Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Senior Software Engineer with 15+ years of experience delivering AI and machine learning solutions across healthcare andenterprise domains. Skilled in building transformer-based NLP models, backend microservices (FastAPI, Flask, Node.js), andscalable data pipelines (Kafka, Spark, Airflow). Proficient in front-end development with React and TypeScript, supportinghuman-in-the-loop workflows. Experienced in MLOps, Kubernetes, Docker, CI/CD automation, and HIPAA-compliant AI deployments. Strong collaborator focused on creating reliable, scalable, and compliant AI systems.…Senior Software Engineer with 15+ years of experience delivering AI and machine learning solutions across healthcare andenterprise domains. Skilled in building transformer-based NLP models, backend microservices (FastAPI, Flask, Node.js), andscalable data pipelines (Kafka, Spark, Airflow). Proficient in front-end development with React and TypeScript, supportinghuman-in-the-loop workflows. Experienced in MLOps, Kubernetes, Docker, CI/CD automation, and HIPAA-compliant AI deployments. Strong collaborator focused on creating reliable, scalable, and compliant AI systems.

Ivan Caban





Senior Software Engineer with 15+ years of experience delivering AI and machine learning solutions across healthcare andenterprise domains. Skilled in building transformer-based NLP models, backend microservices (FastAPI, Flask, Node.js), andscalable data pipelines (Kafka, Spark, Airflow). Proficient in front-end development with React and TypeScript, supportinghuman-in-the-loop workflows. Experienced in MLOps, Kubernetes, Docker, CI/CD automation, and HIPAA-compliant AI deployments. Strong collaborator focused on creating reliable, scalable, and compliant AI systems.…Senior Software Engineer with 15+ years of experience delivering AI and machine learning solutions across healthcare andenterprise domains. Skilled in building transformer-based NLP models, backend microservices (FastAPI, Flask, Node.js), andscalable data pipelines (Kafka, Spark, Airflow). Proficient in front-end development with React and TypeScript, supportinghuman-in-the-loop workflows. Experienced in MLOps, Kubernetes, Docker, CI/CD automation, and HIPAA-compliant AI deployments. Strong collaborator focused on creating reliable, scalable, and compliant AI systems.

Available to hire

Senior Software Engineer with 15+ years of experience delivering AI and machine learning solutions across healthcare andenterprise domains. Skilled in building transformer-based NLP models, backend microservices (FastAPI, Flask, Node.js), andscalable data pipelines (Kafka, Spark, Airflow). Proficient in front-end development with React and TypeScript, supportinghuman-in-the-loop workflows. Experienced in MLOps, Kubernetes, Docker, CI/CD automation, and HIPAA-compliant AI
deployments. Strong collaborator focused on creating reliable, scalable, and compliant AI systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Software Engineer at CorroHealth

November 1, 2020 - Present

Developed and maintained scalable AI-powered clinical data extraction pipelines using transformer-based models (BERT, GPT variants) for medical record summarization and information retrieval. Designed backend microservices (FastAPI, Flask) for real-time NLP inference supporting EHR systems and HL7/FHIR interoperability. Implemented RAG frameworks combining vector search with fine-tuned LLMs for clinical question answering and decision support. Built data ingestion and streaming workflows with Kafka and Spark ensuring HIPAA compliance. Automated MLOps pipelines with Kubernetes, Docker, and GitLab CI/CD including drift detection and scheduled retraining via Apache Airflow. Collaborated on LLM fine-tuning strategies including RLHF. Developed React and TypeScript annotation tools for human-in-the-loop workflows, enhancing dataset quality. Established production monitoring with Prometheus and Grafana for AI system health and SLA adherence. Participated in architecture design aligning with e

Software Engineer at Biofourmis

November 1, 2020 - August 20, 2025

Developed distributed model serving pipelines using TensorFlow Serving, gRPC, and Envoy deployed on multi-region GCP clusters with autoscaling and request tracing. Built custom JAX/Flax training workflows optimized for TPU v4 pods integrated into internal orchestration (Borg + Blaze). Refactored data preprocessing using Apache Beam reducing pipeline latency by 45%, enabling real-time feature generation. Implemented feature caching with Cloud Memorystore (Redis) and Bigtable coordinated via Kafka and Pub/Sub. Created Go CLI tools for model experiment launch, rollout metrics tracking, and dataset management. Developed React and TypeScript real-time model monitoring dashboards visualizing drift, latency, and error distribution.

Software Developer at EliseAI

May 1, 2016 - August 20, 2025

Developed scalable backend microservices using Python (FastAPI, Flask) and Node.js (Express) deployed on Kubernetes enabling real-time inference for symptom classification and early warning AI models. Built clinician-facing web apps and dashboards with React, TypeScript, and D3.js to visualize patient health data and predictive alerts. Engineered streaming data pipelines with Kafka and Spark Streaming for sensor, EHR, and patient-generated data. Designed and fine-tuned transformer-based NLP and time-series models (BERT, LSTMs) for personalized digital therapeutics and risk scoring. Automated ML pipelines with Airflow, including data validation, retraining, deployment, and monitoring with Prometheus and Grafana. Established HIPAA-compliant CI/CD workflows using Jenkins, Docker, Helm, and GitLab CI/CD.

Software Developer at Clarius Mobile Health

September 1, 2014 - August 20, 2025

Developed backend services and APIs with Python (Flask) and Node.js (Express) supporting mobile ultrasound apps and cloud data synchronization. Designed real-time image processing pipelines using OpenCV for mobile ultrasound devices to enhance image clarity and diagnostics. Created scalable microservices deployed on AWS and on-premise servers with a focus on performance, security, and HIPAA-compliant medical imaging data handling. Collaborated with radiologists and product managers to translate clinical requirements into technical specifications and AI model enhancements.

Junior Software Developer at Enlitic

February 1, 2011 - August 20, 2025

Assisted in machine learning pipeline development for medical image analysis, including DICOM dataset preprocessing and radiology image annotation for CNN training. Supported backend API development with Python and Flask integrating AI models with clinical systems. Contributed to data cleaning and augmentation for improving dataset quality and model training. Collaborated with senior engineers and data scientists on early deep learning models for chest X-ray abnormality detection. Participated in AI service component testing and debugging for reliable hospital deployment. Documented codebases and helped onboard new team members.