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Anisha Fernandes

Mid-Level Software Engineer specializing in FinTech and LLM-powered data products

California State University, Long BeachCalifornia State University, Long BeachLos Angeles, California3 Years ExperienceMid LevelWorks On-Site

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About

Full-stack engineer with payments/settlement domain experience who modernized a payment tracking workflow from REST to GraphQL and delivered a production payment status dashboard using Next.js App Router + TypeScript. Strong in performance and reliability work (Postgres indexing/Explain Analyze, Redis caching, Datadog observability) and in durable event-driven processing with Kafka (DLQs, idempotency, reconciliation, event replay).

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Key Strengths

  • Shipped end-to-end full-stack payments dashboard (Next.js App Router + TypeScript + GraphQL backend)
  • Designed nested routing with per-segment layouts/server components and server-side data fetching for consistency
  • Improved peak-window latency ~25–30% via SQL optimization, indexing, and Redis caching (validated in Datadog)
  • Strong Postgres data modeling for payments/event-sourcing style workflows (constraints, composite indexes, JSONB strategy)
  • Built durable event-driven payment workflows with Kafka (retries, DLQ, idempotency, reconciliation, event replay)
  • Production-quality engineering: test strategy, observability-first, and safe migrations using feature flags/phased rollout

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Experience

Data AnalystCalifornia State University, Long Beach · Sep 2024 – Presentpart-time
Software EngineerTietoevry Fintech · Aug 2021 – Aug 2024
Machine Learning Engineer InternMahindra Finance · Jun 2019 – Aug 2019internship

Education

California State University, Long Beachmaster, Computer Science (2026)
St. Francis Institute of Technologybachelor, Computer Engineering (2021)

Skills

PythonJavaTypeScriptHTMLCSSTailwind CSSJavaScriptSQLNoSQLSpring BootHibernateNode.jsReactAngularGraphQL

Languages

English

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Connect with Anisha

Anisha already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Anisha FernandesMid-Level Software Engineer specializing in FinTech and LLM-powered data products