Sirajul Salekin
Machine Learning Engineer at Apple
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolSirajul Salekin is a Machine Learning Engineer and AI scientist with nine years of experience and six years focused on building production-grade computer vision and generative AI systems. He has led high-performance ML teams for over three years, translating cross-functional product and design requirements into scalable solutions and measurable business impact. His work spans the full ML lifecycle—from research and model design to data curation, MLOps, and deployment on AWS—most recently designing multimodal data selection and annotation frameworks at Apple. He brings deep applied-research expertise in LLMs, transformers, diffusion models, CLIP, YOLO, and SAM, and a proven ability to implement state-of-the-art academic ideas in production. Notably, his background in large-scale genomics and massive-data ETL (handling 300M-row matrices and bespoke HDF5 pipelines) informs a practical approach to multimodal foundation-model data engineering. Based in San Diego, he pairs PhD-level research rigor with hands-on leadership that moves pilots into production.
9 years of coding experience
13 years of employment as a software developer
University of Texas at San AntonioBachelor of Science (B.Sc.) Electrical and Electronics Engineering, Bachelor of Science (B.Sc.) Electrical and Electronics Engineering at Bangladesh University of Engineering and Technology
English, Bengali, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
python10
tensorflow9
machine-learning9
deep-learning9
neural-network8
ml8
data-science8
deep-neural-networks8
Programming languages (2)
Github contributions (5)
sirajulsalekin/DeepSNR
Jun 2017 - Sep 2017
Contributions:19 commits, 18 pushes, 1 branch in 2 months
sirajulsalekin/MR-GAN
Oct 2017 - Apr 2020
Contributions:17 commits, 16 pushes, 1 branch in 2 years 5 months
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