Full-Stack Developer / Freelance

Jan 2023 - Current

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

Software Engineer / Medisim

Aug 2022 - Current

• Design and develop firmware for non-invasive temperature measurement devices, utilizing multiple System-on-Chip (SoC) platforms including Microchip's PICs, TI's MSP430 MCUs, and Nordic's nRF52 to ensure accurate and reliable temperature monitoring in clinical settings.
• Develop user-friendly production line tools using a combination of technologies:
  • Design and write terminal applications in C for core functionality and data processing.
  • Implement graphical user interfaces using VB.NET Windows Forms, providing intuitive controls for manufacturing personnel.
• 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 / BQR

Dec 2020 - May 2022

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

• Optimized application performance and reduced infrastructure expenses through the strategic migration from server based (Node.js) deployment to edge runtime, resulting in significant cost reduction and improved scalability.
• Deployed a machine learning model that eliminated 40% of support ticket backlog (HF, Cloudflare Workers).
• Developed RESTful APIs for integration with other systems.
• Developed a learning management system for the company’s clients.

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.