About Me

Hi I am Rakesh Reddy :wave:,
I currently work as a Machine Learning Engineer in Autonomous Systems CV team at New Space Research & Technologies, Bangalore. Most of my work is related to Machine learning, Deep learning, Reinforcement learning, Robotics.

Want to know more about me or hire me then download resume here :smiley:

Publications

RIGGU - A Semi-Humanoid Robot Platform for Speech and Image Recognition :


Machine Learning Engineer II, New Space Research & Technologies, Bangalore

Feb 2021 — present

ML Engineering & Research with primary focus on developing Deep learning based solutions for Autonomous Systems Research.

Diploma in Artificial Intelligence - Central University of Hyderabad

Feb 2021 — present

(Post Graduate level) Virtual/Online Diploma in AI from Central university of Hyderabad and Applied roots to increase and refresh my skillset in AI in all domains and also to progress in the career.

Master of Arts in Philosophy - IGNOU

Oct 2020 — present

Part time Distance Master's degree to increase my vision ,also to get a philosophical view about Life and also to improve my thinking skills!

Machine Learning Engineer, Quantiphi, Bangalore

May 2019 — Feb 2021

ML Engineering with primary focus on developing deep learning solutions for Business use cases.

Machine Learning Intern, Storilabs, Kozhikode

Jun 2018 — Oct 2018

ML Engineering with primary focus on developing comptuer vision solutions for video surveillance with Edge based hybrid architecture.

Member - Robotics Interest Group, NITC , Kozhikode

April 2016 — May 2019

Robotics interest group is a college club with a bunch of people who are crazy about Robotics. Here I have worked on Drones, Autonomous Systems, Human Interactive and Swarm Robotics. As a part of this club I have conducted different workshops and attended national level robotics competitions.

Student, B.Tech in Mechanical Engineering, NITC

Jun 2015 — May 2019

Undergraduation in Mechanical Engineering from NIT Calicut. Core learnings include Dynamics, Robotics, Control Systems, Thermal and Fluid Dynamics and other learnings include Neural Networks, Image Processing.

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