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SYVOLIA MARYSM
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SYVOLIA MARY

@syvoliamary

Frontend Developer at Malthe Winje Gruppen who cut deployment times by 50% with automated Azure DevOps pipelines.

Kenya
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At Malthe Winje Gruppen, I architect and maintain reusable React and TypeScript components, reducing feature development time by an estimated 20% across two product teams. I also translated Figma designs into production-ready interfaces and integrated REST APIs.

I built and maintained Azure DevOps pipelines that cut deployment times by about 50%, and implemented quality gates that reduced post-release hotfixes by roughly 30%.

At HalloPay Solutions, I engineered Node.js USSD loan application solutions that reduced completion time by 30%. I also maintained client systems achieving 98.5% SLA availability and built REST APIs supporting more than 200 daily transactions.

On my SME Intelligence, SmartDesk AI, and Event Ticketing projects, I built data-driven dashboards, AI-assisted support workflows, and transactional ticketing systems. My work includes idempotent jobs and webhooks, concurrency-safe updates, and payment integrations; I'm also MIT-certified in Data Science and Machine Learning.

Experience

Work history, roles, and key accomplishments

MG
Current

Frontend Developer

Malthe Winje Gruppen

Sep 2022 - Present (4 years 1 month)

Architected and maintained a library of reusable React and TypeScript components, reducing feature development time by an estimated 20% across 2 product teams. Translated complex Figma designs into high-fidelity, production-ready interfaces and integrated REST APIs into front-end applications.

HS

Backend Software Developer

HalloPay Solutions

Jan 2019 - Jan 2022 (3 years)

Engineered and launched Node.js USSD solutions that streamlined loan application processes, reducing application completion time by 30% and expanding service accessibility across 3 Mobile Network Operators. Maintained and optimized critical client systems to consistently achieve a 98.5% SLA availability.

EI

Software Developer

Eclectics International

Jun 2017 - Apr 2018 (10 months)

Architected and developed a mobile lending application using Ionic and Node.js USSD, simplifying loan borrowing for 100+ small business owners and reducing loan processing time by 30%. Integrated M-Pesa and Stripe payment systems to enable secure loan disbursements and repayments.

Education

Degrees, certifications, and relevant coursework

MT

Massachusetts Institute of Technology

Data Science and Machine Learning: Making Data-Driven Decisions, Data Science and Machine Learning

2024 - 2024

Completed the Data Science and Machine Learning: Making Data-Driven Decisions program at MIT Institute for Data, Systems, and Society (IDSS) from February 2024 to June 2024.

CA

Catholic University of Eastern Africa

Bachelor of Science, Computer Science

2013 - 2017

Bachelor of Science in Computer Science from the Catholic University of Eastern Africa, Nairobi, Kenya, from September 2013 to December 2017.

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