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shawn-albert/README.md

Hi there, I'm Shawn! 👋🏾

LinkedIn Portfolio Email

Shawn's GitHub Stats

👨🏾‍💻 About Me

Programmer working on laptop with large screen and terminal I'm an AI innovator and tech enthusiast with a passion for building scalable systems that drive real-world impact. I architect and engineer solutions that transform how organizations leverage data, ML, and AI.

💡 What I Do

  • Create scalable data platforms and ETL workflows
  • Design and implement end-to-end MLOps pipelines
  • Build cloud-native AI infrastructure
  • Develop innovative solutions using LLMs and custom ML models

🛠️ Technical Toolkit

📑 Category ⚡ Technologies
🤖 AI/ML LLMs & Agents: Amazon Bedrock, LangChain, Llama, Claude
Machine Learning: SageMaker, PyTorch, scikit-learn, XGBoost
Causal Inference: econml, DoWhy
NLP: Comprehend, spaCy
☁️ Cloud & Infrastructure AWS: CloudWatch, SNS, SQS, Lambda, EC2, EMR, EKS, QuickSight
IaC: Terraform, AWS CDK
Containers: Docker, Kubernetes, ECS
🔄 MLOps & DataOps ML Platforms: SageMaker Studio, MLflow
CI/CD: GitHub Actions, Jenkins
Orchestration: Dagster, Airflow, Step Functions, SageMaker Pipelines
Model Lifecycle: Feature Store & Model Registry
⚙️ Data Engineering Data Warehouse: Redshift, Athena & Glue Catalog
ETL/ELT: dbt, Apache Spark, AWS Glue
Data Lakehouse: Lake Formation, Apache Iceberg
💻 Programming Languages: Python, SQL, TypeScript, Bash
Big Data: PySpark, SparkSQL
Web Dev: Next.js, React, Streamlit
Version Control: Git, GitHub
🗄️ Databases Relational: PostgreSQL, MySQL, Amazon RDS
Graph: Neo4j, Amazon Neptune
NoSQL: DynamoDB
Query: SQL, Cypher

🎯 Core Strengths

  • 🏗️ Enterprise AI Systems: Building scalable AI/ML platforms and applications
  • 🔧 MLOps & Platform Engineering: Automating ML lifecycles and infrastructure
  • 🌐 Cloud Architecture: Designing robust, scalable cloud solutions
  • 📊 Data Platform Modernization: Implementing modern data architectures
  • 💡 Product Innovation: Driving AI-powered product strategy

📈 Recent Focus Areas

MLOps GIF

  • Large Language Models & AI Agents
  • Causal Inference
  • Cloud Architecture & Data Platforms
  • Machine Learning Operations (MLOps)

📂 Featured Projects

Project Description Tech Stack
Professional Portfolio Modern portfolio featuring server-side rendering and motion effects Next.js 14, TypeScript, shadcn/ui
Code Context Consolidator Python script that consolidates code files into a single text file for LLM context Python, Typer, uv

📚 Latest Blog Posts

Let's connect and build something great together!

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  1. portfolio portfolio Public

    A modern portfolio built with Next.js 14, TypeScript, and shadcn/ui. Features server-side rendering, MDX content management, and motion effects.

    TypeScript

  2. financial-insight-ai-agent financial-insight-ai-agent Public

    A multi-modal financial research assistant leveraging Amazon Bedrock to provide AI-driven insights, streamline investment analysis, and enhance data-driven decision-making through natural language …

    Python 1