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Brianna Mitchell

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Machine Learning Engineer | Personalization & Recommendation Systems | NLP, CV, Large-Scale ML | MIT Hackathon Winner
Boston, Massachusetts, United States

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Résumé


Jobs verified_user 0% verified
  • avaya
    Machine Learning Engineer
    avaya
    Sep 2022 - Sep 2025 (3 years 1 month)
    - Programming: Python, SQL, GoLang, RestAPI - MLOps: deployed end-to-end pipeline for RAG, multi-agent system - Exhibited leadership principles by encouraging collaboration amongst my team. Cultivated a safe + innovative environment - Frameworks/libraries: TensorFlow, Bedrock - Cloud Infra & DevOps: AWS, Lambda, Step Functions, Lambda, IAM policies, VPC -DB: SQL + NoSQL - Leveraged CDN to prevent content buffering + ensure lower latency when clients send requests to multiple servers - Distributed Systems: Distributed network traffic across multiple servers through load balancing (LB). LB techniques–least connections, IP hashing - Agent to agent (A2A) Protocol: A2A traffic in multi-agent system - Managed vector DBS with OpenSearch - Minimize
  • A
    Machine Learning Engineer
    Aviiya Solutions
    Sep 2022 - Jul 2025 (2 years 11 months)
    -Designed, tested, and built a secure end to end machine learning pipeline hosted in the cloud. -Utilized AWS and GCP cloud IAM conditions to control data access permissions -Tested multiple versions of ML prototypes on various libraries including both Tensorflow v2 and PyTorch - Utilized Keras API in tensorflow for model building, training, and validation. -Collaborated with data scientists and engineers to ensure a clean input of data for model training. - Experience building and deploying supervised and unsupervised ML models - Support Vector Machines (SVM), KNN, Classifiers, Convolutional Neural Networks (CNN)- Unet and VGG19, RNN, Recommendation, Large Language Models (LLM), and Network Modeling. -Utilized ML techniques to improve mode
  • Northwestern Medicine
    Machine Learning Researcher
    Northwestern Medicine
    Apr 2022 - Aug 2022 (5 months)
    - Performed data acquisition and analysis using AWS Cloud Infrastructure - Deployed end to end ML pipeline, precisionXaii. - Generative AI reporting model used and tested by Northwestern Medicine’s board-certified breast radiologists in 5 month clinical setting. - Improved patient outcomes and Radiologist productivity by 30%.
  • N
    Machine Learning Researcher
    Northwestern
    Apr 2022 - Aug 2022 (5 months)
    - Programming: Python, Java, SQL, React, Go - Cloud Infra: managed in AWS and Snowflake infrastructure. DevOps-–CI/CD - VLM model; streamlined documentation for PDFs + Improved customer outcomes by 30% - Advocated for my team presenting pitch decks, research, & data insights to raise funding from stakeholders/investors - Broke down low level design concepts to investors, leveraging my communication skills - Adapted to constant change within a project budget. Optimized my design approach + produced results that were more cost-effective - Improved scalability + security with API gateway: Authentication, audit logging, rate limiting, request routing, integration testing + inventory updates - DB: SQL + NoSQL - Model Context Protocol (MCP): man
  • Harvard TH Chan School of Public Health
    Computer Vision / Machine Learning Researcher
    Harvard TH Chan School of Public Health
    Oct 2019 - Mar 2022 (2 years 6 months)
    - Programming: Python, TypeScript, Node.js, RestAPI - Deployed end-to-end ML pipeline: multi-class CNN used to improve precision in diagnostic workflows hosted in AWS; Biomedical Image analysis - Leveraged data to pivot from original solution and inspired genuine trust with my customers - Produced quality results in a fast-paced environment - Inspired innovation for a new computer vision technique: quantifying echogenicity within 2D images. In publishing with National Science Foundation (NSF) - Computer Vision: OpenCV, CVAT - Cloud/Distributed Systems: Beanstalk, VPC, EMR, Kubernetes, Terraform, SageMaker, DynamoDB - DB: SQL + NoSQL - Models: Yolo-V8, Unet, VGG19 - Improved scalability + security with API gateway: Authentication, audit logg
  • INOVA Fairfax Hospital
    Registered Ultrasound Technologist
    INOVA Fairfax Hospital
    Aug 2019 - Jun 2021 (1 year 11 months)
    -Worked in Inova’s Trauma One (Highest level of trauma care and experts available for every aspect of injury from prevention through rehabilitation), Outpatient Clinic, Inpatient, and Emergency Room -Performed and presented Vascular, Muskuloskeletal, Abdominal, OB/Gyn, and Breast exams to radiologists - Mentored to ultrasound interns in all specialties - Communicated with GE field engineers regarding internal and external issues with ultrasound machines - Improved overall efficiency of the department through updating procedural protocols alongside the supervisor, then aligning those protocol guidelines with physician needs and ACR Accreditation -Compiled list of supplies needed for the department biweekly for supervisor -Documented pressure
Education verified_user 0% verified
  • Villa Maria Academy
    High School Diploma
    Villa Maria Academy
    College Preparatory School High School Diploma
  • Penn State University
    Bachelor of Applied Science - BASc, Biomedical/Medical Engineering
    Penn State University