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@ -11,37 +11,25 @@
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%---------------------------------------------------------
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\cventry
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{AI Software Engineer (Contract)} % Job title
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{T. Rowe Price} % Organization
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{Baltimore, Maryland} % Location
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{May 2026 - Present} % Date(s)
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{
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\begin{cvitems}
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\item {Took ownership of in-flight GenAI work from a departing external AI consultancy, transferring codebases and continuing delivery without interruption}
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\item {Built GenAI scaffolding on Snowflake Cortex and AWS Bedrock: Streamlit interfaces, DBT pipelines, and AgentCore/MCP prototypes}
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\item {Provisioned access across enterprise platforms and cleared CI/CD gates (code quality, SAST, automated testing) to move AI workloads into production}
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\end{cvitems}
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}
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\cventry
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{Staff Software Engineer} % Job title
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{Forterra} % Organization
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{Clarksburg, Maryland} % Location
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{Dec. 2021 - May 2026} % Date(s)
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{Dec. 2021 - Present} % Date(s)
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{
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\begin{cvitems} % Description(s) of tasks/responsibilities
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\item {Led design and development of cloud-native data infrastructure powering autonomous vehicle telemetry and operational analytics}
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\item {Architected and implemented Python microservices on AWS Lambda and ECS, ingesting up to 500,000 files/day into a 1 PB S3 data lake; automated Glacier/Deep Archive tiering cutting storage costs \$10--15K/month}
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\item {Wrote Apache Airflow DAGs on AWS GovCloud to decode proprietary robotics formats into analytics-ready datasets}
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\item {Lead design and development of cloud-native data infrastructure powering autonomous vehicle telemetry and operational analytics}
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\item {Architect and implement Python microservices on AWS Lambda and ECS, processing large-scale S3 event-triggered data streams}
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\item {Deploy and manage Apache Airflow on AWS GovCloud, orchestrating pipelines that decode proprietary robotics formats into analytics-ready datasets}
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% \item {Design and optimize PostgreSQL RDS databases, including complex schema, queries, materialized views, and reporting pipelines for engineering, compliance, and executive teams}
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\item {Designed and optimized PostgreSQL databases, materialized views, and reporting pipelines for safety, platform, integration, and devops teams}
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\item {Design and optimize PostgreSQL databases, queries, materialized views, and reporting pipelines for engineering, compliance, and executives}
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% \item {Own Terraform infrastructure-as-code deployments covering cloud networking (transit gateways, VPNs), IAM policies, serverless, container workloads, and CI/CD pipelines}
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\item {Owned Terraform infrastructure-as-code deployments, including cloud networking, IAM, serverless, container workloads, and CI/CD pipelines}
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\item {Own Terraform infrastructure-as-code deployments, including cloud networking, IAM, serverless, container workloads, and CI/CD pipelines}
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% \item {Build and maintain end-to-end data pipelines supporting safety, regulatory, and business reporting across multiple internal systems}
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% \item {Integrate corporate APIs (Microsoft Graph, SharePoint, Slack) for authentication, automated reporting, and operational notifications}
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\item {Integrate corporate APIs (Microsoft Graph, SharePoint, Slack) for authentication, automated reporting, and operational notifications}
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\item {Provide technical leadership in project planning, architecture, estimation, and mentor junior engineers}
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% \item {Collaborate cross-functionally to uncover operational data challenges, refine requirements, and shape backend systems that directly support engineering and business goals}
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\item {Collaborate cross-functionally to address data challenges, refine requirements, and shape backend systems supporting business goals}
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\end{cvitems}
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}
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@ -53,11 +41,12 @@
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{Dec. 2019 - Nov. 2021} % Date(s)
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{
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\begin{cvitems} % Description(s) of tasks/responsibilities
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\item {Led field deployments and onboarding for Edgybees' real-time video georegistration platform, serving as primary technical liaison for deployment, configuration, and training}
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\item {Led complex field deployments of Edgybees real-time video georegistration platform at customer sites}
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\item {Integrated customer hardware, networks, maps and telemetry streams in air-gapped Kubernetes environments}
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\item {Replaced proprietary ESRI/ArcGIS with GDAL/NumPy pipelines, cutting state-scale terrain processing from days to 12 hours on consumer hardware and eliminating external GIS servers and vendors}
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\item {Built in-house expertise on MISB 0601 video telemetry standards to diagnose live georegistration failures at customer sites}
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\item {Delivered technical demos to government and defense stakeholders, securing operational adoption}
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\item {Designed and delivered Python-based GIS backend services, including raster tiling pipelines and tile reprojection tools, eliminating reliance on external GIS servers and improving performance, portability and hardware footprint}
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\item {Developed in-house expertise on MISB 0601 video telemetry standards to troubleshoot live video georegistration bugs at customer sites}
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\item {Served as primary technical liaison during customer onboarding, providing hands-on support for deployment, configuration, and training}
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\item {Delivered high-stakes technical demos to government and defense stakeholders, securing operational adoption}
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\end{cvitems}
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}
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@ -70,7 +59,8 @@
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{
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\begin{cvitems}
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\item {Ported a large discrete-choice modeling codebase from single-node to map-reduce architecture}
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\item {Developed and validated statistical/econometric algorithms (discrete-choice methods) in Python and SAS/IML, benchmarking results against industry standards for production integration}
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\item {Developed statistical algorithms in Python, and SAS/IML for integration into production systems}
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\item {Rigorously validated numerical results against industry benchmarks to ensure accuracy and reliability}
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\end{cvitems}
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}
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@ -82,8 +72,9 @@
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{Oct. 2016 - Oct. 2018} % Date(s)
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{
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\begin{cvitems}
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\item {Led statistical methodology, study design, and analysis for NIH grant proposals and peer-reviewed publications}
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\item {Led statistical methodology and calculations for NIH grant proposals and peer-reviewed articles}
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\item {Directed early-stage data exploration and visualization to uncover patterns and support clinical decision-making}
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\item {Managed PostgreSQL databases to maintain data integrity and support operations}
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\end{cvitems}
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}
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@ -95,7 +86,8 @@
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{Aug. 2010 - Jul. 2016} % Date(s)
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{
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\begin{cvitems} % Description(s) of tasks/responsibilities
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\item{Developed transportation simulation and discrete-choice models in C and R, from literature review to peer-reviewed publication}
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\item{Developed transportation simulation and discrete-choice models in C and R}
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\item{Supported publications: literature review, data analysis, model implementation}
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\item{Designed and taught graduate-level discrete-choice modeling courses}
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\end{cvitems}
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}
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