01Experience
Northstar Downhole Specialists
Software Engineering Intern
Enterprise backend development, data integrity, cloud infrastructure, automation, and verification across OdooRedo, an internal operational system.
- Python 3.13
- Django 5.2
- PostgreSQL 17
- pytest
- Playwright
- GitHub Actions
- AWS ECS
- AWS RDS
- IntakeOperational requirement
- BackendBackend workflow + authorization
- DataData / migration control
- InfraInfrastructure-as-code change
- TestUnit + PostgreSQL validation
Public-scope workflow+2 more
Contributions
- Built and extended backend workflows using Python 3.13, Django 5.2, and PostgreSQL 17.
- Worked on controlled Documents and IPR workflows and related RCA/CAPA, approval, notification, external-intake/submission, RBAC, and audit-trail behavior.
- Implemented and validated rollback-safe migration and reconciliation paths with explicit data-integrity checks.
- Worked with AWS services and Terraform-managed infrastructure spanning ECS, RDS, S3, SES, ALB, and WAF.
- Contributed to a nine-job CI workflow and a PostgreSQL-backed automated test suite.
- Used end-to-end browser coverage to verify critical user journeys.
- Ran a scoped synthetic load exercise with 40 simulated users and 200 requests.
Context
The public resume and LinkedIn record describe work across OdooRedo, an enterprise operational system. This page names it and summarizes that approved scope; the code, data, deployment details, and repository are private.
In one line
Building secure enterprise backend and applied-ML workflows across OdooRedo, data migration, AWS infrastructure, CI, and end-to-end verification.
Measured outcomes
1,286
PostgreSQL-backed tests in CI
Validation snapshot reported in the current resume.
Point-in-time count, not a live counter.
13
Playwright end-to-end tests
Validation snapshot reported in the current resume.
9
CI jobs spanning integration, E2E, typing, containers, security
Pipeline composition as described in the current resume.
≈128 ms
p95 response time, 40 simulated users / 200 requests
Scoped synthetic load exercise with zero unexpected errors observed in that specific test.
Synthetic point-in-time validation for the tested scenario; not a production SLA or a claim about every endpoint.
Tools & stack
- Python 3.13
- Django 5.2
- PostgreSQL 17
- pytest
- Playwright
- GitHub Actions
- AWS ECS
- AWS RDS
- Amazon S3
- Amazon SES
- Application Load Balancer
- AWS WAF
- Terraform
- Docker
- Git
Scope of this page
This summary is limited to information already present in Jacob's current public resume and LinkedIn profile. The underlying repository, customer data, operational configuration, and internal documentation are not public, and no employer screenshot, hostname, or internal architecture is shown.
- The 40-user, 200-request result is a synthetic validation workload, not production traffic.
- No uptime, customer count, compliance, or production-scale claim is made.