- Development and refactoring of internal recruitment back office with Cypress E2E tests - Development of a synchronization module between internal back office <> CRM - Development of a synchronization module between internal back office <> Contract management tool - Design and development of Deno 2 microservices with load management via BullMQ worker - Design and development of recruitment assistance Postings <> Candidates via AI - Development of in-house CV parsing by AI - Co-creation of an AI candidate matching SaaS Technologies: Node, Vue, GraphQL, Typescript, BullMQ, Redis, LLM, Deno, Vector search, n8n, Cypress, Jest, Hubspot, Gemini, OpenAI, MongoDB, Supabase, Postgres, Nuxt3

MVP of the application from a mockup. (Authentication, portal, photo upload, melanoma detection API, patient dashboard). Technologies: Next.js, React, React-Query, Tailwind, Django

- Student knowledge modeling via Knowledge Tracing and recommendations for personalized learning - Publication of an article on the first Machine Learning project at Ornikar - Modeling the insurance risk of driving school students - Analytical Engineering: consolidation of the dbt stack, addition of documentation, unit tests and data quality - Predictive algorithm for the probability of success in the theory test (+150k views / month) - Lead Scoring algorithm - Automation of inference pipelines via Airflow DAG - Optical Character Recognition (OCR) for administrative documents - Deployment of Cloud Run on Google Cloud Platform via Terraform Technologies: dbt, SQL, DVC, Python, Airflow, Docker, LightGBM, Scikit-learn, Bigquery, GCP, Terraform

- Sentiment analysis from pre-trained neural networks (+ 1000 requests/s) - Keyword extraction, Named Entity Recognition - Information stream clustering - Text graph creation - Real-time anomaly detection - Suggestion of the best time to publish - Instagram trend report - Logo detection in images - Knowledge graph Technologies: Python, NLP, spaCy, Scikit-learn, Pytorch, Keras, Tensorflow, Docker, BigQuery, gRPC