Aseem Saxena
Machine Learning Engineer at Codeflash
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAseem Saxena is a Machine Learning Engineer based in San Francisco with 11 years of experience building reliable, resource-aware ML systems and a five-year focus on deploying deep learning at the Edge and Cloud. He currently develops provably faster code rewrites at CodeFlash, experimenting with cutting-edge LLMs to cut compute costs and developer time. His work bridges academic rigor and applied engineering—publishing at AAAI, NeurIPS, ICRA and RSS on topics from bipedal robots to autonomous driving and computer vision, and delivering Bayesian optimization and on-device inference at Panasonic. Aseem’s research background in uncertainty quantification, sim-to-real locomotion, and RAG-enabled VLMs informs practical solutions that perform safely under data and resource constraints. He combines robotics-grade control and probabilistic methods with modern ML tooling to optimize both model behavior and system efficiency.
11 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Oregon State University
English, Hindi, Sanskrit
Stackoverflow
83reputation
5kreached
1answer
2questions
Github Skills (102)
python10
image-processing10
single-file10
wandb10
object-detection10
deep-reinforcement-learning10
actor-critic10
q-learning10
gomoku10
image-segmentation10
image-augmentation10
machine-learning10
segmentation10
proximal-policy-optimization10
pickle9
Programming languages (8)
Github contributions (5)
aseembits93/ml_blogs
Dec 2017 - Mar 2024
Contributions:21 pushes, 1 branch in 6 years 4 months
aseembits93/VS_CNN
Jun 2017 - Oct 2018
Contributions:15 commits, 14 pushes, 1 branch in 1 year 4 months
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