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Zarmeen Tauseef

@zarmeentauseef

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Agentic AI Engineer building secure multi-agent systems and AI-powered product intelligence.

France

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What I'm looking for

I’m looking for a team where I can build secure agentic AI systems that connect to real APIs and produce measurable outcomes. I want ownership of end-to-end prototypes to production, with room to explore VLMs and computer-vision driven products.

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.

Experience

Work history, roles, and key accomplishments

Current

Agentic AI Engineer - Remote

Current

VECTOR Inc.

Jul 2025 - Jul 2025 (0 months)

Building an AI financial OS with a custom MCP server, 8+ specialized agent tools, financial API integrations, and a vector-based knowledge base.
Designing a secure multi-service architecture with JWT authentication, API rate limiting, and real-time synchronization across 3+ platforms while leading full-stack MVP development featuring agentic AI workflows, MCP orchestration & AI cashflow analysis.

React NodeJS TypeScript MCP MCP Servers MCP (Model Context Protocol)Clerk Plaid QBO

AI Automations Engineer

VECTOR Inc.

Dec 2024 - Jul 2025 (7 months)

Built and deployed enterprise voice AI agents using Bland AI and Trillet AI, automating outbound calling and customer engagement workflows.
Designed conversational flows for enterprise clients via prompt engineering, integrating voice interfaces with CRMs and scheduling systems.

Bland.Ai

Deep Learning Engineer

VECTOR Inc.

Feb 2024 - May 2024 (3 months)

Developed client-focused use cases for in-house computer vision products and researched multi-pose deep learning models for integration into the vFit virtual try-on system. Improved vFit inference time by 1000ms to enable faster real-time virtual try-on experiences.

Computer Vision Deep Learning Multi Pose Modeling Virtual Try On (VTON)Real Time Systems

Software Engineer (ML) Intern

VECTOR Inc.

Jul 2023 - Aug 2023 (1 month)

Built a size estimation module for a VTON application achieving 96% accuracy using MoveNet and Haar Cascade. Reduced model loss by 2% and decreased errors by 9% through experimentation with open-source pose detection models and rigorous unit/integration testing.

MoveNet Computer Vision Pose Estimation Experimentation Unit Testing Integration Testing Haar Cascades Haar Cascade

Education

Degrees, certifications, and relevant coursework

FAST - National University of Computer and Emerging Sciences

Bachelor of Science (BS), Artificial Intelligence

Grade: CGPA: 3.70

Activities and societies: Honors: Bronze Medal (Fall 2022); Dean’s Honor List (Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025).

Bachelor of Science in Artificial Intelligence at FAST - National University of Computer and Emerging Sciences, completed June 2025.

Merryland International School

IGCSE, IGCSE

IGCSE at Merryland International School, completed May 2017.

Université Paris-Saclay

Master of Science (MSc), Computer Science (Data, Knowledge and Hybrid Artificial Intelligence)

2026 -

Activities and societies: Relevant coursework: Computer Vision, Generative AI, Deep Reinforcement Learning, Digital Image Processing, Artificial Neural Networks, ML, NLP, MLOps, Data Structures, Algorithms, Linear Algebra, Probability & Statistics.

MSc in Computer Science (Data, Knowledge and Hybrid Artificial Intelligence) at Université Paris-Saclay, commencing August 2026.