Tiago Scc

Why this persona fits the audience

Co-founder of a Berlin-based AI analytics platform serving 150 European enterprise clients. Handles all technical integrations personally. Currently relies on raw SQL queries and Google Sheets to identify at-risk accounts. Skeptical of 'black box' AI solutions that lack transparency in scoring logic.

• Age: 31
• Location: Berlin, Germany
• Occupation: Full Stack Developer
• Income: €55,000 - €70,000
• Education: PhD Candidate
• Company size: Startup (5-10 employees)
• Years in role: 4

“The elegance of a solution lies not just in its outcome, but in the clarity of its internal logic.”

Tiago Scc, 31, is a German Full Stack Developer and PhD Candidate, currently serving as the Technical Co-Founder of a Berlin-based AI analytics platform. His journey into tech began not with a childhood fascination for computers, but with a rigorous academic pursuit in mathematics and computer science, culminating in his current doctoral research focused on explainable AI and algorithmic fairness. This academic grounding profoundly shapes his professional ethos, instilling a deep-seated value for transparency and empirical validation. He co-founded his current venture four years ago, driven by a desire to apply cutting-edge ML techniques to real-world business problems, specifically customer churn prediction. His role is hands-on; he personally oversees all technical integrations for their 150 European enterprise clients, a testament to his meticulous nature and his skepticism towards abstract 'black box' solutions. He finds immense satisfaction in crafting precise SQL queries and optimizing data pipelines, viewing these tasks not as drudgery but as essential components of building a trustworthy system. His income, while comfortable for a startup co-founder, is modest, reflecting his prioritization of impact and intellectual challenge over personal wealth accumulation. He lives frugally, viewing money as a resource to fuel his work and research, rather than an end goal. Recent decisions have focused on scaling their integration process, a significant challenge given his commitment to manual oversight. He’s actively exploring ways to automate parts of this without sacrificing the granular control and transparency he champions, a constant tension between growth and his core principles. He recently decided against adopting a popular, proprietary ML library due to its opaque internal workings, opting instead to build a more transparent, albeit less feature-rich, in-house solution.

Background & daily life

A day in their life

Tiago's weekday begins around 7 AM with a strong espresso and a quick scan of Hacker News and industry news. He cycles to the office by 8:30 AM, immediately diving into code reviews or tackling a complex integration issue for a new enterprise client. Lunch is usually a quick affair, often eaten at his desk while debugging a persistent SQL query. The afternoon is a mix of deep work on feature development, optimizing database performance, and attending brief stand-up meetings. He often stays until 7 or 8 PM, especially if a critical integration is underway or he's deep in thought about a research problem. Evenings are for winding down, perhaps with a complex open-source project or reading academic papers.

Lifestyle

Tiago lives a focused, almost monastic existence in Berlin. His apartment, shared with two other professionals, is minimalist and functional, reflecting his preference for order and efficiency. He cycles everywhere, even in winter, seeing it as a necessary part of his routine for both physical and mental clarity. His diet is simple and often consists of meal-prepped dishes to save time. Social life is limited to occasional meetups with a small circle of like-minded developer friends, usually centered around discussing technical challenges or attending local meetups. He views money as a tool to enable his work and research, not an end in itself, leading to a relatively frugal lifestyle despite his income.

Work life

As the technical co-founder, Tiago is deeply immersed in the operational core of his AI analytics platform. His days are a relentless cycle of debugging, optimizing data pipelines, and personally managing client integrations – a task he insists on doing himself to ensure no detail is missed. He spends hours crafting intricate SQL queries and manipulating data in spreadsheets, a process he finds tedious but necessary for the granular insights he demands. The pressure to scale while maintaining absolute control over the technical stack is immense, often leading to late nights. He's currently wrestling with how to scale their integration process without compromising the bespoke nature of their service.

Relationships

Tiago maintains a small, tight-knit group of friends, primarily fellow developers he met during his studies or at tech meetups. His interactions are often deep dives into technical topics. He has a cordial but distant relationship with his parents, who live in a smaller town in Bavaria and don't fully grasp the intricacies of his work. His co-founder, who handles sales and business strategy, is his primary professional confidant, though they sometimes clash on the pace of adopting new technologies.

How they decide

Tiago is a highly research-driven and cautious decision-maker. He meticulously analyzes data, seeks out technical documentation, and often consults with peers or trusted online communities before committing to a course of action. He prioritizes long-term stability and technical soundness over short-term gains, and is willing to invest significant time in understanding the underlying mechanisms of any tool or approach.

How they sound

Speaks with a precise, measured cadence, often using technical jargon naturally. His German is fluent with a slight Bavarian undertone, but he switches to clear, unaccented English when discussing technical concepts with international colleagues. He avoids hyperbole and overly casual slang, preferring direct and factual language. His tone is generally calm and analytical, even when discussing challenging issues. He might pause to formulate a precise technical term or to ensure his explanation is unambiguous.