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Nadia Gouroubera

Nadia Gouroubera

Machine Learning Intern Candidate · AI & NLP Enthusiast

Talent
Ottawa, ONMember since October 27, 2026
PythondebuggingPower BIMongoDB Atlas and Compasscross-validationclassificationregressionRandom ForestNetlifyscikit-learnTensorFlowSQLJavaScriptJavaNLPPrompt EngineeringLangChainText-to-Speech (TTS)MongoDBFlaskLead Generation PipelinesGoogle AnalyticsEmailJSGroq
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PythondebuggingPower BIMongoDB Atlas and Compasscross-validation

About

AI student at Collège La Cité with hands-on experience building and deploying machine learning models, NLP-powered chatbots, and end-to-end AI pipelines. Passionate about large language models, transformer architectures, and responsible AI.

Founded

MultiAgent IA, a real-world AI startup delivering custom conversational agents for businesses.

Experience

Founder & AI Developer at MultiAgent IA (2026-05 – Present)

  • Built a production-ready AI agent platform using Groq LLaMA 3.3, LangChain, and Python, deployed for real business clients.
  • Designed and implemented conversational memory, web search integration, and multi-domain NLP agents (restaurant, clinic, salon, e-commerce).
  • Created a universal widget.js enabling seamless chatbot integration on any website with a single line of code.
  • Managed full deployment pipeline: Flask backend, Netlify hosting, EmailJS notification system, Google Analytics tracking.
  • Acquired first users organically via TikTok and Instagram campaigns (4 000+ views, 94 unique visitors in first week).

Data Analyst — Volunteer at FedEthics (2026-06 – 2026-06)

  • Conducted critical analysis of AI governance datasets, identifying ethical compliance patterns across multiple frameworks.
  • Built Machine Learning models to assess algorithmic fairness and detect bias in training data pipelines.
  • Created a Text-to-Speech (TTS) audio model as part of an accessibility-focused AI research initiative.
  • Produced data visualizations and analytical reports with Power BI to support policy recommendations.
  • Collaborated remotely with an international team on AI ethics research and documentation.

AI & Web Development Student at Collège La Cité (2025 – Present)

  • Built full-stack web applications with HTML, CSS, JavaScript and integrated NLP-powered chatbots.
  • Developed ML and DL models (classification, regression, neural networks) using Python, scikit-learn, TensorFlow.
  • Designed and queried relational (SQL) and non-relational (MongoDB) databases for AI-driven applications.
  • Set up automated lead generation pipelines with data collection, cleaning, and structuring.

Education

DEC in Artificial Intelligence — Computer Science – Collège La Cité (2025-09)

Skills

Machine Learning Intern CandidateAI & NLP Enthusiast

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