Mousam Saikia

Designed the architecture of an agentic AI onboarding platform for Mastercard’s SVQ Benchmarking Service, replacing hard-coded per-product onboarding with configuration-driven orchestration; the program targets cutting onboarding from 7 months to 2 weeks (~93%). Built the agent pipeline (intent, planning, tool selection, schema/KPI mapping, A2A, RAG retrieval, config generation, validation) with the LLM orchestrating while deterministic services own business rules, governance and anti-identification controls, keeping model risk auditable in a regulated workflow.

Built Mastercard

Move payment tracking and reconciliation (Java 21, Kafka, Spring Batch, PostgreSQL) across 5+ lifecycle states, aimed at 30% less manual investigation.

Senior Software Engineer — VQ Agent: Agentic AI Product-Onboarding Platform at Mastercard (2026-05 – Present)

• Designed the architecture of an agentic AI onboarding platform for Mastercard’s SVQ Benchmarking Service, replacing hard-coded per-product onboarding with configuration-driven orchestration; the program targets cutting onboarding from 7 months to 2 weeks (~93%).
• Built the agent pipeline (intent, planning, tool selection, schema/KPI mapping, A2A, RAG retrieval, config generation, validation) with the LLM orchestrating while deterministic services own business rules, governance and anti-identification controls, keeping model risk auditable in a regulated workflow.
• Built Mastercard Move payment tracking and reconciliation (Java 21, Kafka, Spring Batch, PostgreSQL) across 5+ lifecycle states, aimed at 30% less manual investigation.
• Member of the CEO Award-winning team at Mastercard AI in Action Demo Day.

Consultant Specialist — HSBC: Global Cross-Border, Cross-Currency SWIFT Payments 59+ Country at Capgemini (2023-12 – 2026-04)

• Architected a cross-border, cross-currency payments platform across 59+ countries (SWIFT MT/MX, ISO 20022, CBPR+) handling $35B+ in annual volume.
• Designed idempotency, retry and rule-based routing across payment hubs, cutting duplicate-payment incidents and manual reconciliation by 40%.
• Reduced payment-processing latency by 25% by moving latency-sensitive flows to non-blocking services using Java 17, Spring WebFlux, Reactor, Kafka, gRPC, GraphQL, fixing the throughput bottleneck instead of scaling hardware.
• Cut production incidents by 30%+ through Resilience4j circuit breakers, rate limiting, OAuth2/JWT and distributed tracing using Grafana, Splunk; led design reviews and mentored engineers.

Technology Analyst — UPS: Global Logistics Platform at Tata Consultancy Services (2022-11 – 2023-12)

• Engineered Java microservices processing 30M+ transactions/hour for global logistics, holding 99.99% availability through peak spikes with Kubernetes autoscaling.
• Led AWS modernization (Lambda, Step Functions, S3, CloudFormation); improved API latency by 20% and sped up deployments by 40% with CI/CD and automated testing.

Senior Software Engineer — Citibank: Technology Risk Scorecard Platform at L&T Infotech (2020-05 – 2022-11)

• Built a Technology Risk Scorecard platform aggregating multi-system data to rate inherent, control and residual risk across Citi’s application inventory.
• Increased data-processing throughput by 150% by redesigning Spring Batch pipelines for parallel, asynchronous execution.

Senior Software Engineer — Build AADHAR/India Post: RICT Platform at Infosys (2018-05 – 2020-05)

• Delivered core features of the RICT platform, deployed across 150,000+ post offices serving 35M+ policies and 450K+ agents, using Spring, Hibernate and Strategy/Factory/Adapter designs.
• Designed and implemented reusable application components across Controller, Service, DAO, and UI layers, using Spring and Hibernate to support high-volume workflows serving 35M+ policies

B.E. in Computer Engineering – Vinayaka Mission University, Chennai (2011 – 2015)