Ganesh Gangulli
Robotics Engineer at Inferigence Quotient
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolGanesh Gangulli is a robotics engineer with nine years of experience blending mechanical engineering roots and hands-on work in computer vision and deep learning. He has driven automation projects at Toyota, led product and tech strategy as CTO of a robotics startup, and now develops robotic solutions at Inferigence Quotient. His portfolio includes building a SLA 3D printer for client orders, producing 6DOF robot simulations on the 3DExperience platform, and applying deep learning to lung CT cancer detection. A Techathon winner trained on Dassault Systèmes tools, he brings a practical maker’s mindset alongside simulation and vision expertise. Based in Bengaluru, he actively shares code on GitHub and bridges hardware, simulation, and ML in applied robotics.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at B. M. S. College of Engineering
Github Skills (9)
gps5
garmin4
nmea3
parsing3
classifier2
offline-maps2
python2
geometric1
machine-learning1
Programming languages (2)
Github contributions (5)
GangulliGanesh/Face_Swap
Jun 2019 - Aug 2019
Contributions:31 commits, 32 pushes in 1 month
GangulliGanesh/EfficientNet_B3
Aug 2019 - Aug 2019
Classifier for categorising the geometric shapes
Contributions:24 pushes, 1 branch in 1 day
pythonclassifiermachine-learninggeometric-shapesgeometric
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