Summary
Software engineer with full-stack, machine learning, and distributed systems experience in Java, Python, and C++. Skilled in building data platforms, scalable systems, and integrating tools across cloud environments. Passionate about crafting elegant solutions with real-world impact.
Education
University of Texas at Austin — B.S. in Electrical and Computer Engineering, Business Certificate
Graduated May 2025
Technical Skills
- Languages: Python, Java, C++, SQL, JavaScript
- Frameworks & Tools: Flask, Spring Boot, React, Git, Docker
- Cloud & Data: AWS, Azure, PostgreSQL, MongoDB, Microsoft Fabric, Grafana, KQL
- ML/Analytics: Scikit-learn, Pandas, NumPy, Matplotlib
Experience
Boeing — Software Engineer (Senior Design Project)
Aug 2023 - May 2024
- Trained a regression-based machine learning model with Scikit-learn in Python to predict real-time flight landing times within 5 minute accuracy using live aircraft data, weather conditions.
- Designed and implemented a Python GUI to visualize and interact with ML model findings.
- Used SQL in data processing and integration. Led efficient communication between 8 engineers, Boeing leadership, and UT community.
Phillips 66 — Data Science Intern
Summer 2023
- Developed an end-to-end monitoring solution for Phillips 66's cloud and on-premise data sources.
- Collaborated with engineering teams at Microsoft and Amazon to integrate telemetry and ML tooling in Azure environments.
- Worked through the full lifecycle of data involving ingestion, wrangling, analysis, and visualization. Built full end-to-end pipelines to ingest server logs and metrics using KQL, SQL, and Python.
- Used ML functions to detect anomalies and generate recommendations for infrastructure optimization.
- Presented actionable insights and dashboards to senior leadership; full ownership of data-to-visualization lifecycle.
Dell Technologies — Software Engineering Intern
Summer 2022
- Built a Python application and dashboard to visualize ML-driven metrics from PowerMax server data.
- Led a cross-functional team to deliver clustering-based insights into DRAM/flash usage trends.
- Worked with Grafana, SQL, PostgreSQL, and introduced Microsoft Fabric to the internal toolset.
SAP Concur — Software Engineering Intern
Spring 2019
- Developed an Android mobile app using Java in Android Studio, learning app development from the base up.
- Used Git and Bitbucket for collaboration with my team.
Projects
- COVID 3D Printed Mask Project Launched a grassroots emergency response project during peak PPE shortages in early COVID-19 by leading a multidisciplinary team of engineers, biology students, and business peers to design, prototype, and mass-produce 3D-printed face masks across Seattle. Built a makeshift but highly effective local supply chain by coordinating with hospitals, donors, and community makerspaces, raising over $13,000 through GoFundMe to fund raw materials and logistics. Oversaw end-to-end production and logistics, ultimately assembling and delivering over 7,500 non-lab-certified masks to healthcare workers across Seattle; received emotional feedback from frontline staff and hospital partners.
- JournalAI: AI journaling assistant that turns daily snippets into a full entry. Implements text summarization and optional selfie uploads.
- Flight Landing Predictor: ML model using Scikit-learn to predict landing times from aircraft telemetry data.