Rewrite summary and tighten bullets for one-page fit

- Reframe summary around cutting cost/complexity and shipping in
  high-friction environments; drop generic personality filler
- Downgrade Airflow bullet to authoring DAGs (not platform ownership)
- Fix stray tilde spacing on "1 PB" and "12 hours"
- Trim bullet tails to remove orphaned words and hold one page

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

examples/resume/experience.tex

@@ -20,7 +20,7 @@
   \begin{cvitems}
     \item {Bridged T. Rowe Price and an external AI consultancy to continue in-flight GenAI work after their offboarding}
     \item {Built GenAI scaffolding on Snowflake Cortex and AWS Bedrock: Streamlit interfaces, DBT pipelines, and AgentCore/MCP prototypes}
-    \item {Navigated T. Rowe Price's fragmented internal systems to provision access and clear enterprise CI/CD gates (quality, SAST, testing), unblocking AI platform delivery}
+    \item {Navigated T. Rowe Price's fragmented systems to provision access and clear CI/CD gates (quality, SAST, testing), unblocking AI platform delivery}
   \end{cvitems}
 }
 
@@ -33,10 +33,10 @@
 {
   \begin{cvitems} % Description(s) of tasks/responsibilities
     \item {Led design and development of cloud-native data infrastructure powering autonomous vehicle telemetry and operational analytics}
-    \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}
+    \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}
-    \item {Deployed and managed Apache Airflow on AWS GovCloud, orchestrating pipelines that decode proprietary robotics formats into analytics-ready datasets}
+    \item {Wrote Apache Airflow DAGs on AWS GovCloud to decode proprietary robotics formats into analytics-ready datasets}
     % \item {Design and optimize PostgreSQL RDS databases, including complex schema, queries, materialized views, and reporting pipelines for engineering, compliance, and executive teams}
-    \item {Designed and optimized PostgreSQL databases, queries, materialized views, and reporting pipelines for safety, platform, integration, devops, and project teams}
+    \item {Designed and optimized PostgreSQL databases, materialized views, and reporting pipelines for safety, platform, integration, and devops teams}
     % \item {Own Terraform infrastructure-as-code deployments covering cloud networking (transit gateways, VPNs), IAM policies, serverless, container workloads, and CI/CD pipelines}
     \item {Owned Terraform infrastructure-as-code deployments, including cloud networking, IAM, serverless, container workloads, and CI/CD pipelines}
     % \item {Build and maintain end-to-end data pipelines supporting safety, regulatory, and business reporting across multiple internal systems}
@@ -55,7 +55,7 @@
   \begin{cvitems} % Description(s) of tasks/responsibilities
   \item {Led complex field deployments of Edgybees real-time video georegistration platform at customer sites}
   \item {Integrated customer hardware, networks, maps and telemetry streams in air-gapped Kubernetes environments}
-  \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}
+  \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}
   \item {Developed in-house expertise on MISB 0601 video telemetry standards to troubleshoot live video georegistration bugs at customer sites}
   \item {Served as primary technical liaison during customer onboarding, providing hands-on support for deployment, configuration, and training}
   \item {Delivered high-stakes technical demos to government and defense stakeholders, securing operational adoption}
@@ -96,7 +96,7 @@
 {Aug. 2010 - Jul. 2016} % Date(s)
 {
   \begin{cvitems} % Description(s) of tasks/responsibilities
-    \item{Developed transportation simulation and discrete-choice models in C and R, supporting peer-reviewed publications from literature review through implementation}
+    \item{Developed transportation simulation and discrete-choice models in C and R, from literature review to peer-reviewed publication}
     \item{Designed and taught graduate-level discrete-choice modeling courses}
 \end{cvitems}
 }

examples/resume/summary.tex

@@ -11,10 +11,10 @@
 
 %---------------------------------------------------------
 
-Data-focused, AI-forward software engineer with over a decade of experience spanning research,
+Software engineer with over a decade spanning research, backend, and data engineering,
-backend development, and data engineering.
+now focused on GenAI platform work.
-Skilled at building scalable, reliable systems with a startup mindset —
+Builds pragmatic systems that cut cost and complexity,
-pragmatic, driven, and focused on quality.
+choosing the right tool for the problem rather than the default.
-Proven leader in customer-facing roles, translating complex technical challenges into real-world solutions.
+Equally at home in customer-facing roles and in ambiguous, high-friction enterprise
-Fiercely committed to doing what’s right, not just what’s easy.
+environments where the hard part is making things actually ship.
 \end{cvparagraph}