
Mario Tawfelis
Skills
Timeline
Professional experience for Mario Tawfelis
- Current 1 year and 8 months, since Sep 2024
Research Assistant
ScaDS.AI Dresden/Leipzig
- 8 months, Jan 2024 - Aug 2024
Software Developer
Upwork
• Developed an ETL pipeline using Python, BeautifulSoup, and Requests, leveraging MongoDB for data storage, processing and storing over 1500 products. • Integrated services like Discord, Zapier, and Yelp using FastAPI, enabling dynamic parameter handling and providing detailed OpenAPI documentation. • Built tools to translate MS PowerPoint slides into JSON objects and vice versa using Python. • Engineered an automation tool with Selenium, increasing social media engagement by 47%.
- 1 year, Jan 2023 - Dec 2023
Software Engineer
Xander Talent
• Facilitated educational sessions and technical interviews for onboarding new consultants. • Led a team to build an e-commerce web app using Django, React, and PostgreSQL. • Developed a lead generation solution via web scraping, identifying 300+ companies in minutes.
- 2 years and 1 month, Sep 2020 - Sep 2022
Software Engineer
RegGenome
• Built ETL pipelines, improving data ingestion efficiency by 30%. • Developed web crawlers for financial regulatory bodies using Scrapy. • Utilised Hugging Face transformers for multilingual translations of regulatory documents. • Conducted code reviews on GitHub, ensuring code quality. • Monitored and maintained AWS EC2 instances and user permissions using AWS IAM dashboard.
- 1 year and 1 month, Aug 2017 - Aug 2018
Python Developer
JWG
• Developed web scraping tools, increasing productivity by 80%. • Revamped the company’s website, improving SEO performance by 25 • Documented IT procedures for non-technical colleagues.
Educational background for Mario Tawfelis
- Current 1 year and 7 months, since Oct 2024
Distributed Systems Engineering
Technische Universität Dresden
- 1 year and 1 month, Sep 2019 - Sep 2020
Computational Finance
University College London
- 3 years and 10 months, Sep 2015 - Jun 2019
Computer Systems Engineering
Queen Mary, University of London
Languages
English
C2 (Expert / native speaker)
Arabic
C2 (Expert / native speaker)
German
A1-A2 (Basic)
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