Open to opportunities

Marah Al Homsi

@marahalhomsi

Message

I build secure Django backends and AI systems for intelligent information retrieval.

Syrian Arab Republic

Message

What I'm looking for

I'm looking to build secure backend and AI systems where I can apply Python, Django, NLP, and machine learning while growing through challenging engineering work and collaborative problem-solving.

I'm building Quantum That Al-Ahed, an electronic contract management platform, as Lead Backend & AI Developer. I design its Django backend, relational database models, RESTful APIs, notifications, and automated backups.

For the platform, I'm integrating an NLP contradiction-analysis module using a hybrid classical-quantum approach and Hadamard feature extraction to audit legal files for conflicting terms.

I've also built a semantic video retrieval system combining CLIP-based visual and textual embeddings with inverted indexing, and a delivery-demand forecasting pipeline using LightGBM, Random Forest, and Linear Regression.

Alongside my AI Engineering degree, I compete in Codeforces and ACPC Kickoff contests and have designed secure backend business logic and API data flows for a fintech hackathon prototype.

Experience

Work history, roles, and key accomplishments

Current

Lead Backend & AI Developer

Current

Quantum That Al-Ahed

Jan 2025 - Present (1 year 9 months)

Designing and engineering a comprehensive electronic contract management platform using Python and Django. Developing secure server-side logic, architecting relational database models, documenting RESTful APIs, and implementing notification and automated backup features.

Python Django REST APIs ERD PostgreSQL SQLite NLP Quantum Computing Hadamard Feature Extraction

Backend Engineer

SalamHack Hackathon

Jan 2026 - Present (9 months)

Collaborated in a financial technology hackathon organized by Tariq Labs. Architected the backend business logic and secure data flow, bridging services to the frontend via APIs.

Backend Development API Design System Architecture Security

AI Developer

Semantic Video Retrieval System

Jan 2026 - Present (9 months)

Engineered a hybrid video retrieval framework integrating a CLIP model for deep semantic understanding of visual and textual content. Combined deep visual embeddings with an inverted indexing pipeline to achieve exceptional lexical precision and contextual accuracy.

CLIP Machine Learning Video Retrieval Inverted Indexing Embeddings

Data Scientist / ML Developer

City Delivery Demand Prediction

Jan 2026 - Present (9 months)

Built a comprehensive end-to-end machine learning pipeline to forecast urban delivery volumes and optimize fleet deployment. Trained and hyper-tuned predictive models for tabular data using LightGBM, Random Forest, and Linear Regression to minimize RMSE.

LightGBM Random Forest Linear Regression Machine Learning data preprocessing Feature Engineering

Education

Degrees, certifications, and relevant coursework

Al-Sham Private University (ASPU)

Bachelor of Science, Artificial Intelligence Engineering

Activities and societies: Core Coursework: Database Management Systems (ERD/SQL), Advanced Machine Learning, Data Structures & Algorithms, Compiler Design, Telecommunications, Discrete Mathematics.

Pursuing a Bachelor of Science in Artificial Intelligence Engineering with expected graduation in 2027.