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Fullstack Engineer with 10+ years in Node.js, React.js & Microservices
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Full-Stack Developer with 11 years of experience building scalable, high-performance applications using Node.js, React.js, TypeScript, and microservices architecture. Strong expertise in system design, distributed systems, REST/GraphQL APIs, AWS, CI/CD, secure cloud-native platforms, and AI-powered enterprise solutions. Hands-on Lead Engineer with proven experience architecting scalable enterprise platforms, modernizing legacy systems, and delivering AI-powered cloud-native applications.
Rathinam Technical Campus
B.Tech · Information Technology
August 1, 2012 – June 30, 2015
GRG Polytechnic College
Diploma · IT
August 1, 2008 – June 30, 2011
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Tcare.ai
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Orange Online Media
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Cultural Fit Analysis
The candidate has worked in diverse environments, from established companies like Attract Software and PureSoftware to freelance roles and startups (Tcare.ai, TekEinstein). This breadth of experience suggests adaptability and a willingness to engage with different organizational cultures and project types. The consistent progression from Junior to Lead/Architect roles, coupled with a focus on modern technologies and AI, indicates a proactive and growth-oriented mindset, which aligns well with innovative and fast-paced environments. The emphasis on secure, scalable, and performant systems also points to a strong commitment to best practices.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Lead Full-Stack Developer/Architect) and responsibilities such as mentoring, conducting code reviews, and owning end-to-end system design. This indicates strong leadership, collaboration, and ownership skills. The focus on improving performance, reducing production issues, and achieving high test coverage suggests a detail-oriented and quality-focused approach. Experience with multi-tenant architecture and enterprise workflow engines points to an understanding of complex business requirements and operational scalability.