I

Ivan Caban

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United States

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Résumé

Jobs verified_user 0% verified
  • CorroHealth
    Software Engineer
    CorroHealth
    Nov 2020 - Current (6 years)
    Developed and maintained scalable AI-powered clinical data extraction pipelines, leveraging transformer-based models (BERT, GPT variants) for automated medical record summarization and information retrieval.Designed and deployed backend microservices using FastAPI and Flask for real-time natural language processing (NLP) inference, supporting interoperability with EHR systems and HL7/FHIR standards.Implemented retrieval-augmented generation (RAG) frameworks combining vector search (FAISS, Elasticsearch) with fine-tuned LLMs to enhance clinical question answering and decision support applications.Built data ingestion and streaming workflows with Apache Kafka and Spark to process large volumes of structured and unstructured healthcare data, e
  • B
    Software Engineer
    Biofourmis
    Jun 2016 - Nov 2020 (4 years 6 months)
    Developed distributed model serving pipelines using TensorFlow Serving, gRPC, and Envoy, deployed across multi-region GCP clusters with autoscaling and request tracing.Built custom JAX/Flax-based training workflows for ad ranking models, optimized for TPU v4 pods, with full integration into internal orchestration systems (Borg + Blaze).Refactored data preprocessing jobs using Apache Beam (Python), reducing pipeline latency by 45% and enabling real-time feature generation from streaming logs.Implemented feature caching layers with Cloud Memorystore (Redis) and Bigtable, coordinated via Kafka message routing and structured Pub/Sub topics.Created Go-based CLI tools for launching model experiments, tracking rollout metrics, and managing evaluat
  • EliseAI
    Software Developer
    EliseAI
    Oct 2014 - May 2016 (1 year 8 months)
    Developed scalable backend microservices using Python (FastAPI, Flask) and Node.js (Express) deployed on Kubernetes clusters, enabling real-time inference for symptom classification and early warning AI models.Built clinician-facing web applications and dashboards with React, TypeScript, and D3.js to visualize patient health data and predictive alerts.Engineered streaming data pipelines with Apache Kafka and Spark Streaming to process sensor, EHR, and patient-generated health data for downstream ML workflows.Designed and fine-tuned transformer-based NLP and time-series models (BERT, custom LSTMs) for personalized digital therapeutics and risk scoring.Automated ML pipelines with Apache Airflow, handling data validation, model retraining, dep
  • Clarius Mobile Health
    Software Developer
    Clarius Mobile Health
    Feb 2011 - Sep 2014 (3 years 8 months)
    Developed backend services and APIs using Python (Flask) and Node.js (Express) to support mobile ultrasound imaging applications and cloud-based data synchronization.Designed and implemented real-time image processing pipelines for mobile ultrasound devices, leveraging OpenCV and early computer vision techniques to enhance image clarity and diagnostic quality.Created scalable microservices deployed on AWS and on-premise servers, focusing on performance, security, and HIPAA-compliant handling of medical imaging data.Participated in cross-functional teams alongside radiologists and product managers to gather clinical requirements and translate them into technical specifications and AI model enhancements.
  • Enlitic
    Junior Software Developer
    Enlitic
    May 2010 - Feb 2011 (10 months)
    Assisted in developing machine learning pipelines for medical image analysis, focusing on preprocessing DICOM datasets and annotating radiology images for training convolutional neural networks (CNNs).Supported backend API development using Python and Flask to enable integration between AI models and clinical systems.Contributed to data cleaning and augmentation workflows, improving dataset quality and model training efficacy.Collaborated with senior engineers and data scientists to prototype early deep learning models for abnormality detection in chest X-rays.Participated in testing and debugging AI service components, ensuring reliable deployment in hospital environments.Documented codebases and contributed to knowledge-sharing efforts to
Education verified_user 0% verified
  • The University of Melbourne
    B.S. in Computer Science
    The University of Melbourne
    Aug 2006 - Apr 2010 (3 years 9 months)