Rohit Modh

Engineered an AI-driven agentic workflow to automate cross-repository API synchronization, triggering dependent microservice PRs from OpenAPI specs to reduce manual integration overhead. Architected an Identity Resolution Service to deterministically unify customer profiles across 500k+ records and improved CRM integration uptime to 99.95% via resiliency patterns and Datadog/Grafana/OpenTelemetry.

Directed a backend platform migration and persistence layer rewrite, improving async I/O to increase throughput by 35% and reduce error rates by 25%. Centralized secrets management with Akeyless and partnered on Dockerized CI/CD pipelines (GitLab CI/CD and GitHub Actions) to cut production lead time by 66%.

Built high-scale microservices for a US sales application, handling over 100k+ daily service calls and thousands of concurrent requests across North America. Reduced service latency by 30% and integrated Dockerized CI/CD with centralized logging to cut manual release time by 40% and issue resolution time by 25%.

Built a real-time messaging engine implementing state synchronization and load balancing to support high-concurrency event management sessions. Refactored data access logic and tuned database interactions in core messaging modules to reduce server resource utilization by 30%.

Overhauled core service modules for AON’s professional services platform, optimizing data workflows to improve operational efficiency. Increased task completion efficiency by 25% for a global workforce of 66,000 users.

Earned a B.Tech in Computer Science and Engineering from Lovely Professional University in 2016.