J

Jake Anderson

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California, United States

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Résumé

Jobs verified_user 0% verified
  • Booz Allen Hamilton
    Lead AI/ML Engineer, Data Scientist
    Booz Allen Hamilton
    Mar 2023 - Current (3 years 5 months)
    Designed and implemented scalable data pipelines for efficient data collection, processing, and metrics tracking for production systems. Developed, optimized, and maintained ETL pipelines leveraging cloud and big data technologies, ensuring high-performance processing and data integrity. Collaborated with cross-functional teams to develop data models, perform data cleansing, and ensure data quality for mission-critical applications. Led machine learning initiatives, including risk modeling and data visualization; troubleshot pipeline issues to maintain system robustness. Environments & Tools: Python, AWS (S3, Lambda, SageMaker, Athena, EMR, Kendra, CloudFormation), PySpark, Hadoop, Kafka, Airflow, HIVE, Docker, Kubernetes, GitLab, Jenkins,
  • Caci
    Senior Data Scientist & AI/ML Engineer
    Caci
    Aug 2020 - Feb 2023 (2 years 7 months)
    Led development and fine-tuning of Large Language Models (LLMs) targeted at healthcare applications, including medical report classification. Spearheaded Generative AI projects utilizing Chain-of-Thought prompting to extract insights from medical records. Co-Principal Investigator on grants focused on improving LLM performance in healthcare. Mentored GSoC students developing chatbots using Retrieval-Augmented Generation (RAG) with GPT-. Integrated NLP, Computer Vision, and Generative AI to streamline radiologists' workflows, achieving high accuracy (under 1.5%) in patient treatment prediction models. Developed internal Python packages for LLM classification models, promoting research and internal tool development. Environments & Tools: Pyth
  • S
    Machine Learning Engineer/Applied Scientist II
    SparkCognition (Avathon)
    Mar 2018 - Jul 2020 (2 years 5 months)
    Architected enterprise-grade predictive maintenance solutions with large-scale ML models, saving millions in operational costs. Led development of retraining and AutoML pipelines managing ~500 models across critical assets, including oil & gas infrastructure. Collaborated with BP on predictive maintenance deployment, expanding to renewable energy and defense sectors. Enhanced the SparkPredict platform's scalability and deployed it on Azure Marketplace, broadening enterprise access. Environments & Tools: Python, Scikit-learn, PyTorch, TensorFlow, SparkPredict. AutoML pipelines, Docker, Kubernetes, Azure Marketplace, Git
  • N
    Applied Scientist
    NthDS
    Apr 2016 - Feb 2018 (1 year 11 months)
    Developed image reconstruction algorithms to digitize legacy well logs, transforming inaccessible analog data into structured datasets. Built automated document classification systems and analyzed SEM images for geological features using computer vision techniques. Managed end-to-end data pipelines with Python, Linux, Airflow, and Git, working closely with energy industry stakeholders. Environments & Tools: Python, OpenCV, CNNs, SpaCy, NLTK, Airflow, Linux, Git
Education verified_user 0% verified
  • Carnegie Mellon University
    Bachelor of Science in Engineering and Economics
    Carnegie Mellon University
    Jan 2012 - Jan 2016 (4 years 1 month)