Position: Python Backend Engineer
Category: Python
English level: upper
Years of experience: 11

1.  tried to launch several startups. Didn't succeed, but  got a lot of experience in product development, research, making pitch decks and slides, market research etc.

2.  Finished hardware projects (incl. small robocar based on ROS/LIDAR/NVIDIA Tegra)

3. Worked on many interesting pet projects: age research, crawler,  bluetooth pass token,  near space balloon.

4. Have experience in Backend and AI. So I am able to make research, optimize models and move everything to production

5. Worked for Google Lunax X Prize Team
Some projects:
[pdf processing - fintech]
processing and analysis of financial pdf documents, OCR, dealing with pdf format issues, pdf/image compression and optimization, ghoscript based processing, dealing with font related issues

ghostscript, imagemagic, fitz, flask, AWS Lambda, AWS Textract

[Khumbu] 
image search engine based on AI and computer vision. Includes face recognition, object detection, image classification, metadata extraction, query processing.
Tools: Docker, RabbitMQ, Flask, Mongo, Keras, Tensorflow, Kubernetes, React, Helm, ElasticSearch 

[bots and image processing] 
create customer-specific NLP bots, deploy ML apps to cloud
Tools: Kubernetes, Helm, nvidia-docker, Flask, AWS, Airflow, nvidia-docker

[media assets management software]
face detection and recognition, image tagging, inappropriate content detection
Tools: OpenCV, Keras, Tensorflow, Docker; datasets cleaning and preprocessing

[autonomous robocar]
navigation, route planning and map building for small 4W robot
Tools: some hardware, OpenCV, ROS, LIDAR, ZED Camera, NVIDIA Tegra

[gene variations classification] 
detection of pathogenic variations in genes
Tools: pandas, scikit-learn

[ITraffic] 
detect empty parking lots using web camera to simplify parking process
Tools: Opencv, Caffe, digits, Python, Docker, RabbitMQ

[crawling/scraping]
large scale web crawling and data extraction
Tools: RabbitMQ, MySQL, Python, PhantomJS, RedShift, S3, EC2, ElasticSearch, NLTK

[Firefly] 
web manager for scientific papers
Tools: GridFS, TitanDB, ElasticSearch

[Nomad] 
distributed crawler
Tools: TitanDB, OrientDB, gremlin

[Denigma] 
tools for ageing research project, server administration, knowledge extraction
Tools: CloudStack, Scala, NLTK, OpenNLP

So in general:
Fields: 
     backend development - java/python stack, microservices, AWS, Kubernetes, docker, helm, databases,  rabbitmq, flask and all related tools
     AI  - convolutional neural networks, Keras, OpenCV, Tensorflow, scikit-image, scikit-learn	

1. Face detection and face recognition. 
2. Image classification and segmentation, object detection
3. ROS and some hardware projects (based on ROS/NVIDIA Tegra/LIDAR/stereocamera)
4. dataset creation, preparation, cleaning, labeling
5. some experience with BigData
0. Python Backend projects
1. career opportunities, business trips
2. no legacy projects
3. no corporate bullshit
4. AWS