Hi, I'm Safayet Hossain Masum. A performance-driven engineer with 4 years at Google and Amazon specializing in high-throughput backend infrastructure, legal compliance automation, and computer vision.
Scale, Reliability & Legal Compliance
Legally sensitive emails delivered
Yearly earnings impact at Amazon
Petabytes saved in consent storage
Infra cost reduced by redesign
I am a Software Engineer with 4 years of experience across Google and Amazon, specializing in building high-availability, legally compliant backend infrastructure, scalable automated systems, and applied machine learning tools.
Throughout my tenure in Big Tech, I have consistently navigated high ambiguity to deliver massive scale. At Amazon, I led technical execution for country-wide product releases, re-architected services to slash infrastructure costs by 75%, and contributed to scaling customer volume by 20x.
At Google, I architect mission-critical infrastructure that handles legal consents, automated translation review workflows, and coordinated high-volume user campaigns across the globe.
My passion lies at the intersection of Artificial Intelligence, Computer Vision, and Distributed Systems. I am enthusiastic about building next-generation, AI-first technologies that solve complex real-world challenges.
B.Sc. in Computer Science & Engineering
Problem Solving & Algorithmic Excellence
Active competitor on Codeforces, CodeChef, Toph, and StopStalk. Former Programming Coach at Green University of Bangladesh and National Level Contest Judge.
Engineering reliable, legal-compliant, high-volume systems that impact billions of users worldwide.
Software Engineer II
Jul 2025 – Present
Munich, Germany
Software Development Engineer II
Oct 2022 – Jun 2025
Madrid, Spain
Programming Coach
Jun 2022 – Sep 2022
Dhaka, Bangladesh
Mentored university students on Data Structures, Algorithms, Graph Theory, and Competitive Programming utilizing C++.
A versatile toolkit spanning systems programming, cloud infrastructure, and state-of-the-art AI.
A showcase of novel deep learning applications, high-performance systems software, and distributed tools.
Designed and trained a novel machine learning model to facilitate spatial navigation for visually impaired individuals through real-time scene captioning. Later built a Bengali captioning model that achieved state-of-the-art results for the language.
Constructed a comprehensive automated code judge for university programming contests and lab evaluations. Includes sandboxed compilation, offline problem solving mode, performance metrics storage, and an automated plagiarism detection checker.
Deep-dives into distributed architectures, computer vision thesis research, and algorithmic mastery.
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.
Interested in discussing distributed architectures, AI research collaborations, or engineering opportunities? Reach out directly.
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