{ "name": "Zahir Parris", "url": "https://humandirectory.ai/zahir", "humanViewUrl": "https://humandirectory.ai/zahir", "summary": "Zahir Parris is Work and Health Coach & AI Champion at The Growth Company, with past experience at Let AI, BaxterStorey, Burges Salmon, studied at Zero To Mastery Academy.", "bio": "Zahir Parris is a Work and Health Coach and AI Champion at The Growth Company, also founding Let AI. 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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." }, { "title": "AV & Systems Integration Manager", "org": "BaxterStorey", "startDate": "2023-01", "endDate": null, "current": false, "description": "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" }, { "title": "AV Solutions Engineer", "org": "Burges Salmon", "startDate": "2022-04", "endDate": null, "current": false, "description": "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" }, { "title": "Operations & Systems Development Lead", "org": "Pizzarova", "startDate": "2020-02", "endDate": null, "current": false, "description": "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" }, { "title": "Bar Operations & Systems Coordinator", "org": "Season + Taste", "startDate": "2018-11", "endDate": null, "current": false, "description": "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%" }, { "title": "Arts Assistant", "org": "XTRAX", "startDate": "2010", "endDate": null, "current": false, "description": "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": [ { "title": "Complete Python Developer", "org": "Zero To Mastery Academy", "startDate": "2021-07", "endDate": null, "current": false, "description": "" }, { "title": "BA, International Development with Social Anthropology and Politics", "org": "University of East Anglia", "startDate": "2014", "endDate": null, "current": false, "description": "" }, { "title": "Building Agentic AI Applications with a Problem-First Approach", "org": "LevelUp Labs", "startDate": "2026", "endDate": "2026", "current": false, "description": "Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application.\n\nIdentify where agentic AI can add value by reframing business challenges through a systems lens\n\nUnderstand why traditional software assumptions fail in AI-driven environments\n\nEvaluate tradeoffs between model choices, latency, performance and cost\n\nLearn to frame AI problems through measurable outcomes rather than features or model choices\n\nUnderstand how evaluation acts as the backbone of reliable agentic systems\n\nIdentify and quantify failure modes early using proxy metrics and iterative testing\n\nDesign smarter prompts using decomposition, meta-prompts, and algorithmic optimization\n\nCompare reasoning and non-reasoning models for different business tasks\n\nImplement evaluation and guardrail techniques using LLM judges and semantic scoring\n\nIntegrate retrieval, memory, and self-reflective behavior in agentic systems\n\nBalance tradeoffs between accuracy, latency, and adaptability in agentic systems\n\nAnalyze multi-agent coordination patterns and challenges & learn about protocols like MCP/A2A\n\nWork in small teams to design and implement an end-to-end agentic AI solution for a real business problem\n\nBuild an agentic search system across three iterations, integrating RAG, MCP, and multi-agent components\n\nPresent your final project to 2000+ attendees including enterprise leaders, investors, and hiring managers", "link": "https://maven.com/aishwarya-kiriti/genai-system-design" } ], "investments": [], "offerings": [], "faq": [ { "question": "Who is Zahir Parris?", "answer": "Zahir Parris is a Work and Health Coach and AI Champion at The Growth Company, also founding Let AI. 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