Course code: WEB-047

Years with company: 1

Years programming: 5

Primary programming language: python

Other programming languages: r, julia, c++

Unit test harnesses: unittest, pytest, nose2

Something else: not much to say, i just gym, surf and do exercise besides work, i do alot of research into ml as its my academic focus

Test practice now: mainly ml code, so includes validating data pipelines, model performance, and reproducibility using the unit tests, integration tests, and metric based evaluations

Target system: microcontrollers, embedded devices, edge ai accelerators and npus

Dev tools: pytorch / tensorflow, huggingface, scikit, xgboost, mlflow, onnx, nvidia

Build time: 1-5 minutes

Coding standard: clean, modular, pep-8 compliant, type hint, config driven designs, and seperation of concerns

Function too long: too long when it tries to do more than one logical task, over 40-50 lines approx

Code reviews: focus on code clarity, reproducibility, data handling, evaluation logic. mix of software and ml

Code time: 50

Test time: 30

Debug time: 20

Favorite thing about dev: the freedom, and creativity you can explore with code, ml a mix of machine learning and standrd code

Least favorite thing about dev: sitting on my chair too long, back posture issues mainly

Tdd knowledge: test driven development is where you write tests before writing the actual code

Why are you attending: want to expand c++ testing as i dont do any, just python