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CAROLINE MWANGI

@carolinemwangi4

Senior software engineer delivering large-scale AI/ML-enabled messaging and cloud platforms.

United States
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What I'm looking for

I’m looking to lead backend and distributed systems work where AI/ML and real-time performance matter—building reliable microservices, scaling data pipelines, and improving observability so releases are faster with fewer incidents.

I’m a Senior Software Engineer with 9+ years designing and delivering large-scale consumer and cloud platforms, specializing in AI/ML-enabled applications, distributed systems, and high-performance web services. I focus on building resilient microservices and performance-critical real-time communication systems at global scale.

At Snap, I help support a messaging platform serving 470M+ daily active users. I engineered high-throughput real-time messaging services and architected scalable conversation state and metadata services, optimizing read/write access patterns and decreasing message thread loading latency by 35%.

I’ve also built and integrated media ingestion, processing, and AI-powered media classification using Python, FastAPI, TensorFlow inference APIs, and AWS, plus strengthened reliability with observability dashboards and automation. Through automated CI/CD and testing pipelines, I reduced incident detection time by 40%, accelerated release cycles by 45%, and decreased production regressions by 30%.

Experience

Work history, roles, and key accomplishments

Snap Inc. logoSI
Current

Senior Software Engineer

Mar 2021 - Present (5 years)

Contributed to Snapchat messaging platform architecture for 470M+ daily active users, improving behavioral consistency and enabling reliable delivery/synchronization of billions of chat events daily while reducing global message latency. Architected scalable conversation state/metadata services (decreasing message thread loading latency by 35%) and built observability/testing and CI/CD automation

AA

Software Development Engineer II

Feb 2017 - Mar 2021 (4 years 1 month)

Built backend microservices and scalable REST API infrastructure for multi-region AWS workloads serving millions of customers, improving request routing reliability and observability. Developed large-scale data processing and ML-ready pipelines (using S3, Lambda, EMR, and Spark) and optimized distributed databases (reducing high-volume query latency by 30%), while containerizing services into Jenk

Education

Degrees, certifications, and relevant coursework

Georgia Institute of Technology logoGT

Georgia Institute of Technology

Master's degree, Computer Science

2015 - 2017

Earned a master's degree in Computer Science at Georgia Institute of Technology from 2015 to 2017.

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