🔭 I'm currently working on building reliable backend and ML systems, with a focus on scalable data pipelines and AI model evaluation. I actively contribute to open source (notably Project Ray, where I fixed worker pod deployment issues and improved S3 URL parsing) and enjoy solving distributed systems reliability challenges.

👯 I'm looking to collaborate on cloud infrastructure, distributed systems, and AI-powered applications especially projects involving ML pipelines, LLM orchestration, or backend performance optimization.

🤝 I'm looking for help with advanced object detection models, ML system optimization, and large-scale distributed execution strategies.

🌱 I'm currently learning infrastructure-as-code, serverless architectures, and production-grade LLM orchestration using tools like LangGraph and AWS Bedrock.

💬 Ask me about building AI systems like PillPal (AI-powered medication analysis using AWS Rekognition) or designing scalable backend services that significantly reduce latency and processing time.

⚡ Fun fact: I reduced ML training data processing time by over 60% through targeted pipeline optimizations and cut end-to-end workflow time by 33% using adaptive scheduling techniques.

🏅 AWS Certified Machine Learning Engineer – Associate (MLA)
🔗 https://www.credly.com/badges/6ea8e90a-93f2-454d-8131-5bf45e21fd4e

🏅 AWS Certified Developer – Associate (DVA)
🔗 https://www.credly.com/badges/0a442ece-fe48-4c3a-9580-c90e603d0906