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Lead Frontend Engineer with 7+ years in React.js & Cloud DevOps
Results-driven Frontend Developer with 7+ years of experience in designing, developing, and deploying scalable web applications using React.js and NextJS and mordern JavaScript frameworks. Strong expertise in HTML, CSS, JavaScript, TypeScript, and frontend ecosystems including Redux (Saga/Thunk), React Query, GraphQL, MUI, and Bootstrap. Hands-on experience in Azure DevOps, CI/CD pipelines, Git-based version control, and agile development practices. Proven ability to collaborate with cross-functional teams to deliver high-quality, performant, and scalable applications aligned with business goals. Skilled in debugging, performance optimization, and writing unit-tested, maintainable code. Solid understanding of SDLC, Agile/Scrum methodologies, and database systems like MySQL, MongoDB, PostgreSQL.
Mother Theresa Institute of Engineering and Technology
Bachelor of Engineering · Mechanical Engineering
January 1, 2014 – January 1, 2018
Infosys Pvt Ltd
Technology Lead
April 1, 2024 – Present
Bengaluru, Karnataka, India
Aspire System
Senior Engineer
June 1, 2023 – March 1, 2024
Bengaluru, Karnataka, India
Josh Software
Senior Sofiware Engineer
May 1, 2022 – March 1, 2023
Bengaluru, Karnataka, India
Altisource
Sofiware Engineer
February 1, 2020 – May 1, 2022
Bengaluru, Karnataka, India
Emudhra Pvt Ltd
Sofiware Engineer
September 1, 2018 – February 1, 2020
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate has worked across multiple companies, demonstrating adaptability to different work environments. The progression from Software Engineer to Technology Lead indicates a growth mindset and leadership potential. The breadth of skills aligns well with a senior frontend role, suggesting a good cultural fit for a dynamic development team.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams, participation in Agile/Scrum ceremonies, and mentoring junior developers, indicating good team collaboration and operational fit. The descriptions also show a results-driven approach with quantifiable achievements (e.g., improving application performance by 30%, reducing deployment time by 40%).