Michele Fattoruso

Chicago, IL

• ▸ Building agentic AI systems end-to-end: Python backends on AWS Lambda orchestrating LLM workflows, and Angular frontends that surface AI-driven insights to internal teams.
• ▸ Optimizing AI pipeline efficiency — reducing latency, cutting token cost, and improving output reliability through prompt engineering, model routing, and response caching strategies.
• ▸ Owning the full stack: API design, Lambda deployment, and Angular UI — tighter feedback loop between the AI layer and the product it powers.

Chicago, IL

• ▸ Designed and shipped a cloud-native climate risk data platform from scratch — ingesting 10+ TB annually via AWS Glue, PySpark, and Step Functions, feeding downstream ML risk models and regulatory reporting.
• ▸ Built configuration-driven ETL logic so adding a new dataset is a config entry, not a code deployment; onboarded three new datasets the next quarter with zero engineering time.
• ▸ Delivered the first production deployment in under 3 months; serverless Glue pricing came in ~30% under initial infrastructure cost estimates.

Chicago, IL

• ▸ Built a synthetic testing framework that hit 90%+ code coverage across the platform and cut deployment regressions by 26% over six months — turning a largely manual QA process into an automated signal.
• ▸ Designed a concurrency-safe REST API locking mechanism for 20+ microservices, enabling consistent read/write access to shared records across distributed consumers without coordination overhead.
• ▸ Led root cause analysis on a critical Kafka consumer failure that was causing silent data loss; resolved it without a full outage and reduced production downtime incidents by 70%.

Chicago, IL

• ▸ Integrated the test suite with AWS Lambda and SQS to automate failure detection at the messaging layer — halved manual QA time while increasing signal coverage.
• ▸ Rebuilt deployment pipelines using CodePipeline and CodeBuild; 2× release velocity, consistent artifact promotion across environments.
• ▸ Independently audited the cloud architecture and proposed a serverless-first refactor that cut infrastructure costs by 90% without degrading performance.

DeKalb, IL

• ▸ TA for "Advanced Programming in C++" and "Algorithms and Data Structures" — ran labs, led code reviews, and tutored 40+ students on complexity analysis and systems-level programming.

DeKalb, IL

• ▸ Built a custom network simulator for hybrid agent-based models used in academic research, extending the engine's modularity and analytical depth through a plugin API.

Batavia, IL

• ▸ Rebuilt the CI/CD pipeline from scratch — automated testing and deployment workflows cut build times by 60% and eliminated manual release steps.
• ▸ Replaced weekly status reports with a real-time Django + Google Charts dashboard, giving stakeholders live visibility into system health.
• ▸ Wired Git hooks and log parsing to surface actionable debugging context automatically; authored onboarding docs that cut new-contributor ramp time by 50%.