Daryan Qawami
ML Software Engineer at Sony Interactive Entertainment
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDaryan Qawami is an ML software engineer with nine years of experience building production-ready AI systems, from computer vision model optimization at Intel to graph analytics and distributed pathfinding at Katana Graph and mission-critical ML pipelines at Lockheed Martin Space. Based in San Francisco, he combines low-level C/C++ and Python expertise to squeeze performance—e.g., accelerating MATLAB minimization routines by 60% and adding C++ analytics with Python bindings for customer-facing notebooks. He focuses on practical, deployable solutions across the ML stack, including model quantization, EfficientDet replication, and large-scale graph algorithms, and now brings that systems-first approach to ML at Sony Interactive Entertainment. Outside of work he contributes open-source tooling for efficient GPU memory use and explores LLM and distributed training ideas, reflecting a curiosity for squeezing resource-constrained models into real-world products.
9 years of coding experience
5 years of employment as a software developer
California Polytechnic State University, San Luis ObispoValley Christian High School
Github Skills (54)
pytorch10
text-recognition10
anomaly-detection10
image-classification10
incremental-learning10
openmmlab10
openvino10
sift10
super-resolution10
semi-supervised-learning10
image-segmentation10
segmentation10
self-supervised-learning10
action-recognition10
text-detection10
Programming languages (3)
Github contributions (5)
dqawami/openvino_training_extensions
May 2020 - Jul 2021
Trainable models and NN optimization tools
Contributions:16 PRs, 31 pushes, 9 branches in 1 year 2 months
optimizationoptimization-toolsmachine-learning
dqawami/mmdetection
Jul 2020 - Feb 2021
OpenVINO Training Extensions Object Detection
Contributions:26 PRs, 87 pushes, 4 branches in 7 months
pytorchdeep-learningobject-detectioncomputer-visiontraining
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