Samandar Mirjalilov

Full Stack Dev | Python

Java

DevOps

Next.js

Hi there, I'm Samandar, a Mathematics graduate from the University of Warwick. I'm passionate about building scalable backend systems and full-stack applications that solve real-world problems.

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Experience

Software Developer Intern

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Moneff - Bootstrapepd Fintech Startup

Sep. 2025 – Dec. 2025

During this fintech internship, I gained comprehensive, hands-on experience across the full software lifecycle. I honed my backend development skills through coding, debugging, pair programming and basic database operations, while also developing a practical understanding of modern DevOps practices like CI/CD workflows, containerization, and system monitoring. Working within a fast-paced, agile, and cross-functional team was instrumental in sharpening my collaboration, communication, and problem-solving abilities. I had two mentors who allowed me to get stuck in from day one and greatly accelerated my development as a Software Engineer.

Open Source Contributor

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DVC - MLOps Platform

Jul. 2025 – Aug. 2025

I engineered the --hide-workspace flag in Python with accompanying unit tests. I collaborated with the project maintainers through Pull Request (#10798) to achieve a successful merge. I also authored the official documentation on Pull Request (#5427). I demonstrated deep engagement by identifying and flagging three additional undocmented flags under exp show.

Automation Engineering Intern

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Warwick Manufacturing Group

Jul. 2024 – Sep. 2024

I slashed a 3-week manual workflow to 3 minutes by developing an automated VBA macro to aid in the STPA process. I improved analysis consistency across Safety Analysts and ported the VBA process into a bare-bones Python backend framework for the companies software engineers to use when they begin developing their own inhouse tool.

Backend Engineer Intern

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Uzum - Tech Unicorn

Jul. 2022 – Sep. 2022

I desgined and developed an automated data pipeline to extract data from a MariaDB database and process over 5,000 client locations. This pipeline was integrated into the company's main KPI dashboard to improve operational planning through a geospatial visualisation model. My work culminated in developing an automated tracking algorithm that aided the companies lawyers in halving the debt recovery timeline for over a 1,000 cases.

Projects

Visit my GitHub for all my projects.