Pablo Pazos
Computer Science student at USC
CTO & Co-founder at OSIX Tech
Balancing my role as CTO of a growing startup with my Computer Engineering studies. This dual path sharpens both my academic foundation and my real-world leadership experience.
Passionate about problem-solving, I enjoy understanding the full spectrum of technologies without locking myself into a single specialization. This broad technical foundation helps me tackle challenges from multiple angles.
Specialized in applying and integrating AI across workflows, I focus on solving real problems and evaluating solutions with a pragmatic, impact-driven mindset. My strength lies in turning complex challenges into clear, actionable solutions.
Arcade
Take a break with this retro classic
Expertise
Technical Problem Solving
Breaking down complexity, finding optimal solutions, turning challenges into opportunities
AI-Powered Development
Agent architectures, AI adoption, prompt engineering, workflow optimization
Full-Stack Development
Frontend and backend, high and low level, modern web technologies
Team Leadership
CTO role, workflow optimization, technical mentoring, productivity coaching
Entrepreneurial Mindset
Turning ideas into impact, aligning business and technology
Continuous Learning
Adaptability, staying ahead of new tools, and evolving with tech
Versatility
A broad technical foundation across the full development spectrum
As a problem solver, I believe specialization is limiting.
Technology is a tool, not an identity. The moment you define yourself by a specific language or framework, you start making biased architectural decisions. A Python expert might force Python solutions where JavaScript would be better, simply because that's their comfort zone.
Today, with AI as my amplifier, the gap between knowing a technology and being an expert has practically disappeared. I can architect solutions in any language, leverage any framework, and implement using any paradigm because AI handles the syntax while I focus on the system design.
What matters is understanding patterns, principles, and trade-offs. The rest is just implementation details that AI can help with instantly. This approach lets me choose the right tool for each problem, not the tool I'm most familiar with.
Principles
Core philosophies that guide my approach to software development
AI as a Multiplier
Leverage AI to accelerate development and eliminate repetitive tasks. Transform hours of coding into minutes of intelligent prompting.
Jack of All Trades
Breadth over depth enables better problem-solving and design decisions. Understanding the full stack prevents siloed thinking.
Systems Over Syntax
Prioritize design patterns and problem-solving approaches over language-specific knowledge. Design the blueprint, not the bricks.
Rapid Iteration
Ship fast, ship often, improve continuously. Modern tools enable rapid prototyping and testing of ideas.
Pragmatic Innovation
Embrace new technologies when they solve real problems, not for novelty. Every tool choice should have clear business justification.
Continuous Evolution
Adapt quickly to changing requirements and technologies. What works today might be obsolete tomorrow - build with flexibility in mind.
Projects
Real-world solutions built with modern tools and architectural thinking
Nessie – AI-Powered Document Intelligence
Impact Metrics
Technology Stack
University Hackathon Projects
Impact Metrics
Technology Stack
Padel Court Reservation System
Impact Metrics
Technology Stack
Experience
Journey from academic foundations to real-world technical leadership
OSIX Tech
CTO & Co-founder
Key Achievements
Led technical strategy and AI adoption across the team
Achieved an immeasurable productivity boost through AI integration
Built team of 6 engineers from university colleagues
Skills Gained
Residential Community
Security Guard
Key Achievements
Developed court reservation system for the community
Discovered passion for solving real-world problems
Transitioned from academic to modern software practices
Skills Gained
University of Santiago
Computer Engineering Student
Key Achievements
Explored all areas of computer science fundamentals
Participated in multiple hackathons with team
Self-taught modern software design and best practices