Software Engineer

Redesigned high-traffic database queries and indexing strategies to accelerate lead and opportunity lookups, cutting query latency by 50% and improving platform responsiveness for 1,000+ agents. Right-sized RDS instances, enabled EKS pod autoscaling, and implemented S3 storage lifecycle policies to align compute and storage with actual usage, lowering AWS spend by roughly 30% while preserving 99.9% uptime. Converted synchronous API endpoints into decoupled, event-driven workflows using SQS and Lambda to eliminate request blocking, reducing API response times and boosting throughput under peak load. Engineered and operated fully automated ETL pipelines using AWS Transfer Family, Glue, and Step Functions to validate, normalize, and ingest carrier data files, reliably processing tens of thousands of records daily.

Modernized legacy Backbone UI components by rebuilding them in React, improving code readability, reducing maintenance overhead, and cutting page load times by roughly 25%. Developed and tuned Scala and Python backend endpoints to streamline lead-management workflows, reducing API latency and improving responsiveness for internal users. Strengthened frontend security by tightening CDN configurations and enforcing a strict Content Security Policy, resolving 100% of high-severity findings identified by Aikido security scans.

Developed and maintained an iOS app serving 500+ daily active users to deliver live and on-demand audio content, which improved accessibility for visually impaired listeners through comprehensive UI accessibility labels, custom gesture controls, and adjustable playback speeds. Integrated Audio Journal’s REST API with real-time streaming and on-device voice recognition to simplify content discovery and playback, which reduced perceived audio start times and made hands-free navigation smoother for listeners.

Implemented and maintained Go-based background workers to process incoming IoT sensor readings, applying goroutines and channels to improve basic throughput and reduce processing delays. Assisted in migrating parts of the ingestion pipeline from Python to Go, helping improve performance during periods of high sensor traffic. Helped improve RabbitMQ consumers and simplified database interactions to reduce small bottlenecks observed during large sensor uploads. Created Dockerfiles and containerized existing services to support more consistent local development and deployments. Worked with senior engineers on schema changes and data-validation rules, fixing ingestion edge cases and improving accuracy of safety alerts.

Built internal REST APIs using Python and Go to unify warehouse, inventory, and logistics data, enabling teams to replace manual spreadsheets and reduce daily reporting time. Developed ETL utilities in Go and Python to automate CSV ingestion and S3 uploads, which eliminated repetitive manual data-entry tasks and improved data accuracy across departments. Containerized backend workloads with Docker to standardize development environments and simplify deployments across staging and production systems.

GPA: 3.9. Relevant coursework: Machine Learning, Deep Learning, Data Science, Distributed Systems, Computer Vision, AI

GPA: 3.4, High Distinction. Relevant coursework: Data Structures and Algorithms, Operating Systems, Databases, Computer Networks, Cryptography, Software Engineering, Mobile Computing. Honors: Dean’s List (AB 2020, CD 2020, Class of 2021).