Zarmeen Tauseef

I’m an Agentic AI Engineer focused on turning ambitious AI ideas into reliable, production-ready systems. I build agentic architectures that can orchestrate tools, connect to real-world APIs, and deliver measurable business value.

At VECTOR Inc., I’m building an AI financial operating system by creating a custom MCP server with 8+ specialized agent tools across financial APIs (Plaid, QuickBooks) and a vector-embedded knowledge base. I also design secure multi-service architectures with JWT authentication, API rate limiting, and real-time data synchronization across integrated platforms for AI agent interactions.

Previously, I developed enterprise voice AI agents using Bland AI and Trillet AI, automating outbound calling and customer engagement workflows. I owned prompt-engineered conversational flows that integrate voice interfaces with CRMs and scheduling systems, ensuring these agents behave consistently in client environments.

My technical foundation spans computer vision and deep learning: I improved vFit inference time by 1000ms for faster real-time virtual try-on experiences. Earlier, I delivered a 96% accurate size estimation module using MoveNet and Haar Cascade, reducing module loss by 2% and decreasing errors by 9% through experimentation and rigorous unit & integration testing.