Resume

1. Software Engineer

   Aurelian ↗

   Apr 2026 – Present
   • –Full-stack engineer on an AI call-handling platform for 911 dispatch centers, shipping across the real-time voice agent, backend services, dispatcher-facing web app, internal tooling, and cloud infrastructure.
   • –Lead much of the platform's integration with agencies' computer-aided dispatch (CAD) systems across tens of agencies and many vendors, from architecture and on-prem deployments to customer migrations and working directly with agency staff.
   • –Developed core turn-taking behavior for the voice agent, teaching it to recognize when a caller hasn't finished speaking and wait rather than interrupt, with instrumentation to measure the impact on production calls.
   • –Keep production systems reliable as part of the on-call rotation, building the failure handling, monitoring, and alerting that let engineering and support catch and resolve issues quickly.

2. Software Engineering Intern (Sole Engineer)

   Luminexis AI / Threat Tec

   Aug 2025 – Dec 2025
   • –Built full-stack React/FastAPI application with JWT authentication, role-based access control, admin dashboards, and ROI tracking tools for identifying AI automation opportunities.
   • –Engineered LLM-powered document analysis pipeline using Azure OpenAI and Document Intelligence to extract requirements, risk factors, and action items from 140+ contract PDFs — reducing manual review time from hours to minutes per document.
   • –Deployed production RAG chatbot with Qdrant vector database and LlamaIndex achieving 70–80% on RAGAS evaluation metrics for domain-specific Q&A across configurable knowledge bases.
   • –Provisioned 4-environment Azure infrastructure (Dev, Staging, Demo, Production) using Terraform with shared modules, managing Container Apps, PostgreSQL, Key Vault, AI Foundry, and private networking; implemented CI/CD with GitHub Actions.

3. Machine Learning & Software Engineer

   Teamculture.ai / L10.tech

   Jan 2024 – Sept 2024
   • –Developed serverless RAG evaluation system using AWS Lambda, API Gateway, and DeepEval to automate performance monitoring — reducing evaluation runtime from manual testing to an automated pipeline.
   • –Built Vue/FastAPI interface for creating evaluations and curating golden example datasets, enabling systematic quality measurement and iterative improvement of AI services at scale.

4. Machine Learning & Software Engineer Intern

   The World Bank & GEF

   May 2023 – Sept 2023
   • –Built RAG-based system automating analysis of 24,000+ GEF project documents for large-scale socioeconomic impact evaluation — enabling data-driven funding allocation and strategic planning decisions for the first time.

5. Machine Learning Technical Lead

   GeoLab @ William & Mary

   Jan 2023 – May 2025
   • –Led cross-functional ML integration across frontend, backend, and ML subteams for the SCOPE research platform, establishing technical requirements and coordinating implementation of RAG capabilities.
   • –Architected microservice-based RAG system on Kubernetes using Qdrant, vLLM, LlamaIndex, and FastAPI; built custom document processing pipeline with Vision-Language Models (Qwen-2.5-VL) for extracting text and structure from complex PDF/DOCX documents — reducing parsing errors by over 50%.

Coursework: CNN Image Classification & Regression · Generative Modeling with Diffusion Models · GNN Molecular Property Prediction · ML Network Traffic Classifier · Time Series Forecasting · Transformer Sentiment Analysis. Details →

Languages

Python · TypeScript · JavaScript · Java · C++ · Rust

Web & data

FastAPI · Django · SQLAlchemy · PostgreSQL · TimescaleDB · MongoDB · React · Vue

ML & LLMs

PyTorch · PyTorch Geometric · Scikit-Learn · Pandas · Hugging Face Transformers · Qdrant · LlamaIndex · vLLM · DeepEval · Langfuse · Azure OpenAI

Infrastructure

Azure · AWS · Kubernetes · Docker · Terraform · Packer · ArgoCD · GitHub Actions · Traefik · Nginx · Linux

Observability

Azure Monitor / KQL · OpenTelemetry · Prometheus · Grafana · MLflow