L
Lucas Gabriel
About
Detail
Russia
Résumé
Jobs
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Senior AI EngineerUnhcrAug 2023 - Nov 2025 (2 years 4 months)- Developed an AI-Based Diagnostic Assistant using Python, TensorFlow, FastAPI, PostgreSQL, React, and Docker, creating predictive models for early detection of diseases using patient history and imaging data, improving diagnostic accuracy and reducing analysis time.
- Engineered deep learning models using TensorFlow and PyTorch, implementing convolutional neural networks for medical image analysis, natural language processing models for clinical note analysis, and ensemble methods for improved prediction accuracy.
- Built data processing pipelines using Python, Pandas, and NumPy, handling feature engineering, data cleaning, and preprocessing of medical imaging data, patient records, and clinical notes for ML model training.- AI EngineerIBM ArgentinaDec 2018 - Jul 2023 (4 years 8 months)- Developed a Real-Time Fraud Detection Engine using Python, TensorFlow, Node.js, SQL Server, Kafka, Redis, and AWS Lambda, detecting anomalies in financial transactions using ML models with high accuracy and low latency.
- Engineered machine learning models using scikit-learn and TensorFlow, implementing gradient boosting, random forests, and deep neural networks for fraud detection, achieving high precision and recall rates.
- Built real-time stream processing pipelines using Python, Spark Streaming, and Kafka, processing millions of transactions per day, extracting features, and applying ML models for instant fraud detection.
- Implemented feature engineering pipelines using Python and Pandas, creating transaction features - TAI DeveloperTechTIQ SolutionsAug 2017 - Nov 2018 (1 year 4 months)- Contributed to machine learning projects in e-commerce and financial services domains, working with Python, scikit-learn, Pandas, and data analysis tools.
- Developed data preprocessing scripts using Python and Pandas, handling data cleaning, transformation, and feature engineering for ML model training pipelines.
- Built basic machine learning models using scikit-learn, implementing classification and regression models for recommendation systems and predictive analytics.
- Implemented data visualization using Matplotlib and Seaborn, creating charts and dashboards for exploratory data analysis and model performance visualization.
- Integrated third-party ML APIs and services, handling API responses and implementing bas
Education
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- Bachelor's degree, Computer ScienceNational University of SingaporeApr 2013 - Jul 2017 (4 years 4 months)