Back to Work
SportsTechLive product and expansion roadmap

Who's Got The Shot

AI + AR measurement for lawn bowls, Bocce, and precision sports.

Built and delivered an AI + AR lawn bowls measurement app using a YOLO-trained computer vision pipeline, native iOS, and LiDAR-assisted measurement, with expansion planned for Bocce and similar precision sports.

Role

Founder, computer vision lead, mobile AR product builder

Timeline

2024 - Present

Users

4K+ players/downloads publicly positioned

Problem

What was broken or inefficient?

Close-shot decisions in lawn bowls are still slowed by visual guessing and manual tape measurement, creating friction during play.

Solution

What Mohammed built

WGTS uses phone-based AI and AR measurement workflows to make shot decisions faster, more objective, and more accessible.

Feature Breakdown

Core modules and product decisions

The strongest work sits at the intersection of product judgment, technical architecture, and operating constraints.

Bowl and jack detection workflow

AR measurement experience

LiDAR-supported spatial sensing

Native iOS product implementation

3D WebGL game prototype direction

Expansion model for Bocce and similar sports

Outcomes

  • Turned a niche sports pain point into a computer vision and mobile AR product.
  • Created a platform direction that can expand across precision-measurement sports.
  • Demonstrated applied AI beyond chat interfaces and enterprise dashboards.

Lessons

  • Computer vision products need product design around confidence, not just detection.
  • Niche markets can reveal high-value workflows when the product removes a repeated source of dispute.

Recruiter Takeaway

Mohammed can build applied AI products that combine model work, mobile execution, user experience, and market expansion.

Architecture

How The System Holds Together

These are public-safe architecture layers: enough to show leadership judgment without exposing sensitive implementation detail.

01

Native Measurement

The iOS app uses camera and AR flows to support quick, phone-based measurement moments.

02

Vision Pipeline

Object-detection work identifies sport-specific targets before measurement decisions are presented.

03

Expansion Surface

The product roadmap extends from utility measurement into 3D WebGL and mobile game experiences.

More Work

Related Proof Points

LEO AI logo

LEO AI

AI Platform

https://www.leoai.ca/

Source-grounded legal intelligence for law enforcement agencies.

Built the complete LEO AI RAG platform for law enforcement legal intelligence, including retrieval pipelines, citations, guardrails, agency administration, officer access, and credit-based pricing.

5

Agency-scale onboarding

1,250+

Officer-scale reach

RAGLLMVector DatabaseLegal AI
NexxusOne Platform logo

NexxusOne

Secure SaaS

nexxusone.ca

Secure public-safety collaboration for multi-agency coordination.

Built and delivered a secure public-safety collaboration platform for law enforcement agencies, modernizing officer coordination, secure messaging, case workspaces, and encrypted information sharing.

300+

Officer-scale adoption

AES-256

Enterprise-grade encryption posture

Law EnforcementSecure MessagingRBACAudit Logs

AI and data infrastructure for controlled-environment agriculture.

Led TerraGrow as a founder/operator, building agritech data systems that connected AI, IoT, cultivation intelligence, dashboards, and business operations.

$2M

Venture-backed execution

3M+

Large-scale agritech telemetry

AgriTechIoTAI AnalyticsData Infrastructure