// System Architecture

THE PROGRAM

From system preparation to production deployment: an engineer's 18-month campaign for the 2027 Tillotson T4 Ireland Championship.

// The Mission

System Optimization

Pahim Racing exists at the intersection of elite software engineering and competitive motorsport. The 2027 Tillotson T4 Ireland Championship is a complex system optimization problem with measurable inputs, testable hypotheses, and quantifiable outputs.

The objective: demonstrate that professional discipline, open-source methodology, and data-driven iteration can outperform traditional intuition-based racing models. Every variable, from driver mass to cornering trajectory, is a parameter to be measured, analyzed, and optimized.

pahim-racing@campaign:~
$ pahim-racing --methodology
Approach: Engineering-First
Framework: Measure → Analyze → Optimize → Repeat
Phase 1: Foundation (Aug 2025 – Dec 2026)
Phase 2: Competition (Mar – Sep 2027)
Status: █ ACTIVE
// Campaign Phases

The Phased Approach

PHASE 1: FOUNDATION ACTIVE

System Preparation

Physical, technical, and technological preparation for championship-level competition. August 2025 through December 2026.

✓ 119kg → 89kg physical transformation
▸ Rental kart track sessions across Ireland and abroad
▸ BoxBox telemetry dashboard development
Explore Foundation →
PHASE 2: COMPETITION SCHEDULED

Production Deployment

T4 Ireland Championship rookie season with Stapleton Motorsport. March through September 2027.

○ Tillotson T4 Ireland Championship, Senior 168
○ Stapleton Motorsport racing team
○ Alfano 7 professional telemetry
Explore Competition →
// Deployment Schedule

Campaign Timeline

PHASE 1: FOUNDATION ACTIVE

Aug 2025 – Dec 2026

✓ Physical: 119kg → 89kg
▸ Track development
▸ BoxBox telemetry
View details →
PHASE 2: ROOKIE SEASON SCHEDULED

Mar – Sep 2027

○ T4 Ireland Championship
○ Stapleton Motorsport
○ Alfano 7 telemetry
View details →
PHASE 3: OPTIMIZATION PLANNED

Post-season 2027

○ Season data analysis
○ Driver + setup optimization
○ Year 2 strategy
// Phase 3: Optimization

What's Next

The rookie season generates the data. Post-season, every race, every lap, and every decision is reviewed through the same engineering lens applied to the preparation phase. Data-driven iteration on driver performance, chassis setup, and race strategy informs the Year 2 campaign.

› Lap-by-lap regression analysis: correlating driver inputs, setup changes, and track conditions to identify the highest-leverage variables
› Setup knowledge base: documenting chassis tuning decisions and their measurable effects across different circuits and conditions
› Year 2 strategy: transitioning from data collection to targeted performance gains, informed by a full season of baselines
// The Founder

Amador Pahim

Senior Principal Software Engineer at Red Hat, specializing in virtualization, automation, and systems architecture. The same methodology used to design and operate enterprise-scale platforms (rigorous testing, observable systems, iterative improvement) is applied to every aspect of this campaign.

Motorsport is not new territory. Amador competed in a Brazilian state karting championship as a teenager, racing two seasons in a 2-stroke IAME series that built the foundational racecraft now being reactivated. A lifelong passion for racing, shaped by growing up watching Senna, never left. Karting remained a constant through the years, but the discovery of Ireland's Tillotson T4 Championship, a sealed-engine series where engineering discipline outweighs budget, was the catalyst to return to serious competition.

LinkedIn → BoxBox → GitHub →

Interested in the Campaign?

Whether you're a potential partner, a fellow engineer, or just curious about the intersection of software engineering and motorsport.

Partnership Alignment → Get In Touch →