Jun 2023 – Present · 2 yrs 11 mos

• Architected and led the development of a unified AI agent platform supporting multi-modal, multi-channel deployments (voice, text, video). The platform integrates LLMs, STT, TTS, VAD, turn-taking, and multimodal models, with an emphasis on natural, context-aware interactions. Implemented Retrieval-Augmented Generation (RAG) pipelines to ensure domain-relevant, real-time responses across use cases. Designed short-term and long-term memory capabilities to preserve conversational context and adapt agent behavior over time. Optimized for low-latency execution through caching and parallelized processing pipelines, enabling near-human responsiveness. This platform is leveraged org-wide as a foundation for AI-driven applications, ensuring consistent agent behavior and accelerating product development velocity.

Aug 2021 – Jun 2023 · 1 yr 10 mos

• Led the modernization of the community platform by transitioning from a monolithic architecture to microservices, significantly improving scalability, modularity, and team agility. As the lead engineer, I drove the design and optimization of the feed ranking algorithm to enhance user engagement, and built a real-time notification system capable of handling traffic spikes with minimal latency. Oversaw the decoupling and migration of core features—including connections, feed, and notifications—ensuring seamless data transition and uninterrupted service. Provided technical leadership across backend and infrastructure teams, balancing hands-on development with architectural decision-making to deliver high-impact systems.

Nov 2020 – Aug 2021 · 9 mos

• Led the design and development of core features for user connection management, including sending, accepting, blocking, and disconnecting requests. Designed and implemented a graph-based connection recommendation engine leveraging relationship data to drive network growth and user engagement. Spearheaded the migration of the connection management module from a monolith to an independent microservice, ensuring smooth data migration, high availability, and minimal disruption. Played a key role in shaping the service architecture and collaborating across teams to deliver scalable, high-impact systems.