Zunayed Mahmud
Senior Data Scientist
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolZunayed Mahmud is a Senior Data Scientist with four years of experience building and deploying machine and deep learning solutions across computer vision, NLP, and generative AI. He has moved research ideas into production—fine-tuning VLPs, GANs, transformers and diffusion models, deploying scalable cloud/edge inference pipelines, and integrating RAG workflows to solve real-world telecom and cognitive science problems. His background blends academic rigor (MASc from Queen’s) with hands-on systems work: synthetic dataset generation, domain randomization for gaze estimation, and end-to-end cloud apps for visual attention analysis. At Huawei he worked on vision-and-language models for 6G use cases, and now applies that cross-disciplinary expertise to enterprise AI at BDO Canada. Colleagues know him for turning complex multimodal sensor and eye-tracking data into reproducible pipelines and performant models that bridge research and product.
3 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Electrical and Electronic Engineering, Bachelor of Science - BS Electrical and Electronic Engineering at BRAC UniversityMaster of Applied Science - MASc Electrical & Computer Engineering, Master of Applied Science - MASc Electrical & Computer Engineering at Queen's University
Github Skills (51)
neural-rendering10
unet-image-segmentation10
computer-vision9
keras-tensorflow9
convolutional-neural-networks9
computer-graphics9
transfer-learning9
object-detection8
cli8
python8
keras8
pose-estimation8
geometry7
stereo7
image-classification7
Programming languages (5)
Github contributions (5)
z-mahmud22/MSGazeNet
Jun 2022 - Sep 2022
This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning" accepted in IEEE Transactions on Artificial Intelligence
Contributions:72 commits, 13 pushes in 3 months
deep-learningdomain-randomizationeye-region-isolationeye-segmentationgaze-estimation
z-mahmud22/Mask-RCNN_TF2.14.0
Nov 2023 - Nov 2024
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.14.0 and Python 3.10.12
Contributions:11 PRs, 11 pushes, 5 branches in 11 months
computer-visionconvolutional-neural-networksdeep-learninginstance-segmenationkeras
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