🚀 AI/ML Engineer | Data Scientist | Systems Builder
- Scalable ML & GenAI systems (RAG pipelines, agentic LLM workflows)
- End-to-end MLOps deployments using FastAPI, Docker, Kubernetes & cloud platforms
- Large-scale data engineering and high-throughput cloud infrastructure projects
- LLM research, reasoning systems & evaluation frameworks
- Applied ML use cases (fraud detection, risk modeling, time-series forecasting)
- Open-source AI tools focused on scalable, production-ready AI systems
- Efficient LLM optimization & inference strategies
- Distributed ML systems & high-performance model serving
- Research collaborations in applied AI/ML
- Advanced agent orchestration frameworks
- Model compression & efficient serving techniques
- Large-scale AI system design & observability
- Retrieval-Augmented Generation (RAG)
- Agentic LLM architectures
- ML model development, validation & monitoring
- Cloud-native ML systems (AWS, Kubernetes, Terraform)
- Fraud & risk analytics
I enjoy reading engineering blogs from companies like Uber and Netflix to understand how ML systems scale in production. Outside tech, I’m usually playing football ⚽ or watching movies 🎬.
