Seattle, Washington, United States
I’m a software engineer with 6+ years of experience building distributed systems at AWS scale, and I’m now focused on solving the infrastructure challenges that make AI systems production-ready. My background is in high-scale backend engineering, where I’ve worked on systems for visibility, automation, and reliability across large enterprise environments. At AWS, I architected async reporting APIs that gave customers near real-time quota utilization visibility through a sub-2s framework serving 99% of AWS accounts globally. I also built an internal MCP server for agentic CloudWatch log analysis, reducing manual operational overhead by 25%. More recently, my work has focused on production AI infrastructure — especially the areas that become critical when GenAI connects to real enterprise data. Sentinel is a project centered on secure RAG systems, with a focus on enforcing permissions before retrieval so AI models only access data a user is authorized to see. ProductionRAG explores retrieval quality in enterprise AI systems through hybrid search, reranking, metadata-aware retrieval, and evaluation pipelines that help teams measure quality more systematically. I’m especially interested in roles across AI infrastructure, applied AI, backend/platform engineering, RAG systems, and AI security — where the challenge is not just building AI features, but making them secure, reliable, and scalable in production. Tech stack: Python, Java, AWS, Lambda, DynamoDB, Bedrock, S3, MCP, LangChain GitHub: github.com/aashishravindran
Evaluate the performance of VMAC by conducting experiments on a Raspberry Pi Test bed. Analyze the loss and latency of VMAC and compare it to Ad-hoc. Developed the User space code for CRC (Cyclic Redundancy check) to help identify where packet corruption occurs in a frame. Develop python scripts to compute re-transmission delays and loss Aggregation to analyze and identify patterns in transmission losses.
Developed Qlik View/Qlik Sense dashboards corresponding to business requirements for one of the major players in the American healthcare industry. Designed and Developed Qlik Sense Mashups( an amalgamation of Web technologies and Qlik Analytics).