My Work on AI for All

Leading Technical Development for AI in Underserved Communities

My Role & Contributions

As the lead developer and technical architect of the AI for All initiative, I:

Designed and implemented the distributed AI architecture
Developed the edge computing framework for low-power devices
Optimized cloud infrastructure costs by 40% through spot instance strategies
Led a team of 5 engineers to deliver the pilot program on schedule

Key Achievements

Scalable Architecture

Designed system supporting 10,000+ concurrent users across 20 communities

Cost Optimization

Reduced cloud infrastructure costs by $8,000/month through innovative spot pricing strategies

Community Impact

Enabled 500+ farmers to increase crop yields by 25% using AI-powered insights

Technical Skills Demonstrated

Cloud & Infrastructure

AWS (EC2, Lambda, S3)
Kubernetes orchestration
Edge computing frameworks

AI/ML Development

TensorFlow Lite for edge devices
Distributed model training
Data pipeline optimization

Leadership

Agile project management
Cross-functional team leadership
Stakeholder communication

Project Metrics

Metric	Value	Impact
System Uptime	99.95%	Reliable service delivery
Data Processed	15TB/month	Real-time insights
Cost Savings	$96,000/year	Sustainable operations
User Growth	300% YoY	Proven scalability