Open to opportunities

Christopher Kanten

@christopherkanten

Message

I am a senior software engineer specializing in AI, NLP, and cloud-native systems.

United States

Message

What I'm looking for

I seek senior engineering roles where I can build production-grade AI/ML systems, lead cross-functional teams, and deliver secure, scalable cloud-native solutions—especially in healthcare, fintech, or research-driven environments that value engineering rigor and impact.

I am a senior software engineer and AI specialist with a strong foundation in biomedical engineering and chemistry. I design and deploy production-grade AI solutions that address complex scientific and technical challenges.

I have deep expertise in Python, C++, Java, Go, R, Rust, and C#, and in frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, and Hugging Face. I built large-scale NLP systems that automated content analysis and summarization across millions of documents, improving processing efficiency by 40%.

I build RAG pipelines, scalable cloud-native microservices, and big data analytics platforms using tools like Apache Spark, Kafka, BigQuery, Docker, Kubernetes, and Terraform. I led the development of a Hospital Information Management System with healthcare data protection controls and deployed Azure OpenAI Studio for compliant clinical workflows.

I founded and led an AI-focused engineering firm and have resolved critical backend issues in high-traffic applications while practicing TDD, CI/CD, and observability with Prometheus and Grafana. I thrive leading cross-functional teams to turn research and domain expertise into reliable, production-ready AI systems.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

HoldingHands

Oct 2024 - Present (10 months)

Led development of a Hospital Information Management System (HIMS) with HIPAA-equivalent controls and deployed Azure OpenAI-based RAG pipelines to auto-generate radiology reports, improving clinical reporting quality. Implemented ML detection for anomalous access and delivered cloud-native services with Docker/Kubernetes and CI/CD.

Python Django fastAPI Docker Kubernetes Prometheus Grafana

Current

Sr. Principal Engineer

Current

Genesis Mentis

Aug 2020 - Present (5 years)

Founded and led an AI engineering firm, building a large-scale NLP solution that improved data processing efficiency by 40% and resolving 30+ critical backend issues to enhance system stability. Architected cloud-native APIs and automated CI/CD deployments for production AI services across fintech and government clients.

Python SpaCy Hugging Face Django fastAPI PostgreSQL AWS Docker Terraform CI CD

AI Research Engineer

Utah One-U RAI

Jan 2019 - Aug 2020 (1 year 7 months)

Designed analytical workflows and ETL pipelines to process large-scale biological datasets, enabling faster diagnostic and experimental insights. Leveraged Apache Spark, Kafka, and BigQuery for high-volume data processing and applied statistical and ML techniques for feature extraction and predictive analytics.