From 9e4148a526a10c90bc8971973a5d1a96479383c1 Mon Sep 17 00:00:00 2001 From: Jean-Michel Tremblay Date: Mon, 13 Jul 2026 15:52:09 -0400 Subject: [PATCH] Fix verb tenses and add quantified achievements - Convert Forterra bullets to past tense (role ended May 2026) - Add scale/cost metrics: 500K files/day, ~1 PB S3, $10-15K/mo archival savings - Name concrete data consumers (safety, platform, integration, devops, project) - Reframe Edgybees GIS bullet: GDAL/NumPy replacing ESRI, days to ~12h - Ignore TRP-DF.md working notes Co-Authored-By: Claude Opus 4.8 --- .gitignore | 3 ++- examples/resume/experience.tex | 14 +++++++------- 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/.gitignore b/.gitignore index 9e0f3a0..41875b0 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,5 @@ *.aux *.log *.pdf -trash \ No newline at end of file +trash +TRP-DF.md \ No newline at end of file diff --git a/examples/resume/experience.tex b/examples/resume/experience.tex index b416e22..68196c9 100644 --- a/examples/resume/experience.tex +++ b/examples/resume/experience.tex @@ -32,17 +32,17 @@ {Dec. 2021 - May 2026} % Date(s) { \begin{cvitems} % Description(s) of tasks/responsibilities - \item {Lead design and development of cloud-native data infrastructure powering autonomous vehicle telemetry and operational analytics} - \item {Architect and implement Python microservices on AWS Lambda and ECS, processing large-scale S3 event-triggered data streams} - \item {Deploy and manage Apache Airflow on AWS GovCloud, orchestrating pipelines that decode proprietary robotics formats into analytics-ready datasets} + \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 {Design and optimize PostgreSQL RDS databases, including complex schema, queries, materialized views, and reporting pipelines for engineering, compliance, and executive teams} - \item {Design and optimize PostgreSQL databases, queries, materialized views, and reporting pipelines for engineering, compliance, and executives} + \item {Designed and optimized PostgreSQL databases, queries, materialized views, and reporting pipelines for safety, platform, integration, devops, and project teams} % \item {Own Terraform infrastructure-as-code deployments covering cloud networking (transit gateways, VPNs), IAM policies, serverless, container workloads, and CI/CD pipelines} - \item {Own Terraform infrastructure-as-code deployments, including cloud networking, IAM, 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} % \item {Integrate corporate APIs (Microsoft Graph, SharePoint, Slack) for authentication, automated reporting, and operational notifications} % \item {Collaborate cross-functionally to uncover operational data challenges, refine requirements, and shape backend systems that directly support engineering and business goals} - \item {Provide technical leadership in project planning, architecture, and estimation; mentor junior engineers and collaborate cross-functionally to shape backend systems supporting business goals} + \item {Provided technical leadership in project planning, architecture, and estimation; mentored junior engineers and collaborated cross-functionally to shape backend systems supporting business goals} \end{cvitems} } @@ -56,7 +56,7 @@ \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 {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} + \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}