Uses

Languages

• Python -- My primary language for ML/AI work, data pipelines, and backend services
• TypeScript -- Web applications, APIs, and infrastructure-as-code with AWS CDK
• Rust -- Systems programming and performance-critical components

AI / ML

• PyTorch -- Deep learning model training and experimentation
• Hugging Face Transformers -- NLP tasks, model fine-tuning, and inference
• LangChain -- LLM application orchestration and RAG pipelines
• Amazon Bedrock -- Managed foundation models for production workloads
• Strands Agents -- Open-source SDK for building AI agents with model-driven tool orchestration

Cloud (AWS)

• Amazon SageMaker -- Model training, hosting, and MLOps
• Amazon ECS -- Container orchestration for microservices
• AWS Lambda -- Serverless compute for event-driven workloads
• AWS Step Functions -- Workflow orchestration for ML pipelines
• AWS CDK -- Infrastructure-as-code in TypeScript

Frontend

• Next.js -- React framework for server-rendered and static sites
• React -- UI component library
• Tailwind CSS -- Utility-first CSS framework

Data

• PostgreSQL -- Primary relational database
• DynamoDB -- NoSQL for high-throughput, low-latency workloads
• OpenSearch -- Full-text search and log analytics
• Redis -- Caching and session management

DevOps

• GitHub Actions -- CI/CD pipelines
• Docker -- Containerization for development and deployment
• Terraform -- Multi-cloud infrastructure provisioning