I build AI systems that bridge data, models, and production infrastructure.
As an AI/ML engineer, I focus on reliable model delivery, data-driven pipelines, and generative AI solutions that scale. My work spans data engineering, MLOps, LLM applications, and production inference.
- 🔭 Currently building LLM-powered workflows, GenAI products, and production ML pipelines
- 🌱 Experienced in retrieval-augmented generation, prompt engineering, and model evaluation
- 🧩 Strong background in data platforms, feature engineering, training automation, and monitoring
- 💬 Ask me about:
AI system design,MLOps,GenAI,LLM applications,Data engineering - 📫 Email: tonygaskin.business@gmail.com
- 🧬 GitHub: antonio-gaskin
- Generative AI and LLM systems for assistants, summarization, and knowledge automation
- Data engineering for scalable feature stores, analytics, and training datasets
- MLOps pipelines with experiment tracking, versioning, and production deployment
- Scalable inference with containerized serving, GPU acceleration, and observability
- Cross-functional AI delivery with product, engineering, and research teams
- 🤖 Generative AI and LLM Systems
- 📊 Data Engineering and Feature Platforms
- ⚙️ MLOps, Continuous Training, and Model Monitoring
- 🔍 Retrieval-Augmented Generation and Prompt Engineering
- 🧠 Conversational AI, Summarization, and Knowledge Workflows
- 🌐 Production ML architecture for scale and reliability
| Project | Description | Tech Stack |
|---|---|---|
| LLM Assistant Platform | End-to-end conversational agent with retrieval, prompts, and guardrails | Python, LangChain, OpenAI, VectorDBs |
| Data-Driven ML Pipeline | Feature store and training pipeline for production models | Spark, Airflow, DBT, MLflow, AWS |
| GenAI Content Studio | Multimodal generation system for text and image workflows | Hugging Face, Diffusers, Streamlit |
| Production MLOps Stack | Containerized model serving with observability and autoscaling | Docker, Kubernetes, Terraform, Prometheus |
“AI is not the future — it is the present awakening. The code we write today becomes the consciousness of tomorrow.”
⭐ Building intelligence, one model at a time.
— Antonio Gaskin 🧠