Software Engineer
Muhammad Fazeel Arif: Pioneering Software Solutions with a Flair for AI.
Embark on a journey with Muhammad Fazeel Arif, a Gold Medalist and a Master's in Artificial Intelligence student at FAU Erlangen-Nürnberg. With a foundation rooted in computer science, I am an innovator at heart, dedicated to transforming cutting-edge AI technology into dynamic software applications that drive progress and efficiency. My professional voyage has been marked by significant contributions to tech powerhouses like Aimino and Techlogix, where I've not only enhanced user engagement through superior web app performance but also fortified data analytics and machine learning paradigms.
April 2024 - Present
Nuremberg, Germany
December 2023 - March 2024
Erlangen, Germany
September 2023 - November 2023
Karlsruhe, Germany
September 2021 - August 2022
Lahore, Pakistan
October 2017 - August 2021
Lahore, Pakistan
May 2022 - March 2025
Erlangen, Germany
October 2017 - August 2021
Lahore, Pakistan
Firmware Downloader and Management Tool (Siemens Energy)
The software is able to download firmware images from vendor websites, extract metadata, and catalogue them. Users can trigger a download, review the results, and supply additional information in a management console. Downloads can be triggered repeatedly, are incremental, and can be accessed in the management dashboard for editing.
Identification of Apple Leaf Diseases using Deep Learning
Using digital image processing and a deep learning approach for the detection of apple leaf diseases. We have designed a platform that provides a solution for the diagnosis of apple leaf diseases.
OsmXchange
OsmXchange is not just a marketplace; it's a commitment to facilitating efficient connections between utilities seeking trustworthy service providers. Our platform allows service providers to showcase their offerings, giving utilities the freedom to choose based on their preferences. We've forged a strategic alliance with Omicron Electronics, Europe's largest manufacturer of testing devices, to ensure the utmost trustworthiness on our platform.
Cucumber Test Cases Generation with OpenAI
Automated Gherkin Scenario Generation Automate the conversion of test cases into Gherkin scenarios for BDD with the power of OpenAI's language models. After running the script, check the output for the generated Cucumber test cases. The output will be displayed in the terminal or saved to a specified file, depending on the script's implementation.
Munster Auto Market Analysis
The analysis involves data extraction from an SQLite database into Pandas DataFrames, followed by statistical and distribution analysis of vehicle data from the Munster district and AutoScout24. The study concludes with a temporal comparison showing a moderate positive correlation between the number of vehicles and average car prices, indicating a concurrent rise in vehicle inventory and prices.