Manel Baili

Internal ML engineering consultant across marketing, finance, and platform, bridging data science and production engineering. TPO: Trade Promotion Optimization • Owned end-to-end MLOps for a promotion planning and campaign optimization platform from problem framing through deployment and monitoring, serving multiple business units at scale. Recognized by Microsoft Azure ML PMs and Solution Architects as a leading enterprise implementation. Liquidity Prediction: Time-Series Forecasting • Delivered core ML

Remote data engineering consultant modernizing Allianz’s insurance data platform. Mira: Enterprise Insurance Data Platform • Designed and built Airflow pipelines automating ingestion and transformation across 5+ heterogeneous data sources, eliminating manual ETL and reducing data latency for downstream consumers. • Implemented production-grade FastAPI REST APIs exposing core data services to 4+ downstream teams, replacing fragile ad-hoc access patterns. • Took ownership of a legacy codebase: drove a system

End-to-end delivery across two AI products (Algostream and Aldoc) from architecture to production deployment. Algostream: Arabic News Streaming & NLP Service • Owned technical scoping of a real-time Arabic news streaming service (speech-to-text pipeline and downstream NER for topic/entity extraction), then built CI/CD for the NER service from scratch, reducing deployment cycle time from days to under one hour. Aldoc: Document Digitization Service • Led model selection across 5+ OCR candidates and built a

• Solving the Traveling Salesman Problem (TSP) using a model composed of GNNs, LSTM, and Attention Model trained with Reinforcement Learning • Conducting a comparative research of existing solutions used to solve the TSP

• Creating a prediction model for car pricing • Scraping over 300K car ads

• Developing a full-stack web application for data synchronization • Enabling the automation of data synchronization between the enterprise’s database and the carpooling application’s database