timeline

a chronological journey through my career experiences.

November 2024 -Present
Technical Staff

Technical Staff

TaxRise
  • Built a full-stack internal application that delivers LLM-generated coaching for sales calls, supporting both text-to-text and voice-to-voice modalities, automating what was previously manual manager call reviews
  • Developed a backend system that processes over 5,000 daily calls, generating transcripts, summaries, and insights, with full integration with Salesforce
  • Created a client-facing, full-stack application for document upload and classification using a custom ML model, also supporting views for internal document requests and matching
  • Led ML efforts to support Legal by building a compliance and sentiment analysis model for all company calls, with real-time dashboards for analysis and auditability, allowing departments to catch potential issues before external escalation
  • Designed workflows to automate both inbound and outbound calls via autonomous agents, with support for tool invocation and database integrations
October 2024 -Present
Course Facilitator

Course Facilitator

Stanford Online
  • Teaching XCS229: Machine Learning and XCS221: Principles of AI at Stanford University Center for Global & Online Education (CGOE)
August 2024 -November 2024
Lead AI Engineer

Lead AI Engineer

Ventris Medical
  • Engineered a mobile application to streamline data entry, utilizing object detection algorithms, compression techniques, and OCR partners, to reduce manual data processing time by over 10 hours per week per employee
  • Supported R&D by automating weekly analysis of published journal articles in the bone graft industry
  • Ensured HIPAA-compliant use of AI by developing an internal web app to interact with frontier models
March 2024 -Present
Student

Student

Stanford University
  • Pursuing Graduate Certificate in AI
  • Enrolled in CS224N: Natural Language Processing
  • Completed CS329H: Machine Learning with Human Preferences with an A
  • Completed CS229: Machine Learning with an A+
  • Completed CS221: Principles and Techniques in Artificial Intelligence with an A
January 2023 -August 2024
Data Scientist

Data Scientist

Beckman Coulter Diagnostics
  • Automated IT ticket creation, categorization, and assignment with a fine-tuned BERT neural network API and integrated with company-wide internal LLM chatbot, vastly reducing 'traditional' ticket creation
  • Led the AI Operations team as Scrum Master
  • Streamlined the embedding, vectorization, and storage of internal knowledge articles to be used in RAG pipelines for internal chatbot
  • Collaborated with Manufacturing to create compliance and quality control computer vision models
June 2022 -January 2023
Data Science Intern

Data Science Intern

Beckman Coulter Diagnostics
  • Developed and implemented a predictive ML model in collaboration with HR to enhance employee retention strategies
  • Automated monthly cloud cost ML forecasts and integrated results with PowerBI reports for L1s
  • Reduced technical debt by integrating multiple data sources into a dashboard for IT leadership
August 2021 -December 2021
Tutor

Tutor

Concordia University Irvine
  • Tutored Calculus 2 and Programming Languages
August 2019 -December 2022
Student

Student

Concordia University
  • Graduated with a Bachelor of Arts in Mathematics, with minors in Computer Science, Business Data Analytics, and Music
  • Achieved a 3.94 GPA