PRODUCT THINKING
Understand the problem before choosing the solution.
I'm a Computer Science student at FAST-NUCES, a full-stack developer, and the Founder & CTO of Aptivo. Most of what I learn comes from building—taking an idea from a rough thought to a working product, putting it in front of real people, and figuring out what needs to change next.
My interests sit at the intersection of software engineering, product, startups, and AI/ML. I enjoy the technical side of building, but I'm equally interested in why something should exist, how people will use it, and how a small idea can grow into something meaningful.
Learning development initially meant understanding how websites and software worked. Over time, building projects made me care about much more than writing code—the product decisions behind a feature, the systems that keep it running, the people using it, and the trade-offs involved in actually shipping.
That eventually led me to build Aptivo, where I've worked across product development, frontend and backend engineering, technical decisions, operations, and team leadership.
Building something of my own changed the way I approach software. I stopped thinking only in terms of “Can I build this?” and started asking “Should this be built? Who is it for? What happens after we ship it?”
I prefer learning through execution.
I like starting with the smallest version of an idea that can actually work, building it, testing the assumptions behind it, and improving it from what happens in the real world.
I don't expect the first version to be perfect. I expect it to teach me what the second version should become.
Understand the problem before choosing the solution.
Turn the solution into a reliable working system.
Move it beyond the development environment and into people's hands.
Learn from usage, feedback, mistakes and constraints.
My strongest experience is in full-stack web development. I'm especially drawn to projects where I can understand the whole system instead of working on an isolated piece of it.
AI/ML is an area I'm actively growing into rather than something I want to overstate.
I've been experimenting with concepts such as RAG, embeddings, vector databases, semantic search, AI agents, multi-agent systems, and machine learning through projects and research exploration.
The interesting part for me isn't adding “AI” to every product. It's understanding where these systems genuinely create useful capabilities.
EXPLORATIONS / OPSMIND · AGORAAs Founder & CTO of Aptivo, I've had to think beyond architecture and code—about product direction, priorities, users, teams, operations, communication, and what actually deserves to be built next.
It has made me interested in the space between engineering and leadership: being technical enough to build and understand the system while also thinking about the product and the people around it.
I'm still learning that balance. That's part of what makes building a startup interesting to me.
Alongside product development, I'm interested in AI/ML research and interdisciplinary computing.
I'm particularly curious about problems where computer science meets areas outside traditional software—where machine learning, intelligent systems, data, or computation can help us understand or solve problems in new ways.
For me, research is another form of building: start with a question, test assumptions, learn from evidence, and gradually make the question better.
Startups, product strategy, leadership, emerging technology, research, and the messy process of turning an idea into something real tend to keep my attention.
I enjoy conversations with people who are building something—whether that's software, a startup, research, a community, or simply an idea they haven't figured out yet.
I'm currently focused on becoming a stronger engineer, continuing to build Aptivo, going deeper into AI/ML and research, and working on projects that force me to learn things I don't already know.
I'm open to engineering roles, early-stage startup opportunities, research collaborations, and ambitious projects where I can contribute while learning from people with deeper experience.
Long term, I want to stay close to the intersection of technology, products, research, and entrepreneurship—building things that are technically interesting and useful outside the screen.