AI Systems Engineer @ Google | Ex-BCG
Building production-grade AI systems that drive real-world decisions
I am a Data Scientist and AI Engineer with 10+ years of experience delivering high-impact machine learning solutions across healthcare, advertising, and industrial systems. Currently at Google, I design and implement scalable AI/ML systems that enable organizations to make data-driven decisions at scale.
- AI Systems Design & Architecture
- Generative AI (LLMs, RAG, Agents)
- Machine Learning in Production (MLOps)
- Decision Intelligence & Experimentation
- Languages: Python, R, PySpark, SQL
- ML/AI: Scikit-learn, TensorFlow, PyTorch
- GenAI: LLMs, Prompt Engineering, Retrieval-Augmented Generation
- Data: BigQuery, Spark
- Systems: End-to-End ML Pipelines, Model Deployment
๐ง Currently building and open-sourcing AI systems and case studies. Stay tuned.
I believe AI is most valuable when it is:
- Scalable
- Interpretable and explainable
- Aligned with real business impact