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Aaron E. Node.js, Python and Cloud Platforms

My name is Aaron E. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: JavaScript, Python, Django, node.js Framework, ExpressJS, etc.. Some of the notable projects I’ve worked on include: Smart Traffic Light System, Telegram Channel Cloner Bot, Multi-tenant Subscription SaaS, Job Management API, Loan Management API. I am based in Lagos, Nigeria. I've successfully completed 5 projects while developing at Softaims.

I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.

My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.

Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.

Main technologies

  • Node.js, Python and Cloud Platforms

    5 years

  • JavaScript

    4 Years

  • Python

    3 Years

  • Django

    3 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Flutterwave

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Experience Highlights

Smart Traffic Light System

Engineered a machine learning or data-driven model to intelligently manage traffic signals. The model processes input data (e.g., from simulated sensors or a dataset) to quantify the number of vehicles in each lane of an intersection. It then calculates and sets an optimal green light interval for each direction, with the objective of minimizing overall vehicle wait time. This project showcases an understanding of data processing, predictive modeling, and the application of algorithms to real-world infrastructure problems.

Telegram Channel Cloner Bot

A telegram bot that copys all files and messages from one channel to another, basically cloning the message history.

Multi-tenant Subscription SaaS

Sub-SaaS API is an open-source platform designed to help developers quickly implement multi-tenant subscription functionality in their SaaS applications. It provides a complete backend solution for managing users, tenants, and subscription plans.

Job Management API

An comprehensive production ready API the manages job posts and applications.

Loan Management API

This Loan Management Full stack application provides a reliable, secure, and flexible platform for managing loan operations, making it an ideal solution for financial institutions seeking to modernise and automate their lending processes

Languages

  • English
  • French

Personal Accounts