Mona Slomsky is a distinguished Senior Software Engineer with over 12 years of experience specializing in artificial intelligence and machine learning applications. Currently based in Berlin, Germany, she has a strong background in developing scalable backend systems and implementing cutting-edge ML models for data analysis and predictive insights. Mona is passionate about leveraging technology to solve complex real-world problems and has a proven track record of leading cross-functional teams to deliver innovative software solutions. She is an advocate for ethical AI development and actively contributes to open-source projects. Her expertise includes Python, TensorFlow, PyTorch, cloud platforms (AWS, GCP), and MLOps practices. Mona is known for her analytical skills, problem-solving capabilities, and her commitment to continuous learning in the rapidly evolving tech landscape.
Mona Slomsky's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the architecture and development of a machine learning-based fraud detection system that reduced fraudulent transactions by 18% for a major e-commerce client.
Co-authored a paper titled 'Scalable Architectures for Real-Time Anomaly Detection using Deep Learning', recognized for its innovative approach to handling large-scale data streams.
Delivered a keynote address on 'The Future of Ethical AI: Challenges and Opportunities', discussing responsible AI development and its societal impact.
Developed and patented a novel algorithm for sentiment analysis that improves accuracy in nuanced text by 12% over existing state-of-the-art methods.
Fox School of Business at Temple University
New York University
Penn State University
Lower Merion High School
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