DAVID MAMANI BLOGS · AI ENGINEER / DATA ENGINEER

From Hackathon to Production: Lessons from 3 Wins

What I learned shipping under extreme time pressure

What I learned shipping under extreme time pressure, and why the winning demo is rarely the most technically complex one.

#The Counterintuitive Truth

After winning three hackathons, the biggest lesson is that scope is the only variable. You cannot change the deadline, team size, or judging criteria. You can only choose what not to build.

python
class HackathonApp:
    def __init__(self):
        self.demo_mode = True

    async def process(self, user_input):
        if self.demo_mode:
            return self.hardcoded_response(user_input)
        return await self.real_pipeline(user_input)
timeline
    title Hackathon Journey
    2024 Q3 : AI Agent Hackathon
            : MCP desktop controller
            : 1st Place
    2024 Q4 : Cloud Native Challenge
            : Voice agent with live tools
            : 1st Place
    2025 Q1 : Automate Me
            : Full desktop automation
            : 1st Place
40-60%
Polish time
48h
Typical build window
3
Repeat wins

Local time (UTC-5:00)

AI Engineer and 3x Hackathon winner specializing in agentic AI orchestration and data engineering. AWS Certified Data Engineer focused on physics, calculus, and statistics. Currently completing a B.S. in Civil Engineering.

-- × -- -- fps

AREQUIPA, PERU

AI ENGINEER / DATA ENGINEER