Nisha Ahamed

Full-stack engineer focused on product systems, transactional flows, and modern web architecture.

I build frontend-first platforms on top of rules-driven backends, working across React, APIs, and data layers in fintech-adjacent and health-tech domains.

What I'm building now

Web App
Mishty
Production-style full-stack system with real-time features and robust error handling. Topic? Top secret πŸ˜‰ Check back for updates!
Fintech
Tally
Mini sandbox for transactional product surfaces β€” payments-style timeline and reconciliation explorer with simulated USD data.
Mobile App
Benefits Wallet
A mobile-first wallet experience modeling claims and cost-share as a transaction timeline. Internally uses ledger-style adjustments and reconciliation concepts (simulated data). Planned screens: Timeline, Claim detail, Dispute flow, Reconciliation summary. Tech: Expo + React Native + TypeScript.
Concept + prototype in progress.

Highlights

Backend

Payment Processing

Built and maintained payment gateway integrations handling millions in transaction volume. Implemented idempotency, retry logic, and webhook verification.

Systems

Transaction Reconciliation

Designed automated reconciliation system matching bank statements to ledger entries. Reduced manual review time by 80% through fuzzy matching algorithms.

Frontend

Frontend Architecture

Led migration to React with TypeScript, improving type safety and developer velocity. Established component library and design system patterns.

Case Study

Payment Gateway Reliability

Redesigned payment processing pipeline to handle peak traffic and reduce failed transactions. Implemented circuit breakers, exponential backoff, and comprehensive monitoring. System now processes 10x volume with 99.9% uptime during critical payment windows.

Challenge
High failure rate during peak hours
Solution
Resilient architecture with graceful degradation
Impact
99.9% uptime, 10x capacity

Fintech Focus Areas

Payments & Transaction Flows

Designing reliable payment pipelines with proper error handling, idempotency, and audit trails. Experience with Stripe, Plaid, and custom payment processors.

Reconciliation & Ledger Systems

Building automated reconciliation engines that match transactions across multiple sources. Implementing double-entry accounting principles in distributed systems.

Risk & Verification

Developing fraud detection systems with rule engines and ML models. Implementing KYC/AML workflows and transaction monitoring.

Reliability & Observability

Ensuring financial systems meet strict uptime requirements. Implementing comprehensive logging, monitoring, and alerting for critical paths.

Interactive Tools

Tally

Tally is a transactional sandbox featuring a payments-style timeline and a reconciliation explorer that models ledger adjustments and mismatches using simulated USD data.

Explore Tally β†’
Systems Project

DockIQ

DockIQ is a real-time container monitoring platform that surfaces live Docker metrics through WebSockets, Prometheus, and a React dashboard β€” designed for observability, operational clarity, and performance insight.

Real-time Metrics
CPU, memory, network I/O, PIDs
Live Container Status
WebSocket-driven updates
Monitoring Stack
Dockerode, Prometheus, Grafana
Tech Stack
ReactTypeScriptMaterial UIWebSocketsNode.jsExpressDockerodePrometheusGrafanaDocker
View DockIQ β†’

Stack + Experience

Stack

Languages
JavaScriptTypeScriptPythonSQLC#
Frameworks & Libraries
ReactNext.jsReduxExpressReact NativeTailwind CSSPrisma
Data & Infra
PostgreSQLSQLDockerTerraformWebSockets
Testing
JestReact Testing LibraryCypressEnzyme

Experience

Full-stack engineer leaning frontend, focused on building complex product surfaces on top of rules-driven, transactional backends. My work spans React architecture, API orchestration, and Python/SQL service logic supporting eligibility, claims, and cost-share flows that mirror financial authorization and reconciliation patterns.

Get in touch

Whether it's to discuss projects, product systems, or whether or not cortados are here to stayβ€” reach out via email, LinkedIn, or GitHub.

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