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Biography

Hi, I'm Nivash, a Software Engineer with 4+ years of experience building web and mobile applications across education technology and financial services.

At Mind Stretcher, I build and operate Dash, a Django platform for student enrolments, classes, payments, teacher workflows, reporting, and mobile APIs. My work includes AI-assisted search and registration, external service integrations, and production performance and reliability.

Previously, I developed financial applications at LSEG using Angular and .NET. I enjoy taking features from design and implementation through testing, deployment, and production support.

Nivash
+

years of experience

featured projects

industries

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Skills

Languages

PythonJavaScriptTypeScriptC#JavaSQL

Backend & Data

DjangoDjango REST FrameworkNestJSPostgreSQL.NETWCFRedisCeleryOpenSearch

Frontend

HTMXReactReact NativeAngularRxJSNgRx

Delivery

GitJenkins

Cloud

DigitalOceanAWS

Observability & Performance

DatadogPostHogGrafanaLocust

Experience

  • Software Engineer @Mind Stretcher

    June 2025 - Present | Singapore
    • Build and operate Dash, a Django platform for student enrolments, classes, payments, teacher workflows, reporting, and mobile APIs, delivering Django/HTMX workflows with server-side permissions and business rules.
    • Built an AI-powered registration assistant using Django, tool calling, and Server-Sent Events, with signed previews, explicit parent confirmation, and transactional validation for sensitive actions.
    • Built Dash Smart Search and a read-only Model Context Protocol analytics service, giving approved users permission-aware access to live class search, reports, and operational metrics.
    • Improved PostgreSQL reporting and Django API performance by narrowing scanned data, simplifying ORM queries, and adding targeted indexes, reducing a full academic-year metrics refresh from roughly 50 minutes to 30–60 seconds in warm runs.
    • Integrated Stripe, Twilio OTP, TalentLMS, Zoom, and Respond.io, including conflict-free meeting allocation, stable teacher host links, incremental synchronization, rate-limit handling, and duplicate-contact safeguards.
    • Made Stripe checkout, webhooks, and Celery jobs reliable under retries through payment validation, record locking, idempotent processing, and controlled retry handling.
    • Diagnosed timeouts in a staged 100,000-user load test and restored reliable logins by addressing worker bottlenecks, delayed replica reads, and PostgreSQL connection-pooling behavior.
  • Software Engineer Intern @Mind Stretcher

    May 2024 - September 2024 | Singapore
    • Built React Native/Expo screens and NestJS APIs for authenticated mobile workflows, using Prisma and PostgreSQL.
    • Integrated Auth0, push notifications, and CSV imports; improved long mobile lists with FlatList.
  • Software Engineer @London Stock Exchange Group

    August 2020 - July 2023 | Bengaluru, India
    • Developed and maintained financial web applications for House Views, Market Insights, and Refinitiv Securitized Derivatives using Angular 12, RxJS, NgRx, .NET Core, WCF, and MySQL.
    • Built reusable Angular components and services, delivering pagination, Excel/CSV import and export, and JWT-based authentication while reducing repeated implementation work by 20%.
    • Implemented instrument search and filtering, configurable layouts, and comparison pages with Element Framework charts and grids, helping users analyze and export financial instrument data.
    • Led deployments of multiple product releases to LSEG Workspace and delivered enhancements, diagnostic fixes, and patches for production applications.
    • Increased Jasmine test coverage by 50%, collaborated with QA to resolve defects, and mentored trainee developers through code reviews and technical guidance.

Education

  • National University of Singapore

    Master of Computing, Computer Science | August 2023 - January 2025 | CGPA: 4.21/5.00

    Coursework: Data Structures and Algorithms; Software Development Fundamentals (Python); Enterprise Systems Architecture Fundamentals; Artificial Intelligence; Data Analytics; Stream Processing; Big Data Systems for Data Science.

  • Vellore Institute of Technology

    BTech, Electronics and Communication Engineering | July 2016 - September 2020 | CGPA: 8.54/10.00

    Coursework: Object-Oriented Programming; Java Programming; Computer Communication; Computer Organization and Architecture; Statistics; Linear Algebra; Neural Networks.

Research Publication

Co-authored research on spectrally efficient frequency division multiplexing, published in the International Journal of Innovative Technology and Exploring Engineering.