Position: Software Engineer
Category: Python
English level: upper
Years of experience: 4

- Developed, deployed and maintained web applications for clients using Django and FastAPI, including projects such as Randomm, Sustie.io, Giving Mortgages, JSA.

- Developed and maintained over $10M worth of fitness app - JSA.

- Developed a ML model for classifying clothing types based on their names, achieving an accuracy of over 90% then containerized and deployed the model to the production.

- Implemented AWS and Google Cloud Platform, K8 to develop and implement solutions for 3+ clients resulting in 20% performance increase and 15% cost reduction.

- Developed a web scraper using Selenium to parse the Upwork platform and a machine learning model to create customized job offers for clients, reducing hiring time by 25%.

- Processed and analyzed over 500,000 rows of data using NumPy, Pandas, Matplotlib, resulting in a 20% increase in efficiency in decision-making for the companies.

- Built and maintained 3 web scrapers using Scrapy / Selenium, which extracted over 1 million data points from various sources, resulting in a 25% reduction in data collection time.

- Developed and deployed 6 bots for Telegram, Viber, Slack, and WhatsApp, which collectively reached over 200,000 users and increased customer engagement by 30%.
- Experienced Software Engineer with proficiency in all stages of advanced web and ML development, as well as Big Data processing.
- With a solid background in ML and Big Data, I excel in creating data-driven solutions and insights.
- Skilled in data analysis, self-management on independent projects, and team collaboration.
- In addition to professional engineering, I have taught Python programming and computer science to over 2000 students of all ages.
I'm looking for exactly:
- New knowledge and opportunities;
- Decent payment for my knowledge and experience;
- Professional team.