ENEnio Nava
@enionava2
Artificial Intelligence Engineer focused on human-centered AI solutions.
United StatesWhat I'm looking for
I'm an Artificial Intelligence Engineer who builds bridges between advanced machine learning concepts and everyday products. My experience spans from developing HIPAA-safe clinical AI in hospitals to creating GenAI-powered revenue cycle tools. I excel at transforming complex data into intuitive experiences that enhance real-world outcomes.
Throughout my career, I've thrived in hands-on teams, mentoring peers and sharing best practices to maintain model transparency and platform resilience. My work at Iodine Software involved creating GenAI summaries that significantly reduced clinical review times, while my role at Self Financial focused on developing a fraud detection system that utilized cutting-edge technologies like Kafka and PyTorch.
Driven by a passion for human-centered AI, I aim to leverage my skills in machine learning and data engineering to create impactful solutions that improve lives and streamline processes.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer
Iodine Software
Oct 2020 - Present (4 years 9 months)
Built AwareCDI GenAI summaries with GPT-4 and ClinicalLlama, reducing clinical review time and boosting CDI specialist productivity across hospitals. Developed AwarePre-Bill post-discharge auditing with GenAI agents, identifying revenue recovery opportunities through automated proof point discovery in patient records.
AI Engineer
Self Financial
Mar 2017 - Present (8 years 4 months)
Built a containerized scoring service on Kubernetes, orchestrated by Airflow, that returns millisecond credit-risk scores and SHAP explanations for underwriters. Developed a fraud detection system with Kafka pipelines, PyTorch anomaly models, and Redis Streams and Prometheus/Grafana observability.
AI Developer
Aug 2014 - Present (10 years 11 months)
Accelerated distributed training by wiring NCCL all-reduce into FBLearner Flow, slashing deep-learning epoch times on multi-GPU clusters and freeing capacity for faster experimentation. Built a high-throughput RocksDB feature store that lifted cache efficiency, trimmed feed-ranking latency, and reduced infrastructure spend.
Intern
Jul 2013 - Present (12 years)
Assisted with various projects and gained foundational experience in software development and AI. Supported the development team in testing and deploying new features.
Education
Degrees, certifications, and relevant coursework
UAUniversity of Texas at Austin
Bachelor's Degree, Computer Science
Studied Computer Science at the University of Texas at Austin, gaining foundational knowledge and skills in the field. Completed a comprehensive curriculum that prepared for a career in technology.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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