I'm Taimir Aguacil

Hey there, I'm Taimir

Aguacil

Head of Product & Technology

An experienced Head of Product and Technology with an entrepreneurial mindset. I fuse a solid software engineering foundation with executive business acumen, which I am currently advancing with an Executive MBA at IMD.

Expertise & Focus

My expertise is in leading cross-functional teams to build and scale products across both corporate and start-up sectors. I specialize in digital strategy, cloud-native solutions, and the practical application of AI and machine learning to solve complex business challenges and drive innovation.

Product & Business Strategy

AI & Machine Learning Applications

Multidisciplinary Team Leadership

Stakeholder & Executive Alignment

Professional Experience

Endress+Hauser Group

Product & Technology Manager

Endress+Hauser provides, as part of its portfolio, digital solutions that enhance process automation and efficiency across industries. These include advanced communication technologies, integration services, and IIoT-enabled field devices for optimized process control and data management. As Product & Technology Manager, I lead the development of innovative cloud-edge connectivity solutions. My role involves defining the team's digital and product strategy, aligning efforts toward a product-oriented approach, and building scalable platforms that leverage AI and analytics to optimize operations. I am also a member of the core AI team, reporting to the Group CIO, helping to define the company's group-wide AI strategic direction and governance.

Quantum Dice

Advisor | Strategy, Solution Architecture & Marketing

I have followed Oxford University spin-off from its inception. Their core technology and leadership propelled it to the forefront of innovation and cybersecurity space. I have joined to bring in my skill set in the telecom industry, hardware and embedded system to shape the next generation products to fit multiple business models and accomodate various use cases and client needs. My work includes architecting the 'Quantum Entropy as a Service' (QaaS) offering. I am also advising on the architecture and go-to-market strategy for their new probabilistic computing offering; a high-potential initiative aimed at advanced computational methods like energy-based AI models.

Mazadat, Smarkt Holding Group

Co-Founder, CTO

Realizing the gap in the recommerce space, Mazadat was founder based on 3 pillars. Solving the infrastrcture problem with a decentralized warehousing solution, boosting online payments for second hand, and guaranting trust in the transaction. All of it, built on the vision of contributing to a more sustainable future. As Co-Founder & CTO, I led the end-to-end technology and product strategy, building the platform from scratch to over 1 million downloads. My role involved scaling the team, leading a strategic pivot, and optimizing the cloud infrastructure. To solve a critical business scaling challenge, I deployed machine learning models for content moderation and anomaly detection. This strategic implementation cut manual review by 70% and was key to our operational efficiency.

UCRAFT

Product Managment Consultant

Being one of the most intuitive website builders. Ucraft manages to abstract all the complexity and serve the technology with a few clicks. In fact, this website has been designed on Ucraft in less than a weekend. My mission was short but extremely strategic. The fundamental tech for the next generation builder was complete and I joined to figure out the potential customer segments, go-to-market strategy and adequate pricing for this new product.

Trapeze Switzerland

Product Lead and Sr. Software Engineer

Being a leader in the public transport insudtry. Trapeze is constantly innovating from communication systems to fleet management. I first joined to develop Linux-based embedded systems for the vehicles. They turned out to be 10X faster than their previous generation. The best part was that they were backwards compatible which means that clients didn't have to change the entire hardware unit to have them. This success helped me then prototype more products and set the roadmap for integration with existing systems.

ETH Zürich

Research Engineer

I owe my engineering know-how to ETH. It also gave me the oppurtunity to continue doing part-time research on what I love. I have always been positioned at the boundary between state-of-the-art technologies and industrial commercial applications, which automatically draws you to research. I designed high-performance algorithms using signal processing and machine learning for mobile IoT transceivers. I introduced novel GPS IoT tracking applications that used compressive sensing and machine learning algorithms for mobility tracking. This research was published in the Springer Nature volume 'High Dimensional Optimization and Probability: With a view towards Data Science'.