
Sameer Sinha
Angular Developer | 3.5 Years Experience | RxJS, NgRx, TypeScript
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About
Frontend Engineer with 3.5 years of experience building enterprise-scale applications using Angular, RxJS, NgRx, TypeScript, and JavaScript. Skilled in RESTful API integrations, performance optimization (lazy loading, state management). Proven record of reducing load times by 30%, scaling apps to 10k+ users, and improving usability scores by 20%. Experienced in UI development with Material UI and Bootstrap, delivering modern, accessible, and user-friendly interfaces.
Experience
Frontend Engineer at Genpact – GE Vernova (SmartShop) (2024-10 – Present)
- Supported SmartShop application's international plant go-lives at QHD (China), Belfort & Bourgogne (France), collaborating with cross-functional teams to achieve 100% deployment success while proactively resolving ad-hoc production issues to ensure immediate shipment and operational continuity.
- Executed Angular framework upgrade from v13+ to v17, improving compatibility, reducing page load times by 30%, and adopting modern best practices across the platform.
- Enhanced procurement workflows for GE Power's turbine parts supply chain using Angular, RxJS, and NgRx, streamlining processes and boosting efficiency by 25%.
- Collaborated with backend and UX/UI teams to implement Figma wireframes and optimize REST API interactions, improving UI responsiveness and reducing API latency by 20%.
- Maintained 80%+ code coverage with SonarQube and conducted peer code reviews, ensuring high-quality standards, cleaner commits, and long-term maintainability.
- Leveraged GitHub Copilot CLI during debugging and optimization, accelerating issue resolution and improving developer productivity by 20%.
Frontend Engineer at Genpact – TAS (AIOps) (2022-10 – 2024-10)
- Developed the GenAI Playground using Angular & Node.js, integrating OpenAI APIs for ChatGPT, video indexing, and image generation, achieving 1k + monthly users across teams.
- Built and scaled the Digital Assistant widget for all employees, driving 4k–5k monthly active users and improving AI tool accessibility by 40%.
- Implemented lazy loading across modules, reducing initial load time by ~30%, significantly improving responsiveness and user satisfaction.
- Partnered with product owners and business analysts to gather requirements and deliver UI enhancements, improving usability scores in internal feedback surveys by 20%.
Education
Bachelor of Engineering – JADAVPUR UNIVERSITY (2018 – 2022)

