GauriMarkandey

Frontend-focused Software Engineer with 2+ years of experience building polished user interfaces, scalable full-stack applications, and reliable cloud-native systems.

Get in Touch LinkedIn ↗GitHub ↗

React

Spring Boot

TypeScript

AWS

Work Experience

AngularTypeScriptRxJSAWS S3JestGitHub Actions

Developed and enhanced Angular + TypeScript frontend on the NIH-funded Human Reference Atlas platform, integrating AWS S3 and building shared design system components and reusable libraries — ensuring WCAG accessibility and scalability, reducing frontend development overhead ~20%.
Designed and implemented new user-facing interfaces in Angular and TypeScript, optimizing RxJS-driven data flows across critical user journeys and reducing redundant API requests ~20%.
Owned production stability through monitoring, debugging, and resolving live issues — ensuring reliable releases with zero critical user-facing disruptions.
Maintained CI/CD pipelines via GitHub Actions and leveraged AI-assisted developer tools to accelerate iteration and delivery, reducing build and release friction ~25%.

ReactC#.NETNode.jsDockerAzureStorybookSelenium

Extended and migrated healthcare frontend modules from Angular to React, building reusable component libraries in Storybook aligned with Figma designs, cutting frontend development effort ~35%.
Developed and maintained full-stack features using Node.js and C#/.NET REST APIs with SQL Server, enforcing input validation, secure auth flows, and API access controls in a regulated healthcare environment.
Maintained ~80%+ code coverage across unit, integration, and E2E layers using Jest, React Testing Library, Selenium, NUnit, and xUnit.
Built CI/CD pipelines with Azure DevOps and Docker, automating deployments and reducing production incidents ~35% within an agile delivery workflow.

Projects

// 01

DocuQuery

↗

Think ChatGPT for your documents, but built for trust: document-scoped retrieval, source-cited answers, evidence tracing, and built-in observability so you can see how the system performs..

P95

sub-second latency

orchestrated services

Problem

Developers waste time digging through internal docs. Most AI tools send data to third-party servers — not viable for private or sensitive documentation.

Approach

Self-hosted RAG pipeline: documents are chunked with overlapping windows, embedded via OpenAI text-embedding-3-small, and stored in ChromaDB. Queries run semantic search over stored chunks and pass the top results to GPT-4o-mini with strict prompt constraints to prevent hallucination and enforce source citations.

Impact

P95 query latency under 1 second. Full observability with custom Micrometer metrics — P50/P95/P99 latency, error rates, and throughput tracked via Prometheus and Grafana dashboards.

Stack

Spring BootOpenAIChromaDBPostgreSQLDockerPrometheusGrafana

Dec 2025 - Jan 2026

// 02

Degree Flowchart

↗

A cloud-native, distributed degree planner that helps students turn messy course requirements into a clear path to graduation, built with Angular and Spring Boot and load-tested with k6 for real-world scale.

245ms

median response (k6)

100k+

requests load tested

Problem

Students had no structured system to visualize and plan their degree path — relying on spreadsheets, manual tracking, and advisor emails to figure out what to take next.

Approach

Built the Angular + TypeScript frontend with a dynamic course planning UI and OAuth-based authentication via Keycloak, connecting distributed Spring Boot microservices with independent PostgreSQL databases through an API gateway. Services containerized with Docker and configured with Kubernetes manifests for AWS deployment.

Impact

k6 load tests sustained 1,000 concurrent users and 100,000+ requests at 245ms median response time with 95%+ success rate.

Stack

AngularTypeScriptSpring BootPostgreSQLDockerKubernetesKeycloakk6Prometheus

Sept 2025 - Dec 2025

// 03

IUCAT Library System

↗

A cloud-deployed library platform built with JavaScript and Spring Boot that makes finding, borrowing, and managing books fast and seamless, with automated workflows, production monitoring, and k6-tested performance at 75 ms average latency.

75ms

avg response (k6)

100%

success rate under load

Problem

Most student library system projects stop at a basic CRUD API. This one needed to actually work - with real borrowing workflows, queue management, and a deployable setup anyone could use.

Approach

Spring Boot backend with role-based access control, session-based authentication, and transactional borrowing workflows including 14-day rentals, 2x extensions, and an auto-managed holds queue. Deployed to AWS ECS Fargate behind an ALB and Render via a single GitHub Actions pipeline. Structured JSON logging with MDC correlation IDs and Prometheus metrics for observability.

Impact

Live on two platforms. k6 load tests: 100% success rate, 75ms avg and 109ms P95 response across 660 requests. CI/CD pipeline fully automated - push to main deploys everywhere.

Stack

Spring BootAWS ECS FargateDockerGitHub ActionsPrometheus

Aug 2025 - Oct 2025

More on GitHub

hubmapconsortium/hra-ui

hra-ui

A large-scale Angular + TypeScript UI platform powering the NIH-funded Human Reference Atlas, helping researchers explore and interact with complex biomedical data.

AngularTypeScriptRxJS

gauri2029/F1-Data-Analysis-Dashboard

F1-Data-Analysis-Dashboard

A Formula 1 analytics dashboard built with Python, Flask, and Plotly that turns race telemetry into interactive insights on pace, strategy, qualifying, and performance.

PythonFlaskPlotly

gauri2029/gauri2029.github.io

gauri2029.github.io

A modern Next.js + React portfolio built to showcase my work with polished interactions, responsive design, and a playful Pro/Chaos experience.

Next.jsReactTailwind CSS