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Mohamed Gaye

@mohamedgaye

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Backend engineer specializing in distributed systems, microservices, and applied ML.

Rwanda

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What I'm looking for

I seek backend roles building scalable distributed systems with microservices and applied ML, in teams that value measurable impact, reliability, and mentorship.

I am a backend engineer with strong foundations in distributed systems, microservices, and applied machine learning, currently completing an M.S. in Information Technology at Carnegie Mellon University Africa. I have redesigned monolithic systems into microservices, implemented event streaming with Kafka, and secured services with JWT-based RBAC through API gateways.

My internships and freelance work demonstrate measurable impact: I reduced deployment time by 65%, improved system throughput by 55%, and built an RNN recommendation engine with 87% accuracy that boosted retention and engagement metrics. I am proficient in Java, Python, C++, Spring Boot, Django, Docker, Kubernetes, PostgreSQL, Redis, and CI/CD practices.

I lead student technical organizations and prioritize building scalable, reliable systems that serve many concurrent users. I seek opportunities where I can apply systems design and applied ML to deliver production-ready backend solutions and mentor engineering teams.

Experience

Work history, roles, and key accomplishments

Backend Developer

Institute of Legal Practice and Development

Jun 2025 - Dec 2025 (6 months)

Redesigned a monolithic system into 9 Spring Boot microservices, reducing deployment time by 65% and improving throughput by 55% through query optimization and indexing. Implemented Kafka streaming, Redis caching, and JWT-based RBAC via an API Gateway to secure 15+ endpoints and achieve 40% faster responses for 5,000+ concurrent users.

Java Spring Boot Microservices Kafka Redis JWT API Gateway PostgreSQL

Machine Learning Intern

GlobeDock

May 2024 - Aug 2024 (3 months)

Developed and deployed an RNN recommendation engine via a Django REST API achieving 87% accuracy and handling 2,000+ prediction requests/hour, which increased retention by 12% and CTR by 18%. Built an automated ML pipeline for preprocessing and model evaluation supporting 4,000+ active learners.

Python Django RNN REST APIs Pytest PostgreSQL data preprocessing

Backend Developer

Dropcolis

Jun 2021 - Jun 2022 (1 year)

Engineered a scalable Django backend processing 10,000+ monthly transactions across 3 payment gateways, integrated logistics APIs to reduce latency by 30%, and optimized PostgreSQL indexing to support 15% monthly user growth while maintaining 99.9% uptime.

Python Django PostgreSQL REST APIs Payment Integration Caching Monitoring SQL Optimization Scalability

Education

Degrees, certifications, and relevant coursework

Carnegie Mellon University Africa

Master of Science, Information Technology

Grade: 3.77

Activities and societies: President, French Club (2024–2025); Mastercard Foundation Scholar (2024–2026)

Pursuing Master of Science in Information Technology with coursework in Distributed Systems, Advanced Algorithms, Database Systems, and Software Architecture; expected graduation May 2026 with a 3.77 GPA.

Université Gaston Berger

Bachelor of Science, Information Systems

Activities and societies: Lead, Google Developer Student Club (2023–2024); President, Computer Science Club (2023–2024)

Completed Bachelor of Science in Information Systems with specializations in Software Engineering, Database Design, and System Architecture; graduated May 2024 as valedictorian.