Built the Rize Incorporation Self-Serve Platform from 0→1, scaling it to 600+ incorporations/month, 1100+
payments/month, reducing onboarding TAT from 48 hours to 2.5 minutes.
• Designed and shipped Conversational Onboarding for Private Limited incorporations using LangGraph, Supervisor
& Domain Agents, GPT-4o, Redis state management, and cyclic/acyclic agent flows—enabling 250+ successful on-
boardings with highly accurate structured data extraction and automatic flow resets.
• Contributed 8+ reusable components to the Modular Onboarding Framework, adopted across 8+ onboarding appli-
cations to standardize UIs, validations, data models, and platform logic.
• Built async lead-generation pipelines using goroutine + queue delays (5s→10s→20s) with cron retries; collaborated with
FE/SF teams to resolve P0/P1 onboarding issues.
• Re-architected User-Service (∼2000 RPM) with 40+ API migrations to Go, identifier-based proxy middleware, and
goroutine-based parallelization, yielding 3×performance.
• Fixed email/phone update flows and invitation logic, improving experience for 600+ users/month and reducing
250+ monthly support tickets with a redesigned update pipeline and edge-case validations.
• Built document-verification fraud checks using OpenAI (GPT-4.1/4o/3.5) + Google Vision (95% accuracy) and auto-
mated workflows via MCP servers, RAG, agentic AI, resolving 80+ security tickets in 4 days.
• Added Grafana dashboards, alerts, runbooks, and logging/metrics with strong unit, integration, and E2E coverage.

Sole backend owner of the Rize microservice; integrated Marketplace, launched D2C+ community, and refactored archi-tecture using DDD with 82% test coverage.
• Improved reliability by fixing critical issues in dedupe logic, Redis flows, cron jobs, and core APIs.
• Automated merchant onboarding using Google Vision + OpenAI, delivering 92% accuracy.
• Set up stage deployment pipelines using Helm on Kubernetes; fixed Docker image/version issues, resolved P0 incidents,
and safely executed production DB changes.
• Built a scalable logging framework that reduced operational overhead and improved debugging velocity.
Languages: Golang, Java, C++
• Backend: Microservices, Distributed Systems, gRPC,
DDD, SDK Development
• Datastores: MySQL, Redis, DynamoDB
• Queues: Kafka
• Tools: Git, Cursor, Ollama, Antigravity
ACHIEVEMENTS
• Infra: Docker, Kubernetes, Helm, Spinnaker, CI/CD
• AI/LLMs: Prompt Engineering, LLM Automation, Agen-
tic AI, RAG, MCP Servers, LangGraph, Supervisor Agents
• Obs & Testing: Grafana, Prometheus, Logging, Metrics,
Alerts, Unit/Integration/E2E