Teams at Acclaim AI

Design, build, and maintain a scalable internal LLM agent framework and backend services in Python. Ensure observability and reliability via metrics, tracing, and monitoring. Collaborate with ML/NLP teams to adapt the framework for customers, build automated LLM evaluation pipelines, and support integrations and parallel processing for production systems.

Lead DevSecOps engineer owning security and compliance implementation across infrastructure, CI/CD, Kubernetes, and cloud. Implement SOC 2/ISO controls in Drata, automate onboarding/offboarding and access reviews, drive SDLC security (SAST/SCA/secrets), run vulnerability management and incident response, and spend ~60% on infrastructure operations, monitoring, and on-call.

Lead development and productionization of TTS and voice-generation systems: train, fine-tune, evaluate models, deploy and optimize for inference, latency, scaling, monitoring, and reliability; translate research into production and define technical direction while collaborating with research, engineering, and product.