Senior Full Stack Engineer

Complex systems.Clear experiences.

Across 7+ years, I have led React, TypeScript, and full stack delivery for enterprise SaaS, translating scheduling, permissions, analytics, and asynchronous workflows into production systems teams can operate and extend.

Explore selected work

React · TypeScript · Node.js · Python

Neha Mangla, Senior Full Stack Engineer
Neha ManglaSenior Full Stack Engineer

About · Engineering approach

I connect product decisions to production reality.

I have led frontend and full stack delivery for enterprise SaaS in workforce management, performance analytics, healthcare, and mortgage technology. My responsibility has spanned discovery, architecture, implementation, release, and production support.

My work usually begins where the requirements stop being tidy: conflicting service contracts, role specific behaviour, long running operations, or metrics that can be misread. I turn those constraints into explicit models, service boundaries, recovery behaviour, and tests that teams can maintain after release.

Alongside delivery, I review 4–5 pull requests each week, mentor engineers, and contribute to technical planning and candidate assessment.

7+ years
enterprise SaaS engineering
UI ↔ API
interfaces, services, and data contracts
Production
discovery through support

Selected systems · 01–03

Engineering stories, not feature lists.

01Workforce scheduling

Keeping workforce schedules correct across time zones

A workforce calendar unifying shifts, absences, overtime, permissions, and date semantics behind one application event model.

  • System architecture
  • Date semantics
  • Production reliability
View case study

02Asynchronous operations

Making data imports dependable

A four step import workflow preserving user context across validation, schema mapping, queued processing, partial success, and recovery.

  • Async systems
  • Lifecycle design
  • Failure recovery
View case study

03Performance analytics

Making performance after coaching explainable

A full stack analytics experience comparing KPI movement across configurable periods without overstating what the data could prove.

  • Analytical contracts
  • Aggregation
  • Interpretation
View case study