Malek Swilam

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Incoming Computer Engineering student at George Mason University's Honors College with a passion for machine learning, computer vision, and robotics.

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About

I'm from Fairfax, Virginia, starting at George Mason University's Honors College for Computer Engineering this fall.

I did ML research at GMU, co-built OCRadar, an AI app that screens for oral cancer with 98% accuracy, and led software development for an FTC robotics team.

Outside of code, I'm an Eagle Scout, a rank that takes years of leadership, community service, and sustained effort to earn.

Experience

Jun 2026 – Present Remote
  • Newly started role contributing to Yanez AI, a domain-specific generative-AI platform for sanctions screening and regulatory compliance
Generative AI Compliance Tech

Engineering Intern

Alarm.com ↗
May 2026 · 1 mo Tysons Corner, VA · On-site
  • Performed hands-on hardware lab work including soldering buck converters and embedded boards, bringing up low-level power circuits and embedded components
  • Assembled RJ45 Ethernet cables and provisioned Raspberry Pi units, building out the physical test automation infrastructure used across the hardware QA team
  • Configured and integrated home security devices (locks, contact/tilt sensors, lighting, cameras, thermostats, doorbells, and Flex I/O) into automated testing workflows across hardware QA cycles
  • Built an internal software tool for lab device management, streamlining device tracking and provisioning for the hardware QA team
Hardware QA Embedded Systems IoT Soldering Raspberry Pi AI Tooling Python

Machine Learning Research Intern

George Mason University — ASSIP ↗
Jun – Sep 2025 · 4 mos Fairfax, VA · Hybrid
  • Built a full ML pipeline (data preprocessing, training, evaluation) for short-term rainfall forecasting, implementing and comparing LSTM, XGBoost, and ensemble models evaluated via MAE, RMSE, and R²
  • Improved rainfall prediction accuracy by 12–15% over individual models by combining LSTM and XGBoost into an ensemble, achieving 96%+ of predictions within ±1 mm of actual
Python PyTorch LSTM XGBoost ML Pipelines
View Abstract ↗
2023 – 2026 · 2 Seasons Vienna, VA
  • Led all robot software development in Java across two varsity seasons; mentored junior programmers in Java, Git, and FTC SDK over summer offseason
  • Built autonomous localization pipeline fusing wheel odometry with IMU for pose estimation; integrated AprilTag detection for field-relative pose correction; implemented motion profiling and trajectory planning via Road Runner
  • Developed a multi-mode vision targeting system using a Limelight camera backed by a finite state machine; implemented a PD controller on angular error for closed-loop real-time turret aiming
  • Designed multi-subsystem PIDF control: turret with adaptive static friction and velocity feedforward; flywheel velocity controller with piecewise-linear distance-regression model for range compensation
  • Implemented a 3-DOF PD controller with field-to-body-frame error projection for pose stabilization during shooting; tuned all PID coefficients
  • Qualified for State Championship both seasons and World Championship one season (ranked 8th seed captain in division)
Java Computer Vision PIDF Control Sensor Fusion Localization & Path Planning Road Runner Git / GitHub
DECODE Season Code ↗

Projects
Public repo & demo coming soon

Voice-Controlled Robotics Agent

A fully voice-controlled robotic manipulation agent running in MuJoCo physics simulation. Speak a natural-language command (like "stack the red cube on the blue cylinder") and a Franka Panda arm plans and executes it in real time. An LLM performs task decomposition into ordered sub-goals via chain-of-thought reasoning, detects mid-task failures, and triggers agentic replanning to recover. Voice commands are transcribed via a speech-to-text API and responses spoken back via a text-to-speech API. A second independent LLM call verifies the live scene against the goal state before reporting success. Robot motion is solved via inverse kinematics using the mink library. Live simulation streams through a FastAPI WebSocket portal.

Python Agentic AI Embodied AI Claude API LLM Planning Inverse Kinematics MuJoCo Voice Control FastAPI
OCRadar logo
GitHub Visit Site

OCRadar ↗

AI-powered iOS & Android app for early-stage oral cancer screening. Uses Azure AI Vision for real-time oral cancer classification from camera capture, achieving 98% accuracy. Features an intuitive, polished UI for clinical and personal use.

Python Computer Vision Azure AI Vision Flutter Dart
View All on GitHub

Skills

Languages
Java Python Dart JavaScript HTML / CSS
Frameworks
PyTorch OpenCV XGBoost NumPy Flutter MuJoCo
Tools
Git / GitHub JetBrains IDEs Azure AI VS Code FTC SDK Anthropic API
Focus
Machine Learning Computer Vision Robotics IoT Systems Control Systems

Honors & Awards

⚜️
Eagle Scout Boy Scouts of America · highest rank attainable
Oakton Cougar Robotics
FTC World Championships 8th seed captain in Division · 2025
🎖️
T.R. Cook Award of Excellence in Technology Optimist Club of Greater Vienna · 2025

Education

Incoming Fall 2026

George Mason University ↗

Honors College

B.S. Computer Engineering

Expected May 2030 · Fairfax, VA

Oakton High School ↗

Advanced Studies Diploma

Aug 2022 – Jun 2026 · Vienna, VA

AP Computer Science A · AP Computer Science Principles · Advanced Data Structures & Algorithms · AP Calculus BC · AP Statistics · AP Physics 1 · AP Physics C: Mechanics · AP Physics C: Electricity & Magnetism · STEM Engineering · AP Macroeconomics · AP Microeconomics

Northern Virginia Community College ↗

Non-Degree Seeking · Dual Enrollment

GPA 4.0

Aug 2024 – 2026 · Annandale, VA

Dual Enrollment English 12 · Dual Enrollment Entrepreneurship

Contact

Open to opportunities, projects, or just reaching out.

Say Hello
LinkedIn GitHub