Yaswanth Reddy
Research Assistant - Machine Learning at Texas A&M University
College Station, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolYaswanth Reddy is a machine learning researcher and software engineer with eight years of experience building scalable ML pipelines and high-throughput backends, currently advancing oceanographic deep-learning at Texas A&M. He has engineered multi-node PyTorch DDP training on H200 clusters for terabyte-scale satellite datasets, designed memory-efficient streaming loaders for 100+ timestep Zarr arrays, and implemented MLOps workflows with experiment tracking and reproducible SLURM orchestration. Prior industry work includes migrating 200M+ records and modernizing supplier APIs at AirAsia MOVE, giving him practical expertise in distributed systems and production data engineering. An active contributor to AutoKeras, he has implemented CNN/MLP generators and integrated pre-trained face detectors, reflecting a mix of model-architecture design and applied systems thinking. He combines rigorous academic training from IIT Dharwad and Texas A&M with a knack for bridging research prototypes into production-ready, reproducible experiments.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Texas A&M UniversityBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Indian Institute of Technology, Dharwad, IndiaBachelor of Computer Science, Bachelor of Computer Science at Indian Institute of Technology Dharwad
Github Skills (14)
keras10
machine-learning10
deeplearning-ai10
deep-learning10
tensorflow10
python10
neural-architecture-search10
faster-rcnn9
mlp9
mask-rcnn9
pytorch9
computer-vision8
automl8
automated-machine-learning8
Programming languages (3)
Github contributions (5)
keras-team/autokeras
Nov 2018 - Apr 2019
AutoML library for deep learning
Role in this project:
ML Engineer
ML EngineerContributions:13 commits, 12 PRs, 33 pushes in 5 months
Contributions summary:Yaswanth primarily contributed to the implementation and documentation of neural network generators and modules within the AutoKeras library, specifically focusing on CNN and MLP architectures. Their work involved creating new classes like `MlpGenerator` and `MlpModule`, along with associated tests and documentation, demonstrating a clear focus on model architecture design. The user also introduced pre-trained models for face detection and improved evaluation criteria, showcasing their involvement in model integration and performance assessment. Furthermore, they refactored code for the face detector.
pytorchpythondeep-learningautomated-machine-learningneural-architecture-search
droidadroit/r-soccer-goals
Apr 2019 - May 2019
Chrome extension that fetches the goals uploaded on r/soccer.
Contributions:6 releases, 30 commits, 1 PR in 1 month
goalschromefetchessoccerchrome-extension
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