Atulya Tibrewal

Improved reliability across 2 microservices by introducing production-calibrated timeouts, circuit breakers,
and monitoring, reducing worst-case request duration by 40%.
Established organization-wide AI engineering standards by codifying Django, testing, and observability
practices into ~10 agent skills, adopted by ~20 engineers across 4 teams.

Architected a scalable telemetry ingestion framework aggregating organizational and security data from
multiple systems.
Built Atlas, an automated vuln monitoring platform for source repos and container images
Automated penetration testing within CI/CD, expanding security coverage and reducing vulnerability
reporting time by 7x

Architected an end-to-end data migration platform that onboarded 5 clients across 9 services, processing
datasets from 50K to 5M rows.
Designed an ABAC-based Identity and Access Management architecture that standardized fine-grained
authorization across 12 services and 3 products.
Optimized critical backend APIs, reducing P95 response times by 70% and average latency by 50%.

Established reusable event-driven and serverless reference architectures on GCP, validated through
proofs of concept and adopted by 6 teams.

Built a technology portfolio reporting capability that consolidated visibility across the tooling landscape,
enabling removal of redundant technologies, lower costs, stronger SDLC governance, and ~2x faster
decision-making.

Completed a Bachelor of Technology in Production and Industrial Engineering, focusing on optimizing production processes and improving industrial systems.