3+
Full Stack Engineer · Mumbai, India · Open to remote

Shivam
Parab.

I build scalable, high-performance web applications with .NET Core, React, and Azure. Specializing in architecture modernization, cloud deployments, and engineering solutions that ship fast and hold up at scale.

View my work → Get in touch
3+ years experience
40% avg perf gains
50% faster releases
.NET Core React TypeScript Azure Docker SQL Server Entity Framework TimescaleDB CI/CD PostgreSQL C# RESTful APIs Azure DevOps Performance Optimization .NET Core React TypeScript Azure Docker SQL Server Entity Framework TimescaleDB CI/CD PostgreSQL C# RESTful APIs Azure DevOps Performance Optimization
01

About

I'm a Full Stack Software Engineer with 3+ years of experience building and scaling production web applications. I work across the entire stack — from architecting .NET Core APIs to building performant React frontends — with a bias for clean, maintainable code that solves real problems.

At WonderBiz Technologies, I've led end-to-end initiatives: modernizing legacy desktop applications to cloud-ready architectures, containerizing enterprise deployments with Docker, and optimizing systems to handle thousands of daily active users without breaking a sweat.

I care about performance, reliability, and developer experience. Whether it's cutting query execution times, shipping CI/CD pipelines that give teams confidence to deploy, or designing cloud-agnostic solutions that don't lock clients in — I focus on building things that last.

Open to Full Stack .NET / React roles — Mumbai & Remote India
Current role
Software Engineer @ WonderBiz Technologies
Location
Mumbai, India · Available for remote
Education
B.E. Computer Engineering · Mumbai University · CGPA 8.71/10
Research
Published in IRJET — Biometric authentication using Convolutional Auto-encoders
02

Skills

backend
Server & APIs
.NET Core C# ASP.NET Core Web API Entity Framework RESTful APIs XUnit
frontend
UI & Client
React TypeScript JavaScript AG-Grid Jest HTML/CSS Responsive Design
data
Databases
SQL Server PostgreSQL TimescaleDB Query Optimization Schema Design Indexing
cloud & infra
DevOps
Azure Azure DevOps Docker Docker Compose CI/CD Pipelines Git
languages
Code
C# TypeScript JavaScript SQL Python HTML CSS
practices
Engineering
System Architecture Perf Optimization Agile / Scrum Code Review API Design Containerization
03

Experience

Sep 2022 — Present
WonderBiz Technologies
Mumbai, India
Software Engineer
  • Architected a modern React + TypeScript frontend overhaul, delivering a 30% performance improvement and significantly enhanced user experience.
  • Optimized .NET Core backend and SQL Server query strategies, cutting page load times by 40% and resolving critical production bottlenecks.
  • Designed a cloud-agnostic, containerized on-premise solution using Docker, React, .NET Core, and TimescaleDB for enterprise clients with strict deployment requirements.
  • Implemented CI/CD pipelines on Azure DevOps, reducing release cycle time by 50% and improving overall code reliability by 25%.
  • Built RESTful APIs with .NET Core Web API and Entity Framework serving thousands of daily active users.
  • Led mobile-responsive transformation initiative, expanding platform accessibility across all devices and improving mobile engagement by 60%.
.NET Core C# React TypeScript Azure Docker SQL Server TimescaleDB Entity Framework Azure DevOps
04

Projects

01 / 03
Motor Predict Solution

End-to-end containerized predictive analytics platform for enterprise motor management. Built for cloud-agnostic deployments with real-time time-series data processing.

Cloud-agnostic Docker deployment Real-time time-series analytics Optimized PostgreSQL query layer
React .NET Core TimescaleDB Docker Compose PostgreSQL
02 / 03
Enterprise Web App Modernization

Architectural migration of a legacy desktop-first application to a modern cloud-based full-stack platform. Led end-to-end across frontend, backend, and database layers.

60% improvement in mobile engagement 40% reduction in query execution time Legacy → cloud migration
.NET Core React Azure SQL Server Entity Framework
03 / 03
Palm Vein Biometric System

Biometric authentication system using deep learning on a Raspberry Pi. Research published in IRJET, demonstrating practical computer vision applied to hardware.

Published research — IRJET Convolutional Auto-encoder model Embedded hardware deployment
Computer Vision Deep Learning Python Raspberry Pi

Let's build
something great.

Open to Full Stack .NET/React roles in Mumbai and remote India. Let's talk.