Ahmed Mohsen — Computer Engineering Student | Algorithms, AI & Competitive Programming

Algorithms & AI Engineer in Training

Schneider Electric Excellence Scholar at UFE, selected for outstanding academic merit (GPA 3.83/4.00). NVIDIA DLI certified in Deep Learning. Completed a full supervised learning pipeline with scikit-learn. Competitive programmer on Codeforces (hackgg106) — 250+ problems solved, training toward CF 1600+ and ICPC regional. Long-term goal: Research Engineer at ethical AI labs or European companies via French Masters.

01. Skills & Foundations

⚡

Languages

C++ (STL · OOP · Systems) Python (ML workflows)

🧠

ML & AI

scikit-learn NumPy NVIDIA DLI Deep Learning

💻

Environments & Tools

Git & GitHub VS Code · Colab Linux CLI JupyterLab GNU Make

📚

Foundations

Algorithms & Data Structures Supervised Machine Learning Deep Learning Linear Algebra Discrete Mathematics

C++ (STL · OOP) 90%

Algorithms & Data Structures 75%

Graph Algorithms 40%

Dynamic Programming 20%

Python · scikit-learn · NumPy 72%

02. Experience

Competitive Programming Member

ICPC — Université Française d'Égypte (UFE)

Nov 2025 — Present

Solved 250+ algorithmic problems on Codeforces, strengthening proficiency in data structures, recursion, and STL.
Applied prefix sums and sorting techniques to optimise time complexity across competitive problems.

Competitive Programmer Trainee

ICPC — University of Sadat City (USC)

Mar 2025 — Present

Implemented and optimised solutions using binary search, graph algorithms, and constructive approaches.
Reduced solution runtime through complexity optimisation: greedy, constructive, and ad-hoc techniques.

03. Projects

C++17 In Progress

↗

C++ Library Management System

C++17 · OOP · Custom Data Structures

Fully object-oriented command-line library system built from scratch in C++17 across 11 source files — zero external dependencies.

            Data Structure
            Custom HashMap — djb2 hash, open addressing, tombstone deletion, O(1) average lookup — designed from scratch rather than relying on std::unordered_map
          

            OOP Architecture
            Multi-class hierarchy (Book, Member, Librarian) with clean separation of concerns, encapsulation, and Makefile build system
          

            Persistence
            Pipe-delimited file I/O enabling full data retention across sessions — auto-save on every write operation
          

            Build
            GNU Make · g++ -std=c++17 -Wall -Wextra -O2
          

C++17 OOP Custom HashMap File I/O GNU Make Systems Design

04. Awards & Certifications

🏆

Schneider Electric & UFE Excellence Scholarship

Schneider Electric & Université Française d'Égypte · Sep 2025

Awarded for outstanding academic merit — selected from the full incoming Computer Engineering cohort.

DLI

Getting Started with Deep Learning

NVIDIA Deep Learning Institute

April 2026

Supervised Learning with scikit-learn

DataCamp

April 2026

365

Deep Learning with PyTorch

365 Data Science

March 2026

365

Git and GitHub

365 Data Science

March 2026