Alexander Ponamarev
Computer Vision Research Engineer (Deep Learning) at Artisight
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolAlexander Ponamarev is a computer vision research engineer with 10 years of experience building deep learning systems for autonomy, robotics, and healthcare monitoring from Austin, TX. He designs and deploys production-grade models—YOLO-based detectors, backbone+LSTM action classifiers, and self-supervised learning pipelines—while owning ML DevOps, CI/CD, data versioning, and API service architecture. His work at Artisight focuses on patient monitoring where he pairs active learning and targeted dataset curation to surface and fix real-world failure modes. Previously he productionized NLP, OCR, and recommendation solutions at scale for enterprise clients, optimizing Python performance with Cython/C++ and cloud deployments on AWS/Azure. Comfortable bridging research and engineering, he also ported real-time pose models to Apple hardware using CoreML and MPS to hit 20 fps on device. Combining an MBA with focused AI and computer vision nanodegrees, he brings product-minded rigor to hard technical problems.
10 years of coding experience
3 years of employment as a software developer
Master of Business Administration (M.B.A.), Business Administration and Management, General, Master of Business Administration (M.B.A.), Business Administration and Management, General at University of Manchester - Manchester Business SchoolAI Nanodegree, Artificial Intelligence, AI Nanodegree, Artificial Intelligence at Udacity
English, Russian
Stackoverflow
46reputation
12kreached
4answers
0questions
Github Skills (39)
toolbox10
benchmark9
pytorch9
openmmlab9
instance-segmentation9
vision-transformer9
mask-rcnn9
object-detection9
faster-rcnn9
transformer8
swin-transformer8
retinanet8
glip7
deep-learning7
cloning7
Programming languages (2)
Github contributions (5)
aponamarev/FootBallTracking
Jun 2017 - Jul 2017
Contributions:158 pushes, 6 branches in 19 days
ap-nlp-research/language_translation_en_ru_tf2
May 2019 - Jun 2019
Test of various NLP architectures on ted_hrlr_translate - ru_to_en dataset. All architectures implemented in Tensorflow 2.0 with Python 3.6
Contributions:28 commits, 45 pushes, 1 branch in 23 days
nlparchitecturestedpythonbert
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