Jeremy Jalnos

Scaled wallet management system to over 10 million users by optimizing Django-based APIs and PostgreSQL queries, reducing latency by 30% under peak load conditions. Enhanced cold storage security protocols, reducing vulnerability to cyberattacks by 60% through multi-signature authentication and hardware security modules. Led migration of legacy wallet services to event-driven microservices, enabli

Scaled high-volume transaction processing system to handle over 500K transactions per second, reducing latency by 25% through Kafka and Spring Boot optimizations. Built a real-time fraud detection system in collaboration with the data science team, reducing fraudulent transactions by 25% using machine learning models. Extended RESTful APIs for payment processing, serving over 10M daily requests wi

Supported the development of a social media data mining system, analyzing over 1 billion posts daily using Python and Elasticsearch, enabling real-time insights for enterprise clients. Assisted in improving sentiment analysis accuracy to 85% by enhancing NLP models and helped reduce spam incidents by 50% by integrating machine learning-based content moderation systems. Extended RESTful APIs for so

Studied computer science, focusing on foundational principles and practical applications. Gained expertise in various programming paradigms and software development methodologies.