João Fernandes

Software Engineer

Cambridge, England, United Kingdom8 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Stackforce AI infers this person is a Bioelectronics and Software Development expert with a focus on healthcare applications.

Web DevelopmentApplication DevelopmentBioelectronicsExperimental PhysicsResearch And DevelopmentMicrofluidics

PythonRustDjangoFlaskDockerAWS3D PrintingProduct DevelopmentSOLIDWORKSData AnalysisDjango REST FrameworkTTDAgile MethodologiesCloud ComputingDevOps

8 yrs 8 mos

Total Experience

2 yrs 2 mos

Average Tenure

2 yrs 6 mos

Current Experience

Dec 2023 – Present · 2 yrs 6 mos

Profile:
https://www.upwork.com/freelancers/~018636d1ec549a0ad6
Freelancing on Upwork in the area of desktop and web application development with Python and Rust. Web development with frameworks such as Django, Flask (Python) or Axum (Rust) on the backend and HTMX on the frontend.
Desktop application development via PyQT6/Pyside6 with Python or Tauri + HTMX with Rust.
Experienced in deployment technologies via Docker containers, Docker Compose stacks, Kubernete clusters and various AWS services such as EBS and EC2 instances.
Over 2000 hours working hours and 100% Job Success score on Upwork.

PythonRustDjangoFlaskDockerAWS+2

May 2023 – Dec 2023 · 7 mos · Cambridge, England, United Kingdom · Hybrid

3D PrintingDockerBioelectronics

Feb 2022 – Apr 2023 · 1 yr 2 mos · Cambridge, England, United Kingdom

Product DevelopmentSOLIDWORKSExperimental Physics

Sep 2017 – Feb 2022 · 4 yrs 5 mos · Southampton, England, United Kingdom

Development of a microfluidic Organ-on-Chip platform with integrated electrodes for epithelial cell barrier viability real time monitoring. Focus was put into making the platform simple and easy to use, with disposable microfluidic chips easily placed and aligned onto the platform. Droplet microfluidics were employed at end the platform for cell products analysis and allowing a quasi real-time quantification of important cell released cytokines. Software, both backend and frontend, for data analysis and mathematical modelling of electrical impedance spectroscopy data was written in Python to enable future users easy access to valuable cell barrier characteristics.

Data AnalysisSOLIDWORKSResearch and Development