Eyoel Tekle

Software Engineer at Balance Day Spa

Constructed a secure, high-throughput payment gateway with Stripe API, processing over 20,000 monthly transactions with 99.99% uptime using Docker and AWS. Built a customer portal using Angular and TypeScript to manage subscriptions and service history, reducing support inquiries by 15%. Implemented Kafka-based event-driven marketing automation, improving campaign efficiency by 90%. Optimized a Python-based GAN image generation pipeline by refactoring backend API calls, reducing latency by 30%.

Software Engineer at Balance Day Spa

Constructed a secure, high-throughput payment gateway with the Stripe API, processing over 20,000 monthly transactions with 99.9% uptime and zero security breaches. Crafted a customer-facing portal using Angular and TypeScript, enabling users to manage subscriptions and view service history, reducing customer support inquiries by 15%. Instituted an event-driven marketing automation system using Kafka, boosting campaign efficiency by 90% via real-time subscription data and user behavior analysis. Optimized a Python-based GAN image generation pipeline by refactoring data processing and streaming backend API calls, reducing image generation latency by 30%.

Software Engineer at Balance Day Spa

Built a secure, scalable payment gateway integration with Stripe API; processed 20k+ monthly transactions with 99.99% uptime and maintained PCI compliance. Improved checkout flow to reduce friction and support growth.

Software Engineer at Yene Health

Architected a high-performance time-slot booking algorithm in Node.js, optimized for low latency and real-time updates; designed and implemented a microservice architecture, integrated real-time communication, and improved system scalability to support thousands of concurrent users.

Software Engineer at Balance Day Spa

Constructed a secure, high-throughput payment gateway with Stripe API, processing over 20,000 monthly transactions with 99.99% uptime and zero security breaches.

Software Engineer at Balance Day Spa

Constructed a secure, high-throughput payment gateway with Stripe API, processing over 20,000 monthly transactions with 99.999% uptime and zero security breaches. Crafted a customer-facing portal using Angular/TypeScript to manage subscriptions and view service history, reducing customer support inquiries by 15%. Instituted an event-driven marketing automation system using Kafka to boost campaign efficiency by optimizing real-time subscription data.

Software Engineer at Balance Day Spa (Remote, USA)

Constructed a secure, high-throughput payment gateway with the Stripe API, processing over 20,000 monthly transactions with 99.99% uptime and zero security breaches. Crafted the customer-facing portal using Angular and TypeScript, enabling users to manage subscriptions and view service history, reducing customer support inquiries by 15%. Established an event-driven marketing automation system using Kafka, boosting campaign efficiency by 90% via real-time subscription data. Optimized a Python-based GAN image generation pipeline by refactoring data processing and streaming backend API calls, reducing image generation latency by 30%.

Automation Engineer at Safaricom

Authored and maintained automated testing suites for the M-Pesa mobile payment platform using Appium and Python, achieving 96% test success rate and reducing manual QA time by 50%.

Software Engineer at YeneHealth

Architected a high-performance time-slot booking algorithm in Node.js, reducing booking latency by 40% and improving user retention. Implemented real-time telehealth features and event-driven backend services to support 10,000+ active users, increasing system reliability. Integrated payment gateway improvements enabling more users with limited internet access, boosting transactions success by 35% and expanding market reach.

Software Engineer at Yene Health

Architected a high-performance time-slot booking algorithm in Node.js, reducing booking latency by 40% and improving user retention. Engineered a scalable backend microservice, supporting 10,000+ active users with 99.99% uptime using Docker and AWS. Integrated USSD-based payments solutions and gateway integrations, increasing transaction success rate by 35% and expanding market reach to users with unreliable internet access. Revamped the order management system by optimizing data models and fulfillment workflows, cutting financial analysis and reporting time by 50%. Delivered core features for a telehealth platform with real-time communication, decreasing appointment booking friction by 30%.

Software Automation Engineer at Safaricom

Authored automated testing suites for the M-Pesa mobile payment platform using Appium and Python; achieved 96% test success rate and reduced QA time by 50%. Led CI automation and test coverage improvements.

Software Engineer at Safaricom

Authored and maintained automated testing suites for the M-Pesa mobile payments platform using Appium and Python, achieving a 96% test success rate and reducing manual QA time by 50%. Streamlined the SDLC by establishing a continuous feedback loop between QA, development, and user feedback, decreasing bug resolution time by 25%.

