Leandro Almeida Email & Phone Number

Kirkland, Wa, Us

Los Angeles, California, Us

- Gave myself a short runway to bootstrap out a technical side project focused on data aggregation and experimentation data layer focused on crop storage and packaging ecosystem.- Designed and implemented fine-tuned RAG systems to assist in designing experiments in crop storage and resource management.

San Jose, California, Us

Lead Machine Learning and Data Science Strategy and Teams Globally at Telesense and DECCO. Incorporate and Develop machine learning algorithms for real-time monitoring, providing prescripted and predictive insights and optimizing quality preservation and ROI.

St. Louis, Missouri, Us

Led four foundational models teams of 35+ Data Scientists and ML scientists across crops, focused on Genetics, Geospatial/Weather, Management practices, and Multi-Modalility models to help growers increase efficiency and achieve their goals with a clear understanding of risks that may affect their operations. Designed and Implemented the MLOps strategy through cross-functional collaborations.

Seattle, Wa, Us

Leandro Almeida leads the data science team at WhyLabs, the AI Observability company on a mission to build the interface between AI and human operators.

Bellevue, Washington, Us

Lead the data science team which oversaw building and deploying a recommendation engine for matching millions of products using multimodal deep learning methods.

Paris, Île-De-France, Fr

Lead and Manage a ML/data science team, with 8 members, and oversee the company's machine learning and computer vision related products and strategy. Designed, implemented, and maintained a data science MLOps pipeline, which involved deep learning computer vision methods, along with APIs for visualization, and statistical reporting. Oversaw 2 Ph.D. student on Machine Learning methods in . computer vision within Medical Image analysis. Met with clients and ensured their scientific needs were met by our image analysis and statistical reporting platform. Took us from pre-seed past series A.

Paris, Fr

-Modelling of proteins density distribution within neurons, using a variety of numerical techniques, based on input from super-resolution images.-Statistical, and image analysis for Multi Modality images. -Lead the development of projects and co-authored 3 peer-reviewed papers articulating our research results. -Developed supervised and unsupervised machine learning techniques for classification and detection of synaptic clusters.

Paris, France, Fr

Upton, Ny, Us

-Quantitative modeling of Jet Physics -Computation of higher order terms in QCD calculations.

- Developed Methods and Algorithms for Detection and Classification of Jets- Developed Methods for All orders calculations for QCD physics and Jet

Stony Brook, Ny, Us

Meyrin, Genève, Ch

Worked on Software for particle detection in Multi-wire proportional chambers

Strategy Execution

Ph. D., Theoretical Physics

Organizational Leadership

B.S., Physics