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Rewrite summary and tighten bullets for one-page fit

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- 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>
This commit is contained in:
Jean-Michel Tremblay 2026-07-13 17:25:09 -04:00
parent cd9170c28b
commit 370345a534
2 changed files with 12 additions and 12 deletions
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12
examples/resume/experience.tex
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@ -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 {Deployed and managed Apache Airflow on AWS GovCloud, orchestrating pipelines that decode proprietary robotics formats into analytics-ready datasets}
\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 {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}
}

12
examples/resume/summary.tex
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@ -11,10 +11,10 @@
%---------------------------------------------------------
Data-focused, AI-forward software engineer with over a decade of experience spanning research,
backend development, and data engineering.
Skilled at building scalable, reliable systems with a startup mindset —
pragmatic, driven, and focused on quality.
Proven leader in customer-facing roles, translating complex technical challenges into real-world solutions.
Fiercely committed to doing what’s right, not just what’s easy.
Software engineer with over a decade spanning research, backend, and data engineering,
now focused on GenAI platform work.
Builds pragmatic systems that cut cost and complexity,
choosing the right tool for the problem rather than the default.
Equally at home in customer-facing roles and in ambiguous, high-friction enterprise
environments where the hard part is making things actually ship.
\end{cvparagraph}