Topher Williams

由于政府在大麻领域的新要求和法规，这是一个复杂的项目, 而且当时大多数商业种植者普遍缺乏成熟的技术.

和公司的CEO一起工作, 我帮助他的团队构建和管理开发backlog, 优化功能优先级, interview clients, 并监督了一年多的开发项目.

这个项目在技术上很棘手，因为它涵盖了大量的技术:云后端和web应用程序, 集成了RFID阅读器的本地移动应用程序, 固定基础设施RFID读取器, and on-site middleware. 除了各种各样的技术在发挥作用, 该系统需要满足各种政府(和主权国家)的报告和审计要求, 其中大多数在我们开发系统时都没有很好地定义.

The MomCo app was a mobile app (native iOS and Android apps) that used geolocation services to help moms find other moms with similarly aged children near. 这款应用还推广了公司在美国各地举办的游戏约会和其他活动, private mom groups, 还有很多其他的功能.

这款应用曾在《欧博体育app下载》中亮相，吸引了超过5万名妈妈使用该平台. 这款应用的粘性和采用率吸引了300美元,在我任职公司期间，我获得了2000万美元的种子基金.

With the ability to get moms (a highly valuable demographic) to attend events and provide feedback on products and services that were available to try at these events, 我们开始开发功能，使应用程序可以作为虚拟消费者面板使用. 我们这样做是为了把精选的妈妈系列的使用权卖给那些想要销售给这些人群的品牌. 这是一个令人兴奋的平台扩展机会.

The client is an online retailer looking to optimize the allocation of their capital across hundreds of thousands of products that they could potentially sell. 增加了另一个层次的复杂性, 客户也在亚马逊上销售现成的产品, 这意味着存在动态竞争, pricing pressure, 其他因素也使得需求和价格预测变得尤为棘手.

Working with the client, 我们设计了一个理想的工作流程，可以实现最高的效率和自动化. The workflow would use algorithms to identify potential products from Amazon's 450 million item product catalog that might be good performers for the client to sell.

The algorithms would add brands to a sales pipeline tool where workers would process the leads and attempt to establish relationships with the manufacturers and obtain pricing information (and other logistic information). The workers would then submit that data to another software solution that would perform an in-depth financial analysis of each product, 包括利用几种机器学习算法, 确定企业可以采取行动的最佳库存投资组合. 这种效率使该公司能够扫描数十万种产品.

The client was interested in building a SaaS product to replace in-house financial analysis and reporting spreadsheets and other AIS tools they used with a more automated and integrated web solution that could also be sold to other firms.

The client being a full-service accounting firm had no in-house technical resources or any experience bringing technical products to market. 在这个项目中，我以内部CTO的身份与客户合作.

作为副首席技术官, 我与客户合作，捕捉并细化他们的产品愿景和需求, 将这些产品需求分解到用户场景中, 定义了项目的技术栈和系统架构. 一旦这个前期工作完成, I managed a vendor selection process to qualify on- and off-shore development firms and guided the client through the partner decision making process. 一旦选定了开发公司, 在整个项目中，我一直与他们一起工作，共同管理敏捷开发过程, 作为产品负责人, 还包括管理用户验收测试和其他客户责任, 同时透明地沟通项目状态, issues, and so forth to the client.

对于这个项目，我致力于定义语音分析产品的MVP应该是什么样子.

我对市场做了深入的分析, 从球员的角度来看, 是什么商业模式在起作用, 存在什么样的技术关系, 以及每个竞争者的产品是什么样子的.

我与客户的几个现有和潜在客户合作，以确定他们的痛点, 概念测试潜在的产品功能和商业模式, 并真正尝试理解这些技术如何在他们的组织中创造价值.

With this information, I developed an MVP concept, including which features should (or should not) be a part of the MVP (and what a feature roadmap might look like—similar to a PRD), as well as a few business model options and how each of the models might perform (considering various development cost scenarios combined with different operational cost and pricing models).

在获得客户利益相关者的支持后, 我研究了MVP的定义，并创建了用户故事来分解和描述MVP的每个功能, 以及我之前确定的技术合作伙伴的技术评估和选择标准.

As Q.ai's head of product, I led a team of designers, researchers, product managers, 和客户支持代表应用数据驱动的实验和决策, 基金账户的月增长率超过10%，年流失率降低到3%以下. Additionally, 我实施了一个OKR流程，并开发了一些流程，将整个组织的创新系统化. 有了产品待办事项列表的所有权，我推动了Q的成功.并帮助它在福布斯的保护伞下成长.

The client is a sales and marketing agency that uses several tools and spreadsheets to engage in outbound email marketing and appointment-setting activities. I worked with the client and development teams to build an easy-to-use web application that automated several labor-intensive tasks like sourcing, importing, validating, 丰富联系人信息, writing email copies, 根据活动表现组织联系, and reporting). Cost reductions were achieved by automating as many processes as possible by integrating with various data brokers in a cost-effective manner, 利用人工智能进行文案, 并建立一个报告平台，为企业和客户服务.

带领一个工程师团队设计了一个基于rfid的系统，提供加密安全, 供应链资产真实性验证. 该系统由一个web应用程序组成, server applications, 以及嵌入式硬件应用. 我在美国空军工作过, Lockheed Martin, 和其他利益相关者定义满足网络安全和其他国防部标准的系统需求. We delivered a system that allowed the USAF and their suppliers to verify the authenticity of materials and components and to trace each item's lifecycle through manufacturing and repair processes.

率先开发并实施了一项创新, 人工智能手机健身游戏, 利用OpenAI的ChatGPT来拟人化各种游戏角色, 增强交互性和用户参与度.

利用即时工程有效培训ChatGPT, 创造多样化的AI个性, 每个人都有专业知识, 提供独特且吸引人的游戏体验.

Actively collaborated with a cross-functional team to ensure the AI integration complemented the game design while optimizing the overall user experience.

领导严格的测试和调试程序, 确保最佳的人工智能性能，并有助于交付高质量的产品, robust gaming product.