Teams at Sarvam

Lead Sarvam's security strategy and architecture for AI infrastructure and products. Perform BFSI-grade threat modeling, secure APIs and data isolation, drive vulnerability discovery/remediation, run adversarial testing and red teams, integrate security into CI/CD, and improve cloud IAM, secrets management, and detection/response.

Own product roadmaps for ASR, TTS, and model evaluation. Coordinate data collection, training cycles, and releases. Build evaluation frameworks and run experiments (offline, A/B, human) to improve accuracy, latency, MOS, and robustness. Ensure scalable deployment, monitoring, and translate business needs into measurable model goals.

Design and maintain domain-specific evaluation frameworks for LLMs and AI systems: define quality metrics, run pre/post-deployment evaluation cycles, build dashboards, find failure modes and distribution shifts, operationalize automated eval pipelines with MLOps, manage datasets and annotation workflows, and publish quality reports.