2016 To May-2017 7 months

» 3 Projects

Development of Artificial Intelligence Tool Utilizing Clinical Neurological Examination For Clinical Diagnosis in Neurosurgical Patients.

Programmer at NIMHANS, Bengaluru

Apr-2017 to present

Clinical neurological examination is a structured form of patient evaluation by which neurological localization is achieved. The examination involves the application of real world logic based on patient features of disease presentation, statistical knowledge of diseases and anatomical knowledge of the network of the human nervous system. An artificial intelligence based approach to the problem involves incorporation and adequate representation of these knowledge entities. The development of a dedicated package would be of benefit in providing quality neurological help to remote areas where specialists are not available. It is built using Deep neural network and probabilistic models.

Numerical and neural network based approaches to optimal control

Student at PESU-PES University

Jul-2014 to Sep-2015

This project involves designing an optimal controller for the linear and nonlinear
systems with numerical methods and artificial neural network. The Hamilton Jacobi (HJ) equations
directly yield a controller with guaranteed properties in terms of stability and performance. The HJ
equations are difficult to solve in general. This provides the cornerstone of control design for
aerospace systems, vehicles and industrial plants. It is valuable to have a tractable controller design
technique for nonlinear systems. Neural network afford computationally effective technique for
solving general HJ equations and designing closed loop controller for nonlinear system.

Vehicle tracking using GPS and GSM.

Jan-2013 to Jun-2013

In this project we used GPS and GSM module with 8051 micro-controller. This
module should be placed in the vehicle. Using this module we can detect the position of the vehicle.
In this project we designed and programmed in such a way that whenever owner sends a command
message to the GSM module the GPS detects its position. Then that position is sent to the owner
mobile using the same GSM module.

Qualifications

PES University

Master of Engineering or Technology Artificial Intelligence

2013-2015

73%

My Story

M.Tech in Intelligent Systems. Currently working in the International Institute of Information Technology, Bengaluru

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