Relevant Experience

  • Work Experience

  • Software Engineer II

    Cisco (Aug 2024 - Present) | San Jose, CA
    ML pipelines / RAGs @ supply chain

    Owned and led the link analysis automation project end-to-end, cutting a manual two-day data processing pipeline down to a few hours, with results surfaced across heatmaps, pinmaps, a RAG chatbot, and more, all built from scratch and deployed as an internal dashboard at link-analysis.cisco.com.


    Built and deployed debug-genie.cisco.com, a Snowflake + Streamlit platform that became the single source of truth for AI repair accuracy across global manufacturing partners (Flex, Foxconn, Fabrinet), tracking defect location prediction, component match, and technician feedback across tens of thousands of production units. Replaced weeks of ad-hoc SQL exports and cross-partner reconciliation meetings. Drove measurable manufacturing outcomes: fewer scrapped boards, fewer repair iterations, and reduced dependency on high-skill debug technicians, saving millions annually.


    Built optimal RAG systems with attribute filtering from scratch for device log diagnosis.


    Developed a multivariate anomaly detection process analyzing thermal telemetry across tens of thousands of production network devices to diagnose future corrosion beforehand purely from data.

  • Software Engineer

    Logarithm Solutions (Aug 2023 - Sept 2024) | Remote
    nlp analysis for small businesses

    Designed and built cloud-native log analytics and monitoring platform using Python, AWS (Lambda, S3, DynamoDB), and distributed data pipelines for real-time anomaly detection across enterprise systems.


    Architected end-to-end data ingestion pipelines processing structured and unstructured logs, integrating LLM-powered insights for root-cause analysis and automated triage workflows.


    Led backend development for scalable API layer (FastAPI/GraphQL) supporting analytics dashboards and AI-driven alerting across multiple customer deployments.


    Implemented infrastructure-as-code using Terraform and CI/CD pipelines to enable reproducible cloud deployments and reduce environment setup time by 70%.

  • Data Science Intern

    FICO (April 2024 - Aug 2024) | San Diego, CA
    fraud detection @ ai analytics team

    Benchmarked six anomaly detection models (including CADE, Isolation Forest, and autoencoders) on fraud transaction data from major banks across the US, UK, Canada, India, and Brazil.


    Engineered rolling temporal features that improved AUC and precision during distribution shift periods. Presented findings directly to the Chief Analytics Officer.

  • Software Engineer Intern

    Southwest Airlines (2023) | Dallas, TX
    infra tooling @ network automation team

    Built full-stack tooling with React and Node.js to automate GTM workflows in Ansible Tower


    Contributed to an intern-led discounting system projected to save $24M per year by replacing third-party vendor fees for gift cards with an in-house solution & presented directly to the CIO.

  • Software Engineer Intern

    CarsXE (2022-2023) | Highland, MD
    license plate CV & full-stack

    Led development of a license plate recognition pipeline using YOLOv4, TensorFlow, and OCR. Built and published a pip package for the company's API alongside full-stack work in Vue, Nuxt, and Next.js.


  • Education

  • Master of Science

    UC San Diego

    Machine Learning and Data Science M.S.

    Show Relevant Coursework
    • CSE272 - Advanced Image Synthesis
    • ECE225A - Prob & Stats for Data Science
    • ECE253 - Fundamentals of Digital Image Processing
    • ECE285B - Deep Generative Models
    • MATH285 - Stochastic Processes
    • ECE269 - Linear Algebra and Application
    • ECE276A - Sensing & Estimation Robotics
    • CSE258R - Recommender Systems & Web Mining
    • DSC209R - Data Visualization
    • ECE228 - ML for Physical Applications
    • ECE285A - Intro to Visual Learning
    • CSE253R - Machine Learning and Audio
    • DSC255R - Machine Learning and Data Science
    • DSC258R - Natural Language Processing

  • Bachelor of Science

    UC San Diego

    Electrical Engineering B.S.

    Show Relevant Coursework
    • ECE175A - Pattern Recognition and Machine Learning
    • ECE176 - Intro Deep Learning & Apps
    • ECE172A - Introduction to Intelligent Systems
    • ECE174 - Linear & Nonlinear Optimization
    • ECE143 - Programming for Data Analysis
    • ECE109 - Engineering Probability & Statistics
    • ECE101 - Linear Systems
    • ECE171A,B - Linear Control System Theory I & II
    • ECE148 - Intro to Autonomous Vehicles
    • ECE16 - Rapid Hardware & Software Design
    • ECE17 - Object-Oriented Programming
    • ECE25 - Digital Design
    • ECE30 - Computer Organization
    • ECE35 - Analog Circuit Design
    • ECE45 - Circuits and Systems
    • ECE65 - Components & Circuits Lab
    • ECE100 - Linear Electronic Systems
    • ECE140A,B - Full-Stack Product Engineering I & II
    • MGT103 - Product Marketing & Management
    • MGT172 - Business Project Management
    • MGT127R - Innovation and Technology Strategy
    • CSE190 - Audio and AI
    • CSE194 - Race, Gender & Computing

  • Research Experience