About
I turn hard systems problems into reliable products.
AI Systems & Backend Engineer specializing in production agentic systems, multi-agent LLM orchestration, real-time workflows, and event-driven infrastructure. I've architected an AI financial advisory platform, a telephony + billing operations platform, and scalable backend services — owning architecture, observability, reliability, and deployment end to end.
My signature across every system: event-driven backends, strict multi-tenant and session isolation, governance and whitelist patterns, and observability baked in from day one. My deepest work is agentic LLM orchestration; my widest-surface work is a telephony + billing + attribution platform I built solo.
Agentic AI systems
Multi-agent orchestration with Google ADK + Gemini — coordinators, specialists, tool-calling, deterministic grounding, and full LLM observability.
Real-time & event-driven backends
Socket.IO call routing, webhook pipelines, Bull + Redis job systems, and infrastructure that stays correct under concurrency.
Billing & money-movement infra
Multi-tenant Stripe Connect billing, payouts, reconciliation, and server-trusted pricing engines built to be auditable.
End-to-end ownership
From architecture and data modeling to observability, reliability, and deployment — I ship and operate production systems.
Experience
Where I've shipped
Professional roles and engagements. (Personal projects live in the next section.)
AI Systems Engineer · Sure Financial
Architected a production AI financial advisory platform and the engagement infrastructure around it.
Jan 2026 — Present
Full-time- Architected a production AI financial advisory platform using Google ADK, Gemini, tool-calling, session memory, and real financial-data grounding.
- Built a coordinator → specialist multi-agent system (routing, conversational advisor, tool/UI actions, and a loan-negotiation journey) with a parallel 'thinking' agent for fast perceived responses.
- Eliminated async context leakage across concurrent user sessions using Python ContextVar isolation.
- Designed structured LLM output schemas (version-gated by client build) enabling dynamic Flutter widget rendering on mobile.
- Reduced hallucinations via deterministic data grounding — compact context cards plus a post-response check that verifies any institution named actually exists in the user's accounts.
- Implemented human-in-the-loop flows (ADK long-running tools) and real-time escalation webhooks for expert consultation.
- Integrated Langfuse observability with per-agent cost attribution and routing-drift detection.
- Built FastAPI services and orchestration infrastructure supporting 1,000+ monthly active users and 4,000+ AI conversations per month.
- Built a dedicated Go (Gin/GORM) gateway microservice to MoEngage for user-profile and event sync, with an internal event-governance catalog enforcing a single, consistent event vocabulary.
Google ADKGemini 2.5 Pro/FlashTool CallingLangfuseDeterministic RAGFastAPIPythonasyncioGoGinGORMPostgreSQLSQLAlchemyFirebase FirestoreCloud SQLGCP / Cloud RunMoEngageLead Backend Engineer · inboundSelect (US client)
Solely architected and built a production inbound-call operations platform — routing, billing, attribution, and marketplace workflows.
2025
Contract- Solely architected and built a multi-tenant inbound-call operations platform handling routing, billing, payouts, attribution, and marketplace workflows.
- Engineered low-latency call routing using Twilio, Socket.IO, and an eligibility-based dispatch engine.
- Developed multi-tenant billing and payout systems using Stripe Connect with financial isolation per agency.
- Built event-driven webhook pipelines and Bull + Redis job systems for invoicing, reconciliation, and recovery workflows.
- Built marketing-attribution backends integrating Twilio inbound webhooks with Google Ads to track live campaign ROI.
- Established inbound/outbound support email infrastructure using AWS SES with suppression-list handling.
- Designed real-time dashboards for attribution, call funnels, revenue analytics, and live operational tracking.
Node.jsExpressSocket.IOTwilioStripe ConnectBullRedisPostgreSQLAWS SESGoogle Ads APIRailwayVercelContract engagement. A deeper technical case study appears in Projects.
Backend Engineer Intern · Exploria
Built scalable REST backends and AWS-integrated workflows.
Apr 2025 — Jun 2025
Internship- Designed and implemented REST APIs using Node.js and Express.
- Integrated AWS S3 and Lambda into scalable backend workflows.
- Built API validation, testing, debugging, and documentation processes.
Node.jsExpressRESTAWS S3AWS Lambda
Selected Work
Projects I've built end to end
Each is a real, production-grade system. Open one for the full case study — problem, architecture, and decisions.
Toolkit
Skills & technologies
The stack I reach for across AI, backend, data, and cloud.
AI & Agent Systems
Backend & Systems
Languages
Databases & Storage
Cloud & Infra
Integrations & Tooling
Open Source
Published & shared
Tools I've released for other developers to use.
Contact
Let's build something together.
Hiring, a contract build, or just want to talk systems? Drop a message — or ask my AI assistant first.