Position: Data science Machine Learning
Category: Python
English level: upper
Years of experience: 2


Through almost two years of (full-time and part-time) work at local companies in my country , I was able to expose my knowledge on Machine Learning and Artificial Intelligence, particularly computer vision and speech recognition. Additionally, I had focused on not only data collection, cleaning, and analysis but also developing AI based software applications.
Firstly,During my internship at Unibank in Azerbaijan, I gained my first valuable experience in working with big data (mostly audio format). As an intern the main part of my job was analyzing audio dataset, cleaning of audio which is not matched with transcript, and research about appropriate neural network models and frameworks for developing basic speech recognition bot on telegram. The aforementioned frameworks were Deepspeech and Kaldi.
Secondly, as a Machine Learning engineer, I am responsible for training face recognition models and applying them to the real time face detection and
recognition based project. Another essential part of my job is writing APIs with Python in order to provide connections between both back-end and front-end teams. Moreover, I have been working with the Milvus vector database for a year, thus I have deep knowledge to work with milvus collections and write complex queries for searching through vectors (embeddings).
Furthermore, I have been learning and practising back-end technologies with Python with self-study. I had taken remote jobs from Latvia that I supposed to write simple web applications.