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FinTech + Payments
PCI-grade systems that move money safely — and AI that makes them smarter.
Gateways, merchant services, payouts, risk, reconciliation, and settlement built for reliability
and scale. At Pine Labs I led the re-architecture of a legacy payments stack serving millions
of transactions. Today I bring AI-Native thinking to FinTech through the AINE BFSI vertical —
covering GST intelligence, bank reconciliation, and document management.
Core payments engineering
- Payments architecture: gateways, ledgers, settlement, PCI-DSS
- Risk & fraud: rules + ML, velocity checks, device signals
- Operations: reconciliation, chargebacks, auditability
- Analytics: BI pipelines, exec dashboards, reporting at scale
- Resilience: idempotent APIs, exactly-once Kafka, retries, failover
- Commusoft US tax system — dynamic address-based tax with zip.tax API (COM-26680)
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PostgresPCI-DSS
AI on FinTech (AINE BFSI vertical)
- GST Vendor Intelligence — automated vendor compliance and risk scoring
- Bank Reconciliation AI — intelligent matching and exception handling
- Document Management — structured extraction from financial documents
- Rahee Infratech engagement — ₹75–110L scope across these three solutions
- QuantumMeta / Meta-WEX — institutional crypto bridge and prediction markets
BFSIAINE
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Representative wins
- Pine Labs — re-architected payments stack, 25× throughput, PCI compliance maintained
- Unified billing & payouts APIs across product lines
- Real-time fraud signal integration — reduced fraud losses measurably
- Chargeback workflows with SLA tracking and analytics dashboards
- Commusoft US tax — dynamic zip.tax integration across all job/invoice flows