Software engineer focused on backend systems, platform reliability, infrastructure, and data-heavy products.
I’ve worked on identity verification, logistics, compliance, developer tooling, and risk intelligence systems. I’m strongest on backend/platform work: APIs, distributed systems, data pipelines, observability, CI/CD, and production reliability.
Senior Software Engineer — Walmart Global Tech
Worked on Spark Driver identity verification and InHome platform systems.
- Built and operated backend services for driver onboarding, reverification, compliance, and delivery workflows
- Integrated systems across identity verification, background checks, payments, insurance, and internal operations tooling
- Improved reliability through observability, load testing, incident reduction, canarying, and production hardening
- Helped migrate video workflows off Azure Media Services to reduce cost and improve control
SDE Intern — Amazon Web Services
Worked in Builder Tools on migration reliability and CI/CD infrastructure.
- Built service-shadowing tooling for safer platform migrations
- Added CloudWatch monitoring and pipeline improvements for build infrastructure
Lead SWE Intern — PairAnything
Built backend systems for a Yelp-powered recommendation product.
- Led backend development and coordinated intern work
- Built scraping/API integrations and recommendation workflows
Software Engineering Intern — ObjectSecurity
Built offline speech-to-text tooling for sensitive meeting summaries.
- Compared transcription engines and model tradeoffs
- Built a lightweight frontend for upload, processing, and result review
ClearCarrier
Carrier risk intelligence and investigation workspace for freight brokers. Built to help screen carriers before assigning loads using authority status, safety signals, insurance context, identity links, and operational history.
- Built DOT/MC lookup, carrier screening workflows, risk reason summaries, and decision history
- Designed identity-graph logic to detect linked carriers through shared phones, addresses, names, VINs, MCs, and other identifiers
- Ingested and normalized FMCSA, SAFER, SMS, inspection, crash, authority, and insurance-related datasets
- Built nightly compute jobs for carrier risk scoring, linked-carrier analysis, graph rollups, and precomputed lookup paths
- Added operational monitoring with Prometheus, Grafana dashboards, structured logs, and alerting for ETL health, ingestion lag, API behavior, and background job failures
- Built backend APIs, Postgres data models, ETL jobs, admin/debug tooling, and a Next.js dashboard
HealthMS
MHacks 15 “Best Medical Hack.” NLP-powered health journaling platform for symptom tracking and MS progression.
- Built symptom journaling, patient-facing workflows, and health-summary generation
- Used NLP to help structure freeform health entries into more useful longitudinal records
- Stack included Flask, MongoDB, Azure, React, and Auth0
GitHub Contexts Plugin
ChatGPT plugin for navigating GitHub repositories and improving code search workflows.
- Built repo-aware context retrieval for code navigation and search
- Focused on making large codebases easier to inspect, summarize, and reason about
Languages: Python, Java, JavaScript, TypeScript, SQL, Go
Backend: Spring, Node.js/Express, FastAPI, GraphQL, Kafka
Data: Postgres, ETL pipelines, batch jobs, graph analysis, dataset normalization
Infra: Docker, Kubernetes, Helm, Terraform, CI/CD
Cloud: AWS, Azure
Observability: Prometheus, Grafana, CloudWatch, structured logging, alerting
Testing: JUnit, Mockito, Jest, Mocha
Frontend: React, Next.js, Tailwind when necessary
University of California, San Diego
B.S. Cognitive Science, specialization in Machine Learning and Neural Computation