01 · Challenge
A distributed team had 24 hours to frame an AI startup opportunity, divide work, build a coherent prototype, and present it convincingly.
Back to work
1st place · TETRVerse
Glow AI
A cross-continental team project delivered under a compressed deadline, earning first place at the TETRVerse International Startup Hackathon.
Scroll into system
Case study brief
The problem, then the product response.
02 · Response
I led the team through rapid scope control, parallel execution, prototype assembly, and pitch preparation across India, Sri Lanka, and Nigeria.
System anatomy
How the system coordinates work.
The architecture is expressed as responsibilities and boundaries so the model, workflow logic, interfaces, and human controls remain inspectable.
01
Rapid problem framing and scope control
02
Python prototype built under a 24-hour deadline
03
Collaborative pitch delivery across a distributed team
Implementation
What I built and the decisions behind it.
01
Reduced the idea to a demonstrable core within the event deadline.
02
Coordinated responsibilities and frequent alignment across time zones.
03
Built the Python prototype and integrated the team's contributions.
04
Prepared and delivered the final startup narrative and demonstration.
Evidence & validation
What an evaluator can inspect.
Public source repository.
First-place event result.
Project and team record retained in the portfolio.
Reflection
Under extreme time pressure, clear ownership and aggressive scope control create more value than attempting a large unfinished system.
Next iteration
- →Revisit the concept with customer discovery.
- →Separate prototype code from production architecture.
- →Define measurable product assumptions before further development.
Outcomes
What the project delivered.
First-place recognition
Cross-continental team coordination
Public source repository
Technology & concepts
01Python02Hackathon03Rapid Prototyping04Pitching05Team Leadership