Amir Dib

Driving end-to-end AI solutions from research to production, developing algorithmic libraries for high-impact industries. Led projects including a Market Mix Model managing $1B+ in ad spend, a global FMCG image recognition system, and industry-grade tech stacks in collaboration with Telecom ParisTech and Institut Polytechnique.

Leading a four-person team to design and implement new algorithms for large-scale transportation network management. Responsible for conceiving and delivering the R&D roadmap, developing production-ready, metric-driven algorithms, and communicating key results to investors.

Preparation of my Ph.D. thesis titled High dimensional pattern learning for symbolic time-series. My research focused on ML models for symbolic time series classification (DNA patterns, temporal graphs, text, pictures, etc).

Algorithm design for large-scale application on industrial systems. Include project supply chain optimization, predictive maintenance on the train fleet and infrastructure, transportation network optimisation, designing NLP solution for automatic report classification,