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╚═╝ ╚═══╝╚══════╝╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝ ╚════╝
i build systems that learn. focused on the intersection of data engineering, machine learning, and applied AI — writing code that scales and models that generalize.
currently exploring large language models, MLOps pipelines, and real-time inference systems.
language python · typescript · sql
ml / ai pytorch · tensorflow · scikit-learn · huggingface
data pandas · numpy · spark · dbt · airflow
backend fastapi · node.js · rest · graphql
infra docker · kubernetes · aws · gcp
store postgresql · mongodb · redis · pinecone
tooling git · jupyter · wandb · mlflow
- 🔬 fine-tuning LLMs for domain-specific applications
- 📊 building end-to-end ML pipelines with automated retraining
- 🧠 experimenting with retrieval-augmented generation (RAG)
- 📝 writing about ML engineering on the side
open to collaborations · ml research · interesting problems