Available to hire
Hi, I’m John Nwatu, a full-stack engineer with 4+ years of experience building scalable web platforms and commerce-ready application architecture.\n\nI’ve built high-traffic services across content catalogs, stateful APIs, and data pipelines, translating complex workflows into maintainable systems, documentation, and launch-ready experiences that raised service quality by 27% and sustained 99.95% uptime across customer-facing releases at scale.
Skills
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Experience Level
Expert
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Language
English
Fluent
Work Experience
Senior Software Engineer at Amazon Prime Video
December 1, 2022 - PresentLed design of AWS-backed state distributed APIs with 4 product managers for 2 Prime Video sports workflows. Developed schedule validation services using Large Language Models that analyzed partner schedules against 3 catalog datasets. Coordinated with 5 cross-functional counterparts and implemented computer vision slate detection in production. Assessed code changes through design reviews, documented service behavior, and communicated risks during technical discussions with 6 engineers. Diagnosed issues in production and non-production environments, recommended validation thresholds, and mentored 3 engineers on automated test systems.
Software Engineer at Google LLC
July 1, 2020 - December 1, 2022Designed in-memory distributed key-value services that raise real-time ads availability to 99.99% across 7 serving clusters. Evaluated low-rate observability gaps, collaborated with 4 pipeline owners, and initiated low-latency data migration improving coverage by 20%. Facilitated delivery with 6 engineering and product teams to build MapReduce extraction services for new vertical data. Guided 5 engineers during code reviews, partnered with architects, and validated changes against internal standards.
Software Engineer at Twitter, Inc.
January 1, 2020 - April 1, 2020Implemented MapReduce ingestion jobs with 4 search engineers, processing 15M tweet records daily using Scalding. Authored dry-run staging workflows that reduced offline ingestion time by 40% and improved planning accuracy. Revised archive ingester modules from Java to Scala and validated unit tests to strengthen maintainability.
Software Engineer at QUALCOMM, Inc.
June 1, 2019 - August 1, 2019Streamlined performance reporting with 8 researchers, enabling faster comparison of memory allocation schemes on Snapdragon Hexagon. Improved C++ neural network kernels, increasing evaluation throughput by 10% on Snapdragon DSP targets.
Software Engineer at QUALCO M M INC
June 1, 2019 - August 1, 2019Evaluated neural network performance across 3 memory schemes, improving benchmark throughput by 10% for 4 chip-set teams. Verified Hexagon DSP kernel behavior, implemented automated reporting pipelines, and shortened model evaluation cycles by 15%.
Education
Master of Science in Electrical Engineering and Computer Science at Texas A&M University-Kingsville
January 11, 2030 - December 1, 2020Master of Science in Electrical Engineering and Computer Science at Texas A&M University-Kingsville
January 11, 2030 - December 1, 2020Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Professional Services
Skills
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Experience Level
Expert
Expert
Expert
Expert
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Intermediate
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