Elia Schneider is a Senior Software Engineer at WireScreen, bringing over 9 years of experience in data science and software engineering. With a PhD in Physics from Università di Trento, he has a strong foundation in mathematics and problem-solving, which fuels his passion for continuous learning. Elia has worked on various innovative projects, including the productionalization of Generative AI models and the implementation of machine learning pipelines. His technical expertise encompasses software engineering, data science, and machine learning, particularly in Python and Natural Language Processing. Elia's analytical skills and hands-on coding abilities make him a valuable asset in developing complex systems.

- data and data cleaning - AI in data processing - modelling and forecasting

- Machine Learning to produce a drought index - AI and ontology classification - Feature Store - Data Pipeline and data extraction - Yield models - Chinese corporate data

Carlos Garcia is a Software Engineer at Bloomberg LP.

Developing Python and Rust projects including Advent of Code and Project Euler solutions. Maintaining personal dotfiles, .devcontainer environments, and VSCode configurations. Work focuses on algorithmic problem-solving and development tooling.

Adaptable generalist with a track record of implementing end-to-end ML pipelines. MMath in Theoretical Physics, combined with years of experience leading technical teams in building ML solutions for startups with applications ranging from large-scale NLP pipelines to time-series forecasting.

Alignment Model Efficieny

Voter Engagement and Targeting

I’m Abed, a PhD researcher in computational linguistics focused on understanding what modern language models can and cannot learn, using formal methods and linguistically grounded evaluation. My work sits at the intersection of language, cognition, and computation. I build reproducible pipelines and datasets, and I develop tools for segmenting, syllabifying, and analyzing stress and prosodic structure across Arabic dialects. I for linguistics I have built finite-state models for phonological constraints, and ML-based analyzers for speech and pronunciation. Outside of linguistics I have build production level systems for predicting weather's risk such as hurricanes and droughts.

Computational complexity, learnability, phonology, audio language models, speech to text.

Building a pipeline to build an audio speech language model that takes Arabic dialect variation into consideration Learning Cross-Dialectal Morphophonology with Syllable Structure Constraints Mapping Morphology to Phonology through Learning the Residuals Enhancing Arabic Word Embedding with Modified BERT Multilingual