Siddarth Srinivas

Deploy and integrate AI-powered features into client environments, bridging the gap between platform capabilities and production requirements. Serve as the technical interface between product and end users, translating system behaviour into actionable guidance during onboarding and rollout. Document deployment workflows and integration patterns to support repeatability and reduce onboarding friction at scale.

Supported technical operations workflows within a large-scale managed services environment, gaining exposure to enterprise infrastructure and operational tooling. Collaborated with cross-functional teams to monitor, troubleshoot, and maintain system reliability across client-facing infrastructure. Documented operational procedures and contributed to process standardisation efforts across the team.

Designed and implemented Python-based pipelines to parse and analyze structured performance data (XML/logs) Integrated large language models to generate structured, context-aware feedback from raw metrics Focused on reliability, correctness, and output consistency for production-like usage Packaged tools for ease of use by non-technical users, improving adoption and feedback cycles