Help & Supportcareers@gravityer.com
Senior Frontend Engineer with 7+ years in React.js & AI-assisted development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Frontend Engineer with 6+ years of experience building scalable, high-performance web applications using React.js, TypeScript, and modern JavaScript. Proven track record of owning end-to-end feature delivery in enterprise-grade healthcare and insurance platforms, reducing page load times by up to 33% and achieving 10x data loading improvements. Passionate about product-centric development, clean code architecture, micro-frontend design, and AI-assisted development and prompt engineering. Strong advocate of Agile methodology and cross-functional collaboration.
Biju Patnaik University of Technology
Master of Computer Applications (MCA)
N/A – June 30, 2019
Accenture
Senior Software Engineer
January 1, 2025 – Present
Bengaluru, Karnataka, India
Capgemini
Software Engineer
December 1, 2022 – January 1, 2025
Bengaluru, Karnataka, India
TCS
Software Engineer
August 1, 2021 – November 1, 2022
Bengaluru, Karnataka, India
Oditek Solutions
Software Engineer
April 1, 2019 – August 1, 2021
Bhubaneshwar, Odisha, India
Figma-to-Jutro Component Generator
June 4, 2026 – Present
Leveraged AI-assisted development using Microsoft 365 Copilot and Claude to design and orchestrate an intelligent agent that reads Figma designs and maps them to Guidewire Jutro Storybook components. Applied deep Jutro component library and React.js domain knowledge to craft targeted prompts that guide AI in generating accurate, production-aligned Jutro component code from visual mockups. Reduced the design-to-development handoff cycle significantly by enabling rapid prototyping - converting Figma mockups into deployable Jutro code in minutes instead of hours. Demonstrated ability to identify workflow bottlenecks and leverage AI tools to build practical solutions that accelerate team productivity.
ESLint Reader AI Agent
June 4, 2026 – Present
Built an AI-assisted agent using Microsoft 365 Copilot and Claude that reads ESLint configurations and code quality reports, providing intelligent suggestions for code standards compliance. Designed effective prompts leveraging frontend engineering domain expertise to generate context-aware fix recommendations and refactoring suggestions for ESLint rule violations. Streamlined code review workflows by enabling teams to receive instant, AI-driven ESLint analysis with actionable insights, reducing manual review overhead.
Cultural Fit Analysis
The candidate's project diversity, including AI-assisted development tools and enterprise-level applications in healthcare and insurance, shows a broad interest and ability to adapt to different problem domains. Their experience across multiple companies (Accenture, Capgemini, TCS, Oditek Solutions) and a consistent progression in roles indicates a commitment to growth and learning. The emphasis on reusable components, performance optimization, and clean code aligns with best practices often valued in high-performing engineering cultures. The candidate's proactive approach to leveraging AI for productivity suggests an innovative and forward-thinking mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working with cross-functional teams (product, design, backend). Their experience in owning end-to-end feature delivery and identifying workflow bottlenecks suggests a proactive and problem-solving mindset. The focus on AI-assisted development indicates an adaptability to new tools and a drive for efficiency, aligning well with modern development practices. The candidate's professional summary and project descriptions are clear and well-structured, indicating good communication skills.