Hello, I'm

Mohamed Elwaei

Computer Science graduate from the University of South Florida, with a minor in Mathematics. Graduating Cum Laude with a 3.69 GPA. Interested in systems, AI/ML, and full-stack engineering.

USF Green & Gold Presidential Scholar AWS Certified Undergraduate Teaching Assistant & Research Assistant
Get in touch View my work
Mohamed Elwaei

01 — About me

Who I am

Mohamed Elwaei

I'm a Computer Science graduate from the University of South Florida with a minor in Mathematics, graduating Cum Laude with a 3.69 GPA.

My experience spans systems programming, AI/ML research, and full-stack development. I've served as a Teaching Assistant for four upper-division CS courses — Data Structures in C++, Operating Systems, Software Engineering, and Computer Architecture.

I've worked as an Undergraduate Research Assistant in a computational biology lab that uses AI for drug discovery and genomics, and I've also contributed to a computer vision lab building CNNs and autoencoders.

Outside of tech, I volunteer with NSBE to bring STEM education to K-12 students across Tampa.

3.69
Cumulative GPA
4
TA'd Courses
150+
Students Mentored
3
Certifications
1000+
LeetCode + Competitive Programming Problems Solved

02 — Experience

Work & Research

Teaching Assistant

University of South Florida

Jan 2024 - Dec 2025
  • TA'd four upper-division courses: Data Structures in C++, Operating Systems, Software Engineering, and Computer Architecture.
  • Supported cohorts of 150+ students, clarifying advanced concepts and supporting academic success.
  • Evaluated and graded 1,200+ projects, assignments, quizzes, and exams with detailed feedback.
C++ Data Structures Algorithms

Student Researcher

USF Bellini College of AI, Cybersecurity & Computing

Aug 2025 - Jan 2026
  • Undergraduate research assistant in a computational biology lab using deep learning for drug discovery and protein function prediction.
  • Enrolled in the UR2PhD talent development program to build graduate-level research skills.
  • Previously built CNNs and autoencoders in a supervised computer vision research course.
Deep Learning PyTorch Computer Vision

Volunteer

NSBE USF Chapter

  • Delivered interactive STEM lessons to 50+ K-12 students, from elementary through high school.
  • Organized the Annual Walk for Education, distributing 22 SAT/ACT textbooks and running workshops for underprivileged college students.
  • Participated in Carter G. Woodson PK-8 STEM Day outreach event.
Community Service STEM Education

Mentee

Computing Research Association

Aug 2025 - Dec 2025
  • Engaged in the UR2PhD program focusing on fundamental research skills and methodology.
  • Collaborated with fellow mentees and a mentor to deepen understanding of academic research.
Research UR2PhD

Software & Design Lead

USF Foundations of Engineering (EGN 3000L)

Jan 2023 - May 2023
  • Led software and physical design of a follower robot — won best robot out of 100+ students.
  • Used TinkerCAD for CAD design and Arduino/C++ for embedded software implementation.
  • Delegated tasks across a team of 4 to deliver on time.
C++ Arduino TinkerCAD

03 — Skills

Technical skills

Languages

PythonPython CC C++C++ SQLSQL HTMLHTML CSSCSS VerilogVerilog RISC-VRISC-V Assembly

Technologies & Frameworks

PyTorchPyTorch CUDACUDA FlaskFlask DjangoDjango DockerDocker KubernetesKubernetes AWSAWS LinuxLinux

Areas of interest

Systems Programming Machine Learning Parallel Computing Compiler Design Database Design Cloud Architecture

04 — Academics

Relevant coursework

Computer Science

CSData Structures & Algorithms
CSOperating Systems
CSComputer Architecture
CSSoftware Engineering
CSParallel Computing (CUDA/GPU)
CSCompilers
CSDatabase Design
CSIntroduction to AI
CSAutomata & Formal Languages
CSSecure Coding
CSRobotics
CSProgram Design
CSComputer Organization
CSLogic & Digital Design
CSAnalysis of Algorithms
CSSupervised Research (×2)

Mathematics

MATHCalculus I–III
MATHLinear Algebra
MATHDifferential Equations
MATHDiscrete Structures
MATHComplex Variables
MATHVector Calculus
MATHBridge to Abstract Mathematics
MATHProbability & Statistics
MATHLinear Systems
MATHPhysics I & II

Miscellaneous

GENFoundations of Engineering
GENCommunication for Engineers
GENEthical Issues & Professional Conduct
GENMicroeconomics
GENMacroeconomics
GENMedical Terminology
GENAmerican History II
GENIntroduction to Philosophy

05 — Work

Projects

Polynomial Root Finder web GUI showing a degree-7 complex polynomial and its roots plotted on the complex plane

Parallelized Polynomial Root Finder

  • Locates every root of a complex polynomial via the argument principle: Cauchy/Fujiwara bounds establish a root-containing square, winding-number counting recursively subdivides it into quadrants, and multiplicity-aware Newton polishing refines results to machine precision.
  • Ported the winding-number counting step to CUDA, implementing and benchmarking three parallel strategies (per-cell, edge-gather, atomic-scatter) against the C++17 CPU reference, NumPy, and mpmath.
  • Built an interactive Flask + MathLive web GUI for entering complex-coefficient polynomials, switching between CPU/GPU backends, and visualizing roots on the complex plane.
C++ CUDA Python Flask Parallel Computing

Compiler for Diminished Java (DJ)

A full compiler for DJ — a Turing-complete, object-oriented language inspired by Java. Built the entire pipeline: lexical analysis, parsing, type checking, and RISC-style assembly generation with virtual method tables for dynamic dispatch.

C Flex Bison Yacc RISC-V

Financial Resources Scraper

A full-stack web application that scrapes and ingests data on thousands of stocks, ETFs, and cryptocurrencies. Built with BeautifulSoup and Flask, with a clean HTML/CSS frontend.

Python Flask BeautifulSoup HTML/CSS

Follower Robot — Best Robot Award

Designed and implemented a follower robot for K-12 students in Foundations of Engineering. Won best robot out of 100+ students. Led both the physical CAD design and embedded software.

C++ Arduino TinkerCAD

Pacman AI Agent

Implemented a suite of classical AI algorithms on the UC Berkeley Pacman framework, including A* search, BFS, and DFS for pathfinding, and adversarial agents using Minimax and Alpha-Beta Pruning. Extended to reinforcement learning with Value Iteration, Q-Learning, and Epsilon-Greedy exploration strategies.

Python Artificial Intelligence Reinforcement Learning

06 — Credentials

Certifications

Certified Cloud Practitioner

Amazon Web Services

View Cert → View Score →

Solutions Architect Associate

Amazon Web Services

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DevOps & Software Engineering Professional

IBM

View Cert →

Options 101

Akuna Capital

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07 — Connect

Socials