- Revamped legacy application by introducing an event-driven microservice architecture, enhancing usability, portability, and reducing load times.- Developed a robust, scalable microservice architecture using Ruby, Python, TypeScript, and JavaScript, leveraging Kafka for communication, and Docker and Kubernetes for containerisation.- Implemented an automated approach for training fine-tuned models across a distributed GPU cluster.- Optimised the microservice architecture, improving scalability, fault tolerance, and high availability.- Collaborated with cross-functional teams to implement comprehensive data privacy and security measures.- Introduced automated testing and deployment pipelines, reducing release cycles, and ensuring system robustness.- Mentored and fostered a highly skilled engineering team, instilling a culture of innovation and continuous learning.

Work: Hybrid Intelligence in Market researchMost brands and businesses today still target by demographics. This is largely based on the idea that people from the same gender (i.e all women) should receive the same message, or all African Americans because of their race, or all old people, rich people, or young people should be targeted the same way because of their demographics.This is what we call targeting for the lazy.To gain a deep understanding of your user, you have to understand how they act and what they do. At Trybes, we go even further, we understand why they make specific choices, what influences them, and how their motivations and perception support the way they see their world.What's the trick to gaining such deep insights? The truth is no human-only or machine-only solution can gain the level of understanding we aim to achieve on users. Humans can’t make sense of an enormous amount of data but machines can do that efficiently. On the other hand, we can understand context and make decisions in complex situations better than the most powerful machines today.Understanding that, we are leveraging the best of both worlds to make you uncover your current and future customers among their tribes.Our hybrid intelligence approach couples AI-driven research methodologies with brand ethnographic studies to deeply understand the user in today's rapidly changing world.In doing so, we identify true user behaviour and attitudes, uncover met and unmet needs, and formulate a clear understanding of growth opportunities and the current perception of the brand.

- Brought on to lead a cross-functional team in orchestrating the engineering of a real-time last-mile delivery SaaS platform.- Employed Docker and Kubernetes for scalable, fault-tolerant application deployment, ensuring seamless handling of high traffic volumes in real-time.- Utilised RabbitMQ as a reliable message broker for effective inter-service communication, enhancing the system's robustness and responsiveness.- Incorporated Datadog for comprehensive real-time performance monitoring, enabling early detection and resolution of potential issues, ensuring high uptime and user satisfaction.- Collaborated closely with stakeholders to understand and meet unique needs, crafting tailored solutions that significantly contributed to customer satisfaction and business growth.

Entrepreneur First selects the world's best technical individuals for their program in London. One of 38 selected to participate in Europe's elite startup accelerator (out of >900 applicants).

Technology in Retail Leveraging technology to bridge the gap between offline and online retail. As a founder, I managed marketing, fundraising, technology, strategic deals, and PR.Tech stack can be found here: http://imgur.com/a/czIlb.Worked with a team of 30 people.

Developed a hybrid intelligent 3D SaaS software that empowers aircraft designers to innovate freely, reducing time and costs associated with aerodynamic testing.Gained valuable experience in leading machine learning projects, preparing me for tech leadership roles that require a deep understanding of AI technologies.

Founded an online micro-task marketplace that had > 100,000 users.Built and designed the initial product with legacy PHP as the backend. As it grew bigger, I outsourced a bunch of tasks to remote developers, managers, and marketers. The first marketplace to allow people request for tasks. This has since been copied by Fiverr. Sold after a year of operation.