Software Engineer / Medisim

Aug 2023 - Current

• Develop embedded software for Nordic's System on Chip (SoC), utilizing the Zephyr RTOS to enable medical device functionality in clinical settings and on the production line, ensuring seamless patient monitoring and manufacturing efficiency.
• Independently code desktop applications using the Electron framework and JavaScript, tailored for manufacturing personnel to streamline production processes.
• Ensure compliance with regulatory standards such as FDA regulations, and contribute to continuous improvement initiatives to optimize software quality and development efficiency.

Full-Stack Developer / Freelance

Jan 2023 - Current

Provide various software solutions & services ranging from development work, training and workshops.

Full-Stack Developer / BQR

Dec 2020 - Nov 2022

In my role, I was responsible for digital transformation and process automation by creating end-to-end workflows.

Key contributions:

• Streamlined day-to-day tasks and business processes with Python and Microsoft Power Automate.
• Developed a tiered triage system that eliminated 40% of support ticket backlog in less than 10 weeks.
• Implemented a learning management system that automated client training, allowing engineers to focus on other tasks, thus resulting in significant time savings for the company and increased flexibility for clients to access training materials on demand.
• Spearheaded a lead-scoring modeling project, resulting in a predictive resource allocation system that led to 37% increase in revenue.

Co-Founder &
Computer Vision Engineer / Cartomizer

Jan 2019 - Nov 2020

Designed and developed a cross-platform mobile application from the ground up.
Using computer vision techniques, the app has helped more than 300k users visualize how different wheels look on their cars, with virtually zero cost.

Key contributions:

• Introduced significant advancements to the automotive aftermarket industry, using various machine & deep learning techniques, such as object detection and transfer learning.
• Combined image processing techniques which improved user experience and result accuracy by more than 10%, leading to a 94% customer satisfaction.
• Deployed the model in Google Cloud Platform to serve more than 1k daily inference requests with median latency of 250ms.

Embedded Software Engineer / Qualcomm

May 2017 - Oct 2018

As a core memeber of the PCIe team within the SVE group, I was responsible for developing embedded software drivers and tests for Qualcomm Snapdragon SoCs. I worked closely with system architects, software teams, hardware designers and verification engineers on cutting edge mobile HW/SW as part of the pre and post silicon development and validation efforts.