ISABELLA BERTAGNOLLI

(801) 495-3221 ◆ Irosebertagnolli@gmail.com ◆ bellabertagnolli.com ◆ GitHub ◆ LinkedIn

Work Experience

HashiCorp (an IBM Company) Remote

Delivery Intelligence Team (Cloud Release Engineering)

Software Engineer II Jul 2026 – Present

Engineered and trained an XGBoost AI/ML change-risk scoring model with custom precision/recall tuning, accelerating low-complexity releases 20–30% while blocking high-risk pull requests before deployment.
Architected a 3-layer federated reliability intelligence data lake aggregating telemetry and deployment events across 10+ internal services (Datadog, incident.io, GitHub, Argo CD).
Constructed automated ETL ingestion pipelines in Go and Python to normalize release logs, incident reports, and APM metrics into parquet schemas for model feature stores.
Engineered a unified shared context engineering architecture to ground internal LLM agent workflows and tool execution in real-time infrastructure topology.
Built automated validation engines and modernized CI/CD guardrails, reducing overall deployment runtimes by 70% across core cloud platforms.
Implemented dependency-aware disaster recovery workflows across distributed deployments, reducing system recovery MTTR by over 80%.
Consolidated platform development tooling from 12 federated service teams into 2 unified core deployment engines to eliminate architectural drift.
Founded and spearheaded an org-wide engineering mentorship program across HashiCorp, organizing 3 months of technical tracks, workshops, and 1:1 pair programming sessions.

Cloud Release Engineering Team

Software Engineer I Feb 2025 – Jul 2026

Junior Software Engineer Aug 2024 – Feb 2025

Built backend logic and REST APIs for single-click rollback functionality, reducing rollback duration from hours to under 10 minutes during active production incidents.
Instrumented canary health analysis automation in Go, onboarding 20+ engineering services to progressive traffic shifting based on real-time metric thresholds.
Developed emergency breakglass release mechanisms with full audit logging, allowing engineers to bypass blocked deployment stages safely during P1 outages.
Architected reusable GitHub Actions composite workflows used across SaaS deployment pipelines to enforce standard test, lint, and security compliance checks.
Engineered custom monitoring dashboards and alerting integrations using Datadog APIs to track deployment frequency, failure rate, and canary anomalies.
Authored automated integration test suites and mocking harnesses for internal release microservices, increasing pipeline test coverage by 25%.

Software Engineering Intern May 2023 – Aug 2023

Implemented 6 custom resources and data sources in Go and HCL for an internal Terraform provider to manage internal cloud infrastructure state.
Integrated the Terraform provider directly with HashiCorp's internal Metadata Service to automate infrastructure component discovery and cataloging.
Wrote unit and acceptance test suites with mock HTTP servers to validate CRUD state management across all provider schemas.
Documented provider usage and schema definitions, enabling internal platform teams to adopt declarative infrastructure management.
Streamlined developer configuration setup, measurably boosting team development iteration speed by 5%.

Verdant Robotics — Software Engineering Intern Hayward, CA | May 2022 – Aug 2022

Trained and benchmarked a PyTorch convolutional classification model for edge deployment on field robotics, achieving 88% crop/weed classification accuracy.
Engineered custom Python ETL tools to extract, decode, and transform raw camera sensor logs from embedded field systems into labeled training sets.
Implemented a custom PyTorch `Dataset` and `DataLoader` pipeline supporting dynamic multi-resolution scaling, spatial cropping, and data augmentations.
Optimized computer vision data ingestion pipelines, cutting batch preprocessing runtime by 35% during model training cycles.
Built automated image validation scripts to identify and filter corrupted frame captures before model ingestion.

Northrop Grumman — Cyber Network Engineering Intern Ogden, UT | May 2021 – Aug 2021

Developed a distributed network emulation testbed in Python and C# using Docker containers to simulate up to 200 virtual target nodes simultaneously.
Constructed automated network topology generation scripts using Docker Compose and virtual bridge networking for cyber defense training exercises.
Built packet generation and traffic simulation tools to validate throughput, packet drop rates, and firewall response times across emulated subnets.
Containerized modular network services to streamline testbed deployment across multiple on-premises test servers.
Documented emulator deployment APIs and architecture guidelines for internal cybersecurity testing teams.

Skills

Languages: Go, Python, C++, C, Java, SQL, HCL, JavaScript, HTML/CSS

Machine Learning & Data: PyTorch, XGBoost, Scikit-Learn, Pandas, NumPy, Feature Engineering, ETL Pipelines, Parquet

Cloud & DevOps: Terraform, GitHub Actions, Docker, Kubernetes, Argo CD, Datadog, incident.io, CI/CD Guardrails, Disaster Recovery

Education

University of Utah — BS in Computer Science Graduated May 2024

GPA: 3.90 | Leadership & Activities: Women in Computing Club (President & Treasurer), Teaching Assistant, Undergraduate Ambassador