Abdelmajid NIDNASSER
Abdelmajid NIDNASSER
PhD Candidate & Data Engineer
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Abdelmajid NIDNASSER

PhD Candidate & Data Engineer building reliable, AI‑powered products for startups and teams worldwide.

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Professional Experience

A comprehensive overview of my journey in AI, software engineering, and continuous learning. From academic excellence to real-world impact, each experience has shaped my expertise.

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Work Experience

Gen AI Engineer
Freelancer.com
Remote
Nov 2022 - Present
Freelance

Delivering high-quality AI-powered applications and privacy-focused solutions for diverse clients, consistently achieving top ratings and 100% on-time, on-budget project completion.

Key Achievements

  • Delivered 45+ client projects leveraging Generative AI and data-driven solutions, consistently aligning with client goals and business needs
  • Developed AI-powered applications and privacy-focused systems that enhanced user experience while safeguarding sensitive data
  • Earned a perfect 5.0-star rating across 48 client reviews by combining technical excellence with clear, reliable communication
  • Achieved 100% on-time delivery and 100% on-budget project completion, ensuring strong client trust and repeat collaborations

Technologies Used

PythonPyTorchTensorFlowHugging Face TransformersLangChainOpenAI GPT APIsStable DiffusionFastAPIDockerGit
Research Engineer
College of Computing - Mohammed VI Polytechnic University
Rabat, Morocco
Jan 2025 - Sept 2025
Internship

Designing and implementing scalable data pipelines and privacy-focused systems for ad detection across 100K+ websites, integrating ML workflows, OCR, and real-time analysis to enhance user transparency and block targeted ads.

Key Achievements

  • Designed and built a scalable data pipeline to support ad detection and privacy-focused analysis from 100K+ websites scraped via a custom crawler based on Tranco lists
  • Engineered robust ETL processes to ingest, clean, and enrich web data using automated classification across 12 categories and 35 subcategories
  • Collected and structured network-level and DOM-based signals to identify ad-related elements using community filter lists and advanced scraping methods
  • Extracted and stored 'Why This Ad' metadata at scale to analyze targeting strategies, contributing to user transparency on ad personalization
  • Built a semi-automated data cleaning framework to handle inconsistencies and noise, improving data quality for downstream processing and modeling
  • Integrated OCR capabilities for extracting text from ad images, enriching feature sets for analysis
  • Developed batch and real-time processing workflows to support machine learning pipelines for ad classification and detection
  • Contributed to the creation of a Chrome extension prototype backed by engineered data flows and inference pipelines, enabling real-time blocking of targeted ads

Technologies Used

PythonApache SparkETLMachine LearningOCRWeb ScrapingCustom CrawlersData CleaningChrome ExtensionsReal-time Processing

Ready to Leverage This Experience?

With a strong foundation in AI, data privacy, and advanced research methodologies, and proven results across multiple projects, I am ready to contribute cutting-edge solutions to your next research challenge.

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