Eric Soderquist Email & Phone Number

Champaign, IL, US

Champaign, Illinois, United States

• Launched a free AI-powered voice translation platform supporting over 50 languages, facilitating real-time cross-linguistic communication for more than 1,000 users, with a focus on empowering immigrants, travelers, and.
• Designed and deployed custom multimodal language models, utilizing Reinforcement Learning from Human Feedback (RLHF) and divergence training to deliver adaptive, context-aware translations.
• Engineered and maintained a cloud-native infrastructure leveraging Azure, TypeScript, React.js, Next.js, and PostgreSQL, ensuring high scalability, reliability, and availability. Secured cloud funding through a.

Champaign, Illinois, United States

• Designed an AWS Permissions Automation system, reducing an 8-hour manual task to a 1-second process, enhancing productivity and security compliance.
• Built a scalable distributed web-crawling system with Docker and Kubernetes, reducing data acquisition time from months to 2.5 hours and ensuring continuous updates, optimizing dealer network strategies for U.S. and UK.
• Developed an NLP microservice on Amazon EC2 Linux to parse complex addresses, resolving a critical blocker, saving costs by avoiding third-party solutions, and improving data pipeline reliability.
• Automated warranty ID comparisons with a GUI-based tool, reducing a two-week manual process to 90 seconds and eliminating errors.
• Deployed and optimized ETL pipelines across AWS, ensuring scalable data transformation and visualization through S3 and VistaMap, with high availability and fault tolerance.

San Francisco Bay Area

• Optimized Gemini Ultra's performance, boosting MMLU benchmark accuracy from 78% to 90.04% and HumanEval benchmark accuracy from 37.6% to 74.4%, significantly enhancing its multilingual capabilities and proficiency in.
• Applied divergence-based RLHF to improve model alignment for coding and language applications, ensuring highly adaptive and contextually relevant responses in real-world scenarios.

San Francisco Bay Area

• Designed and optimized large-scale data preprocessing pipelines, increasing data processing efficiency by 35% during the transition from GPT-3 to GPT-4, enabling smoother deployment and scaling.
• Enhanced data validation and sanitization protocols, reducing hallucinations by 82% and improving model reliability and factual accuracy by 40%, ensuring higher-quality outputs in production.
• Strengthened model safety and alignment, achieving an 82% reduction in disallowed content generation with GPT-4 compared to GPT-3.5, enhancing compliance and user trust.

Champaign, Illinois, United States

• Developed deep learning architectures for multi-modal neuroimaging fusion (MRI/EEG/fNIRS), enhancing neural decoding accuracy by 45% and improving responsiveness in real-time brain-computer interface (BCI) control.

Deer Park, Illinois, United States

Assisted Living & Memory Care