Computer Vision Developer

• Oct 2022 - Present

As a Data Scientist and Computer Vision Intern at Agado Live, I have developed a strong foundation in machine learning and computer vision while working in an Agile team environment. My experience with Python and JavaScript, Git version control, and Linux-based systems has allowed me to understand these programming languages and tools comprehensively, enabling me to convert ML algorithms from one language to another effectively. Additionally, I have gained extensive experience in video data collection, management, and processing. During my time at Agado Live, I achieved the following: • Worked in an Agile team. • Utilized Git for version control and collaboration, ensuring smooth and efficient teamwork on various projects. • Operated within a Linux environment, leveraging the platform's flexibility and power to optimize development tasks. • Converted machine learning algorithms from Python to JavaScript to enable client-side processing. • Collected video data for training ML models, utilizing strong attention to detail to ensure accurate data collection. • Managed and reorganized video data and metadata in our database, improving data management processes and streamlining team workflow. • Developed a new database using Python scripts, customizing it to meet the team's unique needs. • Designed and implemented an advanced application that synchronized and cut videos to match annotation files, utilizing advanced techniques to ensure accurate results. Show less

Freelance Data scientist | computer vision

• Jul 2022 - Oct 2022

Investment Banker

• Jan 2020 - Aug 2022

Executed buy/sell of Israeli and foreign stocks, advised, and purchased deposits for the bank's customers, in addition to data-driven processes optimization. • Developed a new management dashboard and visualization to evaluate individual team performance by goal segments: Customer recruitment, income, and deposits used by 10+ team members. • Managed a re-engineering process to improve the pipeline of potential clients to the foreign securities desk and reduced the time wasted on locating potential clients by 3/hr per week per employee. • Designed and implemented an automated transaction tracking excel spreadsheet, eliminating manual transaction tracking and resulting in a time-saving 10/hr per week. • Collected and analyzed team members' performance and used outputs to increase team efficiency. Show less

Front Desk Attendant

• Mar 2016 - Jan 2020

Armord Corps First Lieutenant

• Nov 2008 - Mar 2013