Kabir Raj Singh

• Engineered & operate a multi-region, petabyte-scale log analytics platform using OpenSearch, Kafka, and Scala on OCI Kubernetes — ingests 9 PB/day of logs with sub-5s p99 query latency at peak throughput.
• Built custom MCPs from scratch for OpenSearch, Kibana, and the log-processing platform for cluster operations & SOC investigations — became the most-used method of accessing the platform for analysis and development.
• Designed agentic LLM workflows for automated security rule generation & anomaly detection — cut manual rule creation effort by 70% and identified previously undetected anomaly classes.
• Implemented safe, controlled LLM query interfaces over OpenSearch clusters — enabled automated log investigations & root-cause analysis for significant Tier-1 incidents.
• Architected advanced observability & alerting pipelines with Prometheus, Grafana & custom metrics exporters — improved visibility and reduced incident triage time across hundreds of microservices.

• Developed a reimbursement flow application using lightweight ML models for text and image processing built from scratch — streamlined end-to-end workflows.
• Recognized as "Budding Tech Genius" for top technical contributions among the intern cohort.

• Optimized the Android voice assistant wake-up pipeline and ASR processing — significantly enhanced trigger reliability and user interaction.

• Built a production-ready, policy-aware RAG gateway to block unsafe LLM outputs — leveraged LlamaIndex, Qdrant vector DB & semantic routing for low-latency compliance enforcement.

• Created an end-to-end platform aggregating & analyzing reviews from Twitter, Reddit, and Google Play using LLM-powered spam filtering, translation & clustering — produced actionable issue clusters and sentiment dashboards.

• Engineered a full-stack application (Next.js frontend + Flask backend) for automated invoice/expense claim processing with OCR — reduced manual data entry by 50%.

GPA: 8.38 / 10

96.2%