Software Engineer specializing in high-throughput distributed infrastructure, building autonomous AI agents, and automating complex engineering workflows. Welcome to my personal hub.
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My engineering work at Google and Amazon, system architecture, key projects, and skills.
View Portfolio →Run Llama-3-1B directly on your device GPU via WebGPU. Private, offline, and zero backend requests.
Open AI Sandbox →A collection of popular open-source web games including 2048, Hextris, Astray 3D, and Pacman.
Play in Browser →Thoughts on distributed systems, competitive programming, and machine learning research.
Read Articles →A summary of my education, academic research publications, contest records, and community talks.
Transitioned to Google Munich as Software Engineer after extensive tenure at Amazon Madrid as Software Development Engineer. Architected petabyte-scale storage, 150B+ email campaign infrastructure, and automated legal review pipelines.
Graduated with a B.Sc. in Computer Science & Engineering from the prestigious Islamic University of Technology (IUT). Featured by the IUT community and academic press as a celebrated graduate representing Bangladesh in Tier-1 global tech.
Veteran competitor across Codeforces, UVa Online Judge, Toph, AtCoder, and LeetCode. Contender in collegiate programming contests (including BRACU Techfest and ICPC regionals). Served as Programming Coach at Green University of Bangladesh and national contest judge.
Frequently invited guest speaker and mentor for tech sessions and university programming clubs (IUTCS, Uttara University CPC). Delivered workshops including "Building a Professional Portfolio with Git & GitHub" and career guidance webinars on cracking Big Tech interviews.
Author / creator of the published "HybridDataset for Bengali Image Captioning" published on Mendeley Data. Research focused on deep neural networks, CNN-LSTM models, and assistive computer vision technologies designed to aid visually impaired individuals.
Active builder on GitHub (Safayet-masum), developing developer tooling, autonomous AI workflows, automated test pipelines, and distributed utilities. Passionate about empowering engineering communities through open architectures.
Notes on scaling production systems, machine learning projects, and problem-solving.
Architectural insights, queuing mechanisms, and legal compliance safeguards when executing hyper-scale distributed campaigns at Google and Amazon.
How we leveraged deep learning architectures, attention mechanisms, and dataset curation to create state-of-the-art assistive captioning models.
How years of algorithmic contests on Codeforces, CodeChef, and university coaching shaped my approach to software engineering at Google and Amazon.
Feel free to reach out if you'd like to talk about backend systems, AI workflows, or potential collaborations.
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