Software Engineer at YeneHealth

Architected and launched a high-performance time-slot booking backend in Node.js, reducing booking latency by 40% and improving user retention. Led backend design and optimized microservices architecture for scalable health-tech platform.

Software Automation Engineer at Safaricom TelecommunicationS

Authored and maintained automated testing suites for the M-Pesa mobile payment platform using Appium and Python, achieving a 96% test success rate and reducing manual QA time by 50%.

Software Engineer at Safaricom Telecommunications

Architected a high-performance time-slot booking algorithm in Node.js, reducing booking latency by 40% and supporting 10,000+ active users using Docker and AWS.

Software Automation Engineer at Safaricom Telecommunications

Authored and maintained automated testing suites for the M-Pesa mobile payment platform using Appium and Python, achieving 96% test success rate and reducing manual QA time by 50%. Streamlined the SDLC by establishing a continuous feedback loop between QA, development, and users, decreasing bug resolution time by 25%.

Software Engineer at Yene Health

Architected a high-performance time-slot booking algorithm in Node.js, reducing booking latency by 40% and improving user retention. Led backend services and collaborated with frontend teams to deliver scalable, reliable features for a health-tech platform.

Software Automation Engineer at Safaricom Telecommunications

Drove software automation initiatives for telecommunication systems, improving deployment efficiency and reliability across multiple services. Implemented automated testing and CI/CD pipelines, contributing to faster release cycles and reduced manual toil.

Software Engineer at YeneHealth

Architected a high-performance time-slot booking algorithm in Node.js, reducing booking latency by 40% and improving user retention. Engineered and launched a scalable telehealth backend microservice, supporting 10,000+ active users with 99.9% uptime using Docker and AWS. Integrated an SSD-based payment solution, increasing transaction success rate by 35% and expanding market reach to users with unreliable internet. Revamped the order management system by optimizing data models and fulfillment workflows, cutting financial analysis and reporting time by 50%. Delivered core features for a telehealth platform with real-time communication, decreasing appointment booking friction by 30%.

Machine Learning Intern at Intelog Lab

Advanced two big data machine learning pipelines by creating Python scripts for data preprocessing and feature engineering, improving data processing efficiency.

Machine Learning Intern at IC Lab

Advanced two big data machine learning pipelines; created scripts for data preprocessing and feature engineering to support model development.

Machine Learning Intern at ICG Lab

Developed two big data ML pipelines by creating Python scripts for data preprocessing and feature engineering, improving data processing efficiency.

Machine Learning Intern at IcogLab

Advanced two big data machine learning pipelines by creating Python scripts for data preprocessing and feature engineering, improving data processing efficiency.

Machine Learning Intern at icogLab

Developed and deployed two large data ML pipelines by creating Python scripts for data preprocessing and feature engineering, improving data processing efficiency.

Freelance Software Engineer at Gebeya

Developed and deployed 6 responsive front-end applications using React and Tailwind CSS, implementing SEO best practices that improved page loads by 20%. Established a unified authentication service using GraphQL and REST APIs to minimize redundant queries across applications by 80%.

Software Engineer at Gebeya (Freelance)

Developed and deployed 6 responsive front-end applications using React and Tailwind CSS, implementing SEO best practices that improved page loads by 20%. Established a unified authentication service using GraphQL and REST APIs, minimizing redundant queries by 80% across applications.

Freelance Software Engineer at Gebeya

Developed and deployed 6 responsive frontend applications using React and Tailwind CSS; implemented SEO best practices to improve page load speeds by 20% and enhanced accessibility.

Software Engineer at Gebeya

Developed and deployed six responsive front-end applications using React and Tailwind CSS, implementing SEO best practices that improved page load speeds by 20%.

Software Engineer - Freelancer at Gebeya

Developed and deployed 6 responsive front-end applications using React and Tailwind CSS, implementing SEO best practices that improved page loads by 20%.

Software Engineer - Freelance at Gebeya

Developed and deployed six responsive front-end applications using React and Tailwind CSS, implementing SEO best practices that improved page load speeds by 20%. Established a unified authentication service using GraphQL and REST APIs, minimizing redundant queries by 80% across applications.