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Senior Engineering Lead with 8+ years in ReactJS, JavaScript & AI Tools
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
An overall experience of 8 years in the IT industry and expertise in developing applications using ReactJS, JavaScript(ES6), HTML, and CSS. Expertise in using AI tools GitHