Robel Lager

Developed an advanced multimodal AI system for home security product recommendations and crime risk analysis, leveraging LLMs, Computer Vision, and Time-Series Forecasting. Built dynamic knowledge retrieval pipelines and a knowledge graph, alongside secure backend services using FastAPI and Node.js. Architected a scalable AI pipeline with FastAPI, Flask, and AWS Lambda, and implemented CI/CD using

Developed and deployed a ResNet50-based object detection model for real-time manufacturing defect detection, achieving high precision and accuracy. Enhanced image quality using GANs and Auto-Encoder models, and built intelligent customer support chatbots with GPT-4 and Claude. Engineered robust data pipelines using AWS S3, Apache Kafka, and GCP BigQuery, and utilized GCP Vertex AI for full-lifecyc

Led end-to-end development of AI-powered ICU monitoring systems, integrating 2D-to-3D pose estimation and real-time video analysis to detect critical patient conditions with high accuracy. Engineered predictive models and NLP solutions using BERT for patient outcome forecasting and developed speech recognition AI voice assistants. Architected scalable, secure healthcare infrastructure with distrib

Developed and deployed a real-time fraud detection system using machine learning algorithms, including anomaly detection and supervised classification models. Engineered robust feature engineering pipelines leveraging transactional metadata and time-series analysis to enhance model accuracy. Utilized Python libraries like Scikit-learn and Pandas, implementing gradient boosting techniques, and inte

Completed a Master of Science in Computer Science with a major in machine learning. Focused on advanced topics and research within the field.

Obtained a Bachelor of Science in Computer Science with a major in machine learning. Gained foundational knowledge and skills in the field.