index update

Author: NathanLuckock

index.qmd

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 I build real-world backend systems that connect industrial data to modern platforms. My work spans API development, data streaming, containerized deployment, and cloud integration.
 
-I’m currently studying Computer Science at BYU–Idaho while working full-time as a software developer. My stack includes FastAPI, Docker, Redis, MQTT, and Kubernetes — and I’ve built scalable services used in production.
+I'm currently studying Computer Science at BYU–Idaho while working full-time as a software developer. My stack includes Python, FastAPI, Docker, Redis, MQTT, and Kubernetes.
 
-## What I’ve Done
+## What I've Done
 
 - Designed and deployed ODBC interface services using FastAPI  
 - Integrated MQTT for real-time streaming from industrial systems  
-- Built extractors to move crypto and industrial data into modern storage (T-Store)  
+- Built extractors to move industrial data into modern storage 
 - Used Docker and Kubernetes for portable, efficient deployments  
 - Created custom polling and caching layers using Redis
 
 ## What I'm Exploring
 
-I’m transitioning into data science with plans to build:
+I'm transitioning into data science with plans to explore:
 
-- **Predictive Modeling with Historical Time-Series Data** An ML model (LSTM/XGBoost) that analyzes historical data to forecast future trends in industrial output, resource demand, or financial metrics. Features dynamic visualizations and real-time predictions for operational decision-making.
+- **Machine Learning & Predictive Modeling** Building models to forecast trends and patterns in various datasets
+- **AI Integration & LLM Applications** Working with large language models and AI agents for data analysis
+- **Computer Vision & Media Generation** Exploring image processing and automated content creation
+- **Natural Language Processing** Developing systems that understand and process human language
 
-  
-- **AI-Powered Script-to-Video Generation Pipeline** A comprehensive pipeline that transforms written scripts into short video content using LLMs, image/video APIs, and voice synthesis. Demonstrates advanced AI coordination across language processing, media generation, and rendering tasks.
-
-  
-- **Natural Language Agent for Structured Data Analysis** An intelligent AI agent that interprets natural language queries and analyzes uploaded or connected data sources (e.g., CSVs). Leverages LLM technology to provide accurate, human-readable answers and visual insights from real business data.
- 
 ## My Goal
 
 To combine backend engineering with applied AI and data science — building tools that are both intelligent and production-ready.