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Zahir Parris

Manchester, United Kingdom

Bio

Zahir Parris is a Work and Health Coach and AI Champion at The Growth Company, also founding Let AI. Their background spans AV and systems integration, operations, and development across diverse industries, complemented by a BA in International Development and a Python Developer certification.

Work Experience
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Work and Health Coach & AI Champion

The Growth Company

Mar 2025 – Present · 1 yr 2 mos

In this hybrid strategic-coaching role, I guide clients toward sustainable employment by aligning wellbeing with productivity.

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Founder

Let AI

Feb 2025 – Present · 1 yr 3 mos

Let AI helps small and scaling businesses turn artificial intelligence into real operational advantage – without losing the human heart of their work. We bridge the knowledge gap so your teams feel confident, not threatened, by AI. Our focus is simple: use technology to support people, strengthen culture and improve outcomes across your organisation.

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AV & Systems Integration Manager

BaxterStorey

Jan 2023 · 3 yrs 4 mos

Led all AV tech operations and conference event systems in a fast-paced legal environment. Championed automation and smart scheduling tools to streamline setup, maintenance, and client interfacing. Implemented digital asset tracking and automated reporting processes, cutting prep time by 40% Designed SOPs for scalable AV support Coordinated multi-vendor tech integrations for seamless hybrid event experiences

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AV Solutions Engineer

Burges Salmon

Apr 2022 · 4 yrs 1 mo

Owned technical operations across complex AV systems in corporate settings. Took initiative to modernize legacy systems and streamline cross-team collaboration using digital tools. Spearheaded diagnostics tracking for AV system performance monitoring Reduced downtime by introducing predictive maintenance protocols Regularly consulted on cross-department tech upgrades, ensuring future-proof implementations

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Operations & Systems Development Lead

Pizzarova

Feb 2020 · 6 yrs 3 mos

Oversaw full operations of a thriving restaurant while driving systematic optimisation and tech transformation across staff management, and inventory systems. Passionate about fusing hospitality with modern systems for efficiency and scale. Key wins: Real-time data dashboard management for daily performance and sales forecasting Automated inventory management using low-code solutions Enhanced team productivity by overhauling staff scheduling via digital management tools

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Bar Operations & Systems Coordinator

Season + Taste

Nov 2018 · 7 yrs 6 mos

Managed front-of-house operations with a focus on core process optimisation and staff workflows. Trained team in tech-forward service tools, boosting speed of service by 30%

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Arts Assistant

XTRAX

2010 · 16 yrs 4 mos

Supported logistics and project delivery across national art festivals. Early exposure to systemised planning, scheduling tools, and collaborative tech platforms planted the seed for later work in operational optimisation.

Education

Complete Python Developer at Zero To Mastery Academy

Jul 2021

BA, International Development with Social Anthropology and Politics at University of East Anglia

2014

Building Agentic AI Applications with a Problem-First Approach at LevelUp Labs

2026 – 2026

Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application. Identify where agentic AI can add value by reframing business challenges through a systems lens Understand why traditional software assumptions fail in AI-driven environments Evaluate tradeoffs between model choices, latency, performance and cost Learn to frame AI problems through measurable outcomes rather than features or model choices Understand how evaluation acts as the backbone of reliable agentic systems Identify and quantify failure modes early using proxy metrics and iterative testing Design smarter prompts using decomposition, meta-prompts, and algorithmic optimization Compare reasoning and non-reasoning models for different business tasks Implement evaluation and guardrail techniques using LLM judges and semantic scoring Integrate retrieval, memory, and self-reflective behavior in agentic systems Balance tradeoffs between accuracy, latency, and adaptability in agentic systems Analyze multi-agent coordination patterns and challenges & learn about protocols like MCP/A2A Work in small teams to design and implement an end-to-end agentic AI solution for a real business problem Build an agentic search system across three iterations, integrating RAG, MCP, and multi-agent components Present your final project to 2000+ attendees including enterprise leaders, investors, and hiring managers

maven.com/aishwarya-kiriti/genai-system-design