Paul N.

Backend Engineer

Full-time available

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Bio

Paul N, is a highly skilled backend developer with a proven track record in various technologies such as Python, Django, Node.js, Docker, Kubernetes, and AWS. He has consistently demonstrated excellence in his coding assessments, achieving a percentile score of 100% on general and Python coding assessments, along with an impressive 88% on a multiple-choice assessment focusing on web security. His experience includes significant roles at Click2Sure Holdings LTD, where he led the upgrade of legacy codebases and optimized

  • Projects completed4
  • Hourly rate
  • 3-4 years experience
  • Nairobi
  • Member since Aug 2023
Industries
FinTechSocial & Consumer Apps
Expertise
GitKubernetesAWSFlaskPythonNodeJSMongoDBDatabase:RelationalSQL
Video Intro
Assessments

General Coding Assessment

three algorithms questions Leetcode Level medium · one algorithm question Leetcode Level hard

Projects

Money Mule Detection System

The Money Mule Detection System is an AI-driven intelligence platform designed to identify individuals and accounts being exploited as intermediaries in illegal financial activities. It continuously analyzes transactional behavior, account networks, device fingerprints, geographic patterns, and relationship graphs to detect anomalies that indicate mule activity, such as sudden spikes in inbound transfers, rapid pass-through of funds, links to known fraud clusters, or coordinated movement across multiple accounts. By combining machine-learning models with agentic reasoning, the system not only flags high-risk accounts but also explains the underlying patterns, enabling financial institutions and security agencies to intervene early, disrupt criminal networks, and safeguard the integrity of the national financial ecosystem.

PetGuard

This is a full-stack web application built with React.js on the frontend and Django REST Framework on the backend. It enables pet insurance service providers to run their operations end-to-end, including policy management, claims processing, customer onboarding, and administrative workflows. Depending on the client’s needs, I can deploy the complete system or deliver and integrate only the backend or frontend components.

Waza School

In this project I developed the website for the coding school, the teacher dashboard, student portal and the admin dashboard using ReactJs for frontend, supabase for data management and Django Rest Framework for backend.

REMS

REMS is a web-based property management platform which allows landlords and real-estate agents to onboard themselves and manage their properties. The platform is built using Python and Django as a full-stack application.

Experience
  1. Backend Developer

    Click2Sure Holdings LTD· FinTechMar 2022Jul 2023
    • Building backend services
    • Provisioning compute, databases and object-storage resources on AWS
    • Deploying containerized applications on AWS EKS
    • Integrating 3rd party APIs for SMS, Emails and Payments
    • Conducting products/features demos to clients.
    GitLabDjangoPythonDockerKubernetesAWSAPIsPostgreSQL
  2. Software Developer Intern

    Workfleek Technologies· Social & Consumer AppsMar 2021Dec 2021
    • Conducting code reviews and projects testing
    • Developed deliveries and pricing microservices for a pharmacies marketplace using NodeJs and ExpressJs.
    • Integrating 3rd party APIs for SMS, Emails, Payments and Maps.
    NodeJsExpressJsMongoDBDocker
  3. Backend Developer

    Monos AI· Social & Consumer AppsSep 2023Mar 2025
    • Created backend web services using Python, Django and Django Rest Framework.
    • Integrating 3rd party APIs, that is, Emails and Payments (Stripe).
    • Creating user interfaces using HTML, CSS, JavaScript and ReactJs.
    • Provisioning computing, storage and database resources on AWS.
    • Integrating Ai services into applications.
    PythonDjango Rest FrameworkLangChainLangGraphDockerStripeCeleryRedisAWS
  4. Backend Developer

    TechnoBrain Limited· FinTechFeb 2025Feb 2026
    • Working with the business processes automation team, I automated 10k man-hours to contribute towards the team's automation target of 100k+ man-hours.
    PythonMicrosoft Power AutomatePandasPyAutoGui
Education
  1. Bachelor of Science Information Technology

    Masinde Muliro University of Science And TechnologyKenya2018 — 2023
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