Position: Data Scientist/Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 2

Co-author of 20+ published papers in high-impact journals and several book chapters on optics.
PhD (Physics), University of Queensland, Australia.
Python: 2 years
Developed an algorithm for on-line sub-pixel detection of particles in microscopy images (Tensorflow /Keras/ OpenCV, NumPy).
Change detection in a noisy time-series signal (NumPy, OpenCV).
Created a protocol storage and calculation system for buffer solution preparation (non-commercial, SQLite, TKinter).
Snippets for excel data processing and conversion (Pandas, NumPy, Tkinter)
Data visualization (matplolib, seaborn)

MATLAB: 10 years. Data analysis and visualization, analog signal processing, image acquisition and processing.
A pipeline for cell image segmentation and protein tracking. 
Data visualization

LabVIEW: 7 years
Image processing and acquisition using CCD and CMOS cameras, camera synchronization with data acquisition systems, power spectrum analysis. 

Hardware experience:
Custom-built several optical microscopes, hands-on experience with optical detectors, data acquisition software, FPGA programming.

Other experience: 
UI development for online magazine (ActionScript 3, commercial)
Freelance: several small projects on data analysis (OCR, signal processing)
I have a strong mathematical background (statistics, tensor and vector analysis, linear algebra) and passion for ML/AI systems. Given my broad experience in image analysis and signal processing, a project in Computer Vision or image processing/generation would be a good fit for both parties. However, I would be happy to consider any interesting proposals related to data science and machine learning.