Raquib Alam is a Staff Machine Learning Engineer based in Toronto with 12 years of experience bridging machine learning research and production-grade software engineering. He specializes in NLP, large language models, signal processing, ASR/TTS and MLOps, and has a strong track record deploying scalable systems on AWS, GCP, and Kubernetes. Equally fluent in Python/PyTorch and Kotlin, he brings a mobile-first systems perspective from years leading Android teams and shipping high‑impact apps and libraries (including notable contributions to the popular Android-Week-View calendar library). His background blends academic rigor—a MPhil in Electrical and Information Engineering—with hands-on leadership building virtual assistants, AI voice synthesis, and real‑time sensor/robotics pipelines. Pragmatic and product-focused, he excels at turning complex models into resilient, user-facing services.
12 years of coding experience
13 years of employment as a software developer
The University of Sydney
HSC Science, HSC Science at Notre Dame College
SSC Science, SSC Science at Monipur High School
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Bangladesh University of Engineering and Technology
Android Week View is an android library to display calendars (week view or day view) within the app. It supports custom styling.
Role in this project:
Mobile Developer (Android)
Contributions:4 releases, 95 commits, 22 PRs in 5 years 11 months
Contributions summary:Raquib primarily contributed to the development of the Android Week View library. Their work focused on implementing core features, including the initial view implementation, adding setters for various attributes and fixing bugs. The user also added support for overlapping events, day name customizations, and added a time click listener to the library.
Contributions:49 commits, 56 pushes in 2 years 5 months
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Raquib Alam - Staff Machine Learning Engineer at Emergence AI