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Schedule Interview NowMy name is Petar M. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Python, DevOps, AWS Lambda, DigitalOcean, Computer Vision, etc.. I hold a degree in Associate's degree, , Other. Some of the notable projects I’ve worked on include: BMW Racing Drivers/Teams Analytics and Evaluation Platform, Pygame Learning Programme, Netwealth, Automatic Youtube Uploader, Boostgram website and services, etc.. I am based in Ugljevik, Bosnia and Herzegovina. I've successfully completed 12 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
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NSoft
Led the development of a comprehensive platform to aggregate and analyze data on BMW-sponsored motorsport teams and drivers. Designed a custom system for data collection, cleaning, and validation, ensuring high accuracy. The platform streamlined data for advanced analytics, providing key insights into performance metrics. These insights were crucial for determining yearly award distributions based on drivers' and teams' performance evaluations. This version emphasizes leadership, technical expertise, and the impact of the platform.
As a National Consultant for UNDP, I was tasked with creating a learning material for teaching students Pygame. The Deliverable was a 7-day long course covering Python fundamentals and main Pygame topics.
I've worked on automatic video uploader for Youtube. Videos are being downloaded from Tiktok and then uploaded to YouTube through Google's API
The goal was to create an app that enables users to promote their social media accounts. The app actually collected payments and used 3rd party API to handle actual social media promotion. Frontend work was done using Bootstrap 5.0 Backend work was done using Python/Flask SQL Database was used Everything is hosted on DigitalOcean droplet and is being served through Cloudflare
Levi9 Hackaton winner project! The task was to make a serverless app to track and monetize an API usage. Whole structure is on AWS Cloud (using services shown in the image)
Associate's degree in
2021-01-01-2029-01-01
in RESTful APIs with Flask and Python
2019-01-01-2021-01-01
Other in Applied Physics, Electronics and Computer Science
2018-01-01-2021-01-01