Guy Maduel
Data scientist | ML Engineer | DevOps | B.Sc Computer Science // I Enhance efficiency and simplify problems by developing AI solutions.
- Role
- Data Scientist & Devops at Reichman University
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
About Guy Maduel
I’m a results-oriented Data Scientist with over 5 years of experience in data engineering, data analysis and DevOps. I build advanced AI solutions and data workflows, manage data throughout it’s entire lifecycle, and simplify complex challenges that drive measurable results and improve efficiency.Here are a few examples of my work- Built a Video-to-Text pipeline leveraging Azure Indexer AI and a custom Seq2Seq translation model. This Flask-based app automates audio transcription and enhances text outputs. It also allows flexible user interactions for uploading and processing files, streamlining workflows and improving accuracy- Designed and fine-tuned NLP models (LLMs, Transformers, RNNs) that achieved an average **40% error reduction** compared to state-of-the-art benchmarks.I’m passionate about building models that simplify everyday tasks and automate workflows, making life easier for everyone. I love working on crafting smarter tailored assistive tools that enhance productivity.
Experience
Data Scientist & Devops
Nov 2022 — Present · Herzliya, IL
Data Scientist & DevOps at the Data Science Institute of Reichman University.Model Development & Data ManagementDesigned and fine-tuned advanced NLP models, including LLMs, Transformers, CRFs, and RNNs, achieving an average 40% error reduction over state-of-the-art benchmarks. Built models for generative AI, topic modeling, classification, and sequence labeling, leveraging metrics like F1 score, ROUGE, and BLEU to optimize performance through hyperparameter tuning and cross-validation. Managed the entire data lifecycle, including collection, preprocessing, and post-processing, ensuring high-quality, production-ready datasets.DevOps & Platform DevelopmentDeveloped and deployed NLP tools, such as Flask applications and cloud-based platforms, to streamline annotation, performance analysis, and AI-powered workflows. Automated complex data science processes, including text fine-tuning and Azure audio recognition, transforming raw data into model-ready pipelines. Oversaw Azure cloud infrastructure, managing app deployments, data pipelines, and secure storage solutions while maintaining GitHub repositories and enabling seamless collaboration through continuous integration workflows.
Education
Reichman University (IDC Herzliya)
Bachelor of Science - BS
2020 — 2024
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