Amit Feldman
Computer Science Student | Software Developer
Passionate about building elegant solutions to complex problems.
Currently studying at Reichman University and seeking opportunities to make an impact.
About Me
I'm a third-year Computer Science student at Reichman University with a GPA of 87, passionate about software development, and building innovative solutions. I have professional experience as a QA Automation Engineer at both Amazon and Semperis.
My work spans from building real-time multiplayer applications to computer vision projects using AI and machine learning. I enjoy tackling complex challenges and continuously learning new technologies to stay at the forefront of the industry.
I'm actively engaged in student clubs including the AI Club and Defense Tech Club, where I participate in weekly meetups focused on artificial intelligence, defense innovation, and emerging technology trends.
Skills
Programming Languages
- Java
- Python
- C
- JavaScript
- HTML
- CSS
Tools & Technologies
- Git
- Bash
- Linux
- SQL
- Azure
- Selenium
Languages
- Hebrew (Native)
- English (Fluent)
Experience
QA Automation Engineer
Semperis, DSP
2022 - 2023
- •Designed, wrote and executed comprehensive automation test suites for the product using Python, Pytest and Playwright
- •Worked extensively with Microsoft technologies including PowerShell, Microsoft Graph, Active Directory, and Azure Active Directory
- •Documented and managed work using Microsoft Azure DevOps
- •Collaborated as part of a Scrum Team to deliver high-quality software solutions
QA Automation Engineer
Amazon, Prime Air
2020 - 2022
- •Led and managed testing for the Vehicle Management System in Amazon Prime Air's drone software
- •Designed, wrote and ran automated test cases using Python with Amazon testing framework on Unix Shell
- •Worked with Linux operating system and Git for version control
- •Documented and managed work using Jama and Jira tools
Projects
UCL Multiplayer Football Trivia
A real-time multiplayer trivia game focused on the UEFA Champions League. Features timer-based rounds, lifelines, streak bonuses, and a live leaderboard. Built with Socket.IO for synchronized gameplay across all players.
Table Tennis Analyzer
Computer vision tool that analyzes table tennis matches using YOLO pose detection and EasyOCR. Tracks player positions, detects scores, and generates visual insights including heatmaps, animated heatmaps, and score charts.
Telegram Face Recognition Bot
An interactive Telegram bot for face recognition with multiple features: add and recognize faces, find similar celebrities, generate similarity maps using t-SNE, and compare faces. Built with advanced computer vision libraries.
Military Base OSINT Analyzer
AI-powered OSINT tool that analyzes military bases using satellite imagery from Google Earth. Features multi-step AI analysis with Gemini and OpenRouter LLMs, automated image capture via Selenium, and an interactive Streamlit dashboard with map visualization.
Messi Tower
A football-themed platformer game inspired by Icy Tower, set in Camp Nou Stadium. Features falling platforms, enemies, power-ups, VAR system, and score tracking. Built with Canvas API and vanilla JavaScript.
TeamMate
A comprehensive web application for balancing football teams, tracking game results, and managing player statistics. Features FIFA-style player attributes, smart team balancing algorithm, game history tracking, and achievements badges system.