Bharath Irigireddy
ML Engineer at US Department of Agriculture (USDA) Agricultural Research Service (ARS)
Tempe, Arizona, United States
Summary
👤
Senior🎓
Top SchoolBharath Irigireddy is a Machine Learning Engineer with eight years of experience who applies advanced generative models and robotics expertise to remote sensing and agricultural science. With a master’s in Robotics from the University of Maryland and a current role at USDA-ARS, he built SatFlow—a flow-based model that upsamples MODIS to Landsat-like imagery and outperforms traditional methods on SSIM and spectral fidelity—and fine-tuned EPIC crop simulations for improved spatial accuracy. He has a strong implementation background in Python, PyTorch, JAX and C++, and practical experience across diffusion and flow matching models, 3D reconstruction, and control systems. Previously he developed GeoEPIC, a reproducible geo-spatial crop-simulation package, and has applied RL and teleoperation techniques in robotics research. Based in Tempe, AZ, he bridges academic research and production ML, with public code and publications available on GitHub and Google Scholar.
8 years of coding experience
1 year of employment as a software developer
Master's in Robotics, Master's in Robotics at University of MarylandBachelor of Technology Mechanical Engineering, Bachelor of Technology Mechanical Engineering at Indian Institute of Technology, Bhilai
English, Hindi, Telugu
Github Skills (26)
sympy10
ddp10
dynamics10
mpc10
trajectory-optimization10
nonlinear-optimization10
pendulum10
trajectory-generation9
simulator9
robotics9
motion-planning9
planning9
control-systems9
numba8
toolbox8
Programming languages (1)
Github contributions (5)
Bharath2/Informed-RRT-star
Oct 2020 - Nov 2021
Contributions:20 commits, 22 pushes, 2 branches in 1 year
Bharath2/Quadrotor-Simulation
Nov 2020 - Apr 2022
Trajectory Planning and control
Contributions:26 commits, 2 PRs, 27 pushes in 1 year 5 months
quadcopterrrtstaraerial-roboticstrajectory-generationtrajectory-optimization
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