Mehdi Rahimi

I'm

About

I am a junior to mid-level backend developer with experience in developing applications for teams. I am motivated to join open source projects and contribute to making them better. I am a self-taught developer who is eager to learn new technologies and hone my skills. I have a good understanding of the fundamentals of software development, and I am always looking for ways to stay up to date with the latest tools and technologies. I am confident in my ability to quickly learn new languages and technologies and apply them to projects.

Birthday: 06 March 1999
City: Esfahan, Fereydunshahr

Email: mehdirahimi.dev@gmail.com

Interests

Software Development

Machine Learning

Natural Language Processing

Software Engineering

Visualization

Algorithms

Experience

Arizona State University

January 2021 - Present

Software Engineer

Managed large‑scale deployment of JupyterHub with Nbgrader and webwork software, facilitating approx 5500 students.
Configured, troubleshot, and administered server‑side web applications for the statistics department.
Handled Linux server administration and Apache configuration; automated tasks like user account creation, managing student database, and system maintenance using Shell and automation scripts, reducing manual work by 200%.

Augmenify Infotech Pvt. Ltd.

August 2020 - November 2020

Backend Developer

Documented and coded server‑less web application for the hotel industry and designed REST API using Flask‑based JWT authentication.
Redeveloped an existing system to support customer account management, scheduling, and time tracking; enabled dynamic API calls with the help of Amazon API Gateway, AWS Lambda, and DynamoDB.

Epitome Corporation Pvt. Ltd.

July 2019 - Dec 2019

Software Developer

Tested, designed, and developed backend APIs of WebRTC enabled multi‑party video conferencing web application and delivered the project 15 days ahead of schedule by efficiently designing the flow of the project.

Meditab Software Pvt. Ltd.

May 2018 - June 2018

Programmer Analyst

Optimized image processing algorithm of pill detection by creating customized MASKRCNN algorithm, increasing accuracy by 15%; trained classification algorithm with the help of triplet loss to learn the image embedding of pill, reducing the hassle of collecting data of new pills.
Devised a pipeline of the project to incorporate it into the product of the company. Implemented Restful APIs in Django that enabled our quality Analyst team to increase reporting speed by 46%.
Built a web app to onboard data from the company’s product using Flask, Postgres, and AWS S3, enabling interactive charts in real-time.
Mentored 2 interns to optimize the pill detection algorithm and to include the multiprocessing pipeline, increasing overall speed by 75%.

Space Application Centre, ISRO

Jan 2018 - May 2018

Research Intern

Implemented noise reduction algorithm on the satellite image and prepared architecture for detecting objects in high‑resolution satellite images, achieving 80% accuracy.
Increased accessibility of satellite image data by redesigning database and application for showcasing graphical data.