Ben Birnbaum

Enhanced predictive accuracy by 25% through the development of advanced CNN models for facial expression detection, applied in real-world use cases. Reduced threat response time by 40% by leveraging machine learning to improve DDoS detection and mitigation strategies in cybersecurity systems.

Developed and deployed ML-powered SaaS solutions, improving model inference speeds by 30% through optimized API design and efficient model serving strategies. Designed and implemented custom MLOps pipelines for automated model training, validation, and deployment, reducing manual intervention by 50%.

Leveraged advanced event management software and analytics tools to optimize event operations, reducing planning timelines by 30%. Secured exclusive partnerships by utilizing CRM platforms to streamline relationship management and enhance client retention.

Developed real-time anomaly detection models for network security, reducing false positive alerts by 40%, enhancing DDoS threat mitigation. Built and optimized ML-based threat intelligence systems, analyzing vast amounts of traffic data to predict and block malicious activities.

Designed, assisted, and implemented scalable backend solutions using Python and AWS technologies, optimizing platform performance and ensuring seamless user experiences. Collaborated cross-functionally to develop and deploy microservices architecture, enhancing backend system reliability and efficiency.

Streamlined inventory management by implementing automated tracking systems, reducing discrepancies by 20% and improving order accuracy. Optimized warehouse layout, increasing storage efficiency by 30% and reducing retrieval times for key items by 15%.

Streamlined shipping processes by coordinating with suppliers and carriers, achieving a 20% improvement in on-time order fulfillment and ensuring accurate inventory management. Addressed complex challenges, such as managing multiple shipments and resolving inventory discrepancies, by implementing data-driven solutions that reduced errors by 15%.

Currently pursuing a Master's degree in Machine Learning, focusing on advanced concepts and applications in the field. This program enhances my expertise in developing and deploying intelligent systems.

Completed a comprehensive engineering program, gaining foundational knowledge and practical skills in various engineering disciplines. This education provided a strong technical base for further specialization.

Undertook engineering studies, building a solid understanding of core engineering principles and problem-solving methodologies. This period contributed to my analytical and technical capabilities.

Engaged in a gap year program focused on Biblical Studies, developing critical thinking, textual analysis, and a broader cultural understanding. This experience fostered personal growth and intellectual discipline.