About

Jignesh Patel is a highly experienced and pragmatic software engineer who has helped multiple companies to build and scale startups or companies and reach millions of users. With over 9 years of relevant experience, he is an avid, product-minded team player who is positive, flexible, and highly organized. Jignesh is following software engineering principles, design patterns, documentation, processes, industry best practices (SOLID & TDD), clean code, automation testing, Git, CI/CD, DevOps, etc. He is also mentoring and motivating the team to follow the same for scalability, reliability, and maintainability. Jignesh has experience in contributing to every aspect of product development from brainstorming, UI/UX, collaboration, design, building, and scaling services (monolithic & micro-services) and integrating on apps (web and mobile), automation testing (unit, integration, e2e), and deploying and maintaining on cloud platforms and app stores. He has experience in designing systems for rapid scaling and working in startups and fast-moving teams. He is very flexible with different technologies and methodologies and is able to learn and adapt to new environments very quickly. Jignesh's technology stack includes programming languages such as Java, Kotlin, JavaScript, TypeScript, Swift, Python, Dart, etc. He is also proficient in REST API, GraphQL, Amazon Web Services (AWS), Google Cloud Platform (GCP), Digital Ocean, Heroku, SQLite, MySQL, PostgreSQL, MongoDB, DynamoDB, Realm, Cloud Firestore, NodeJS, ExpressJS, Apollo Server, Prisma, Sequelize, TypeORM, PostgREST, PostGraphile, HTML/CSS, React, NextJS, Gatsby, Android, iOS, Flutter, React Native, Firebase, Parse, Hasura, Supabase, AppWrite, Junit, Expresso, Jest, Cypress, Appium, Selenium, XCTest, Git, CI/CD, Docker, Agile, Kanban, Scrum, etc. Currently, Jignesh is self-employed and working as a Senior Software Engineer. He has converted UI/UX design to fully functional working apps with complex features, beautiful animations, and interactions for multiple platforms by following platform's best practices and software engineering design patterns, principles, architectures, static analysis tools, automation testings (TDD), Git, CI/CD pipelines. He has designed template app architecture and other reusable modules to save early development efforts by 60-90%. He has designed data models, schema,