Experience &
background.

Nov 2023 – Present

Experian

Software Engineer — Marketing Solutions

I own the data and AI infrastructure — cloud migration, pipeline modernization, observability layer, and a RAG system I designed end to end.

• <2% hallucination rate Built production RAG assistant with hybrid retrieval (pgvector + BM25), telemetry-aware prompts, and retrieval-strict guardrails — turned 30+ min manual investigations into 5-second lookups at <$0.01/query.
• 30% cost reduction Led AWS migration of Experian ConsumerView (300M+ records, 100TB+). Engineered multi-AZ EMR with S3 tiered storage via Terraform; maintained p95 latency <800ms for 1,500+ advertisers.
• 40% batch latency cut Modernized 5TB+/month Hadoop workloads to Spark on EMR with optimized partitioning and broadcast joins, also cutting compute cost 30%.
• 99.5% DAG SLA Built 30+ idempotent Airflow DAGs replacing brittle cron ingestion — recovered 60% of engineering hours and hit 99.5% on-time SLAs across data pipelines serving 300M+ records.
• 3× release velocity Led Jenkins → GitHub Actions migration with reusable composite workflows and OIDC secretless auth across 20+ repos; delivered 50% faster builds.
• 50% MTTR reduction Engineered telemetry enrichment layer mapping Splunk/Dynatrace signals to internal service SLAs with automated severity scoring, eliminating 60% false-positive alerts.

Jul 2023 – Dec 2023

New York University

Associate Research Scientist

Applied data engineering and analysis in an academic setting post-graduation, bridging systems theory with practical implementation. Partnered with postdocs and PIs on data-driven social science research projects.

Jan 2023 – May 2023

Nokia

TechComm Tools Developer Co-op

Nokia Cloud and Networking Services. Built and automated cloud-native developer tooling for internal documentation and search infrastructure.

• 30% latency reduction Designed Kubernetes K3s cluster for help-center Node.js apps with Apache Solr for document search, cutting API latency by 30%.
• 40% faster deploys Automated continuous deployment on Amazon EKS using Helm charts, reducing service deployment time by 40%.

Jun 2022 – Aug 2022

Sleep Number Corporation

Cloud Engineering Intern

Built backend microservices and cloud infrastructure for Sleep Number's smart bed platform serving 14M users.

• 100M+ daily events Built a scalable microservice using Spring Boot, Hibernate, and Kafka to process 100M+ daily IoT events from smart beds, integrated with an analytics dashboard for 14M users.
• 20% DAU increase REST API integrations on the analytics dashboard drove a 20% increase in daily active users on the app.
• 30% infra cost reduction Enabled service deployment via AWS ECS Fargate, ALB, Docker, and DynamoDB, reducing infrastructure costs by 30%.

Jul 2018 – Aug 2021

Barclays

Software Engineer → Senior Software Engineer (BA4)

Core engineer then tech lead on the Cards and Payments platform serving 5M+ Barclays credit card users. Promoted to BA4 for architectural leadership on high-stakes rewards and payments systems.

• 10M+ txns/day Re-architected rewards engine from nightly batch to Kafka streaming with exactly-once semantics — eliminated a 2-hour daily batch bottleneck.
• Sub-second response Delivered sub-second rewards tracking for 50M+ users via event-sourced CQRS with Redis read replicas, reducing support calls 25%.
• Zero-downtime at 1K RPS Led migration of 15+ microservices from Elastic VMs to OpenShift — blue-green pipelines, auto-scaling Kubernetes pods, scaling to 1,000 req/sec with zero-downtime releases.
• 6 weeks time-to-market Redesigned Marketing Offers Management System using ReactJS, Spring Batch, and Hadoop Jobs — automated co-branded campaign creation and approval, cutting time-to-market by 6 weeks.
• 25% fewer complaints Built Spring Batch reconciliation engine with Saga workflows and Quartz SLA monitoring, eliminating delinquency risk and reducing settlement complaints 25%.