La Shauna E. Nichols
Frontend Loving Full Stack Developer
I craft end-to-end solutions with 10+ years of experience building scalable applications and leading development teams.
Previously Engineering Manager at Scratch and Lead Fullstack Engineer at FabricFeed.io
TypeScriptReact & Next.jsNode.jsPythonAWSJavaGoKafkaBedrockAI/ML
Currently finishing my Masters in Computer Science Degree online at Colorado Technical University (Expected Graduation 6/26).
Frontend Development
- Modern React Architectures
- Performance Optimization
- Responsive & Interactive UIs
Backend Development
- API Design & Development
- Database Architecture
- Real-time Systems
DevOps & Cloud
- AWS Infrastructure
- CI/CD Pipelines
- Scalable Architecture
Most Recent Projects
Streamlined Textile Inventory System for Medium to Large-Scale Operations - 2/2025
A high-performance inventory and shipmemt system with the ability of 100K+ daily transactions with real-time inventory and AI-powered recommendations.
Frontend Architecture
- • Next.js Server Components
- • Real-time Activity Reporting
- • Custom Data Tables & Search
- • Results Calculations Algorithm
Backend Systems
- • AWS VPC setup + Load Balancer
- • ECR with ECS Deployment to Fargate
- • Kafka Event Streaming
- • AWS S3 File Storage Integration
Key Achievements
- • 99.99% Uptime with Blue-Green Deployment
- • 300ms Average API Response Time
- • 45% Reduction in Infrastructure Costs
Project (Video)AI Powered Academic Study Platform & GeneratorSystem - 11/2024
A scalable quiz generation platform for both students and educators using the power of LLM's and ML to take any notes document, syllabus or web page and generate a quiz. Educators can gauge profficiency and students can prep for finals.
Frontend Features
- • Public Version using Llama
- • Interactive Dashboard (Sudent/Teacher)
- • Customize & Store Quizes
- • Teacher Dashboard & Reporting
Backend Pipeline
- • Apache Kafka Streams
- • AWS EC2
- • Python Data Processing
- • Redis Time Series
Performance Metrics
- • Average 5 sec Processing
- • Sub-second Query Response
