Software Engineer @ Amazon · LLM Infrastructure & Multimodal Platforms
I build and scale mission-critical backend systems for AI-driven products, with deep experience in distributed systems, LLM infrastructure, and multimodal platforms serving global traffic.
Hands-on engineer focused on resilient architecture and measurable business impact.
I'm a Software Engineer with expertise in building large-scale distributed systems and cloud infrastructure. Currently at Amazon, I build and scale mission-critical backend services powering Echo Show's LLM-driven multimodal experiences, sustaining 100K+ TPS with high availability across global traffic.
My work spans multi-agent LLM orchestration, RAG and hybrid retrieval, scalable data pipelines, and model-serving systems that enable real-time, context-aware AI experiences in production.
A track record of shipping stable systems, improving efficiency, and scaling platforms.
Selected work across platform engineering, AI systems, and cloud architecture.
Built and scaled backend services for Echo Show's LLM-driven multimodal experiences, sustaining 100K+ TPS and enabling real-time, context-aware AI interactions at global scale.
Designed automated, cloud-native hardware validation framework, improving test throughput by 3x while reducing infrastructure cost by 50%.
Engineered distributed data pipelines and ML systems providing real-time supply insights for 1M+ materials using BERT NER and XGBoost.
I write about distributed systems, AI engineering, and lessons from production.
Blog posts coming soon...
Open to backend, distributed systems, and AI platform opportunities.
I'm currently open to new opportunities. Feel free to reach out!