Designing Rootify as a Practical RAG System
A sample project note on turning scattered service logs into an evidence-backed incident analysis workflow.
I build reliable backend and AI-driven systems, from high-scale payment flows to LLM-powered workflows that retrieve, reason, and act.
A sample project note on turning scattered service logs into an evidence-backed incident analysis workflow.
A short note on why agent reliability depends on orchestration, context boundaries, tools, and observability as much as model quality.
What payment systems keep teaching me about latency, consistency, concurrency, and failure modes.
Competitive programming helped me build a habit of reducing problems to constraints, edge cases, and invariants.
An AI-driven incident analysis tool that ingests logs from 30+ microservices, correlates transactions, and generates root-cause analysis using LLMs.
A heartbeat and success-rate based routing layer for payment traffic across multi-infra providers, built to improve failover and transaction reliability.
A settlement reconciliation pipeline for T+0, T+1, and T+2 cycles using CDC, Logstash, and Kafka while isolating heavy workloads from live payout traffic.
A lower-latency card issuance flow for Visa, Mastercard, and RuPay using a pre-generated card pool and Redis-backed distributed locking.
I am easiest to reach by email or LinkedIn for engineering conversations, AI systems, backend work, and roles around reliable production systems.