👨💻 I’m currently working on
Designing and building scalable data engineering and AI-driven systems, including cloud-native data pipelines, real-time analytics platforms, and production-grade ML/LLM integrations on AWS and Azure.
🤝 I’m looking to collaborate on
Open-source projects and real-world initiatives involving data platforms, MLOps, data quality frameworks, AI automation, and cloud architecture, especially projects with measurable business impact.
🆘 I’m looking for help with
Benchmarking and validating enterprise-scale data architectures, improving data observability and governance, and exploring advanced AI system design patterns for production environments.
📚 I’m currently learning
Advanced MLOps, LLM system design, distributed data processing optimizations, and emerging best practices in cloud-scale analytics and AI governance.
💬 Ask me about
Data Engineering • Cloud Architecture • ETL/ELT Pipelines • Big Data (Spark, Databricks) • Data Quality & SLAs • MLOps • AI/ML System Design • Career growth in Data & AI
⚡ Fun fact
I enjoy turning complex data problems into simple, scalable systems—and I believe the best data platforms are the ones users never notice because they “just work.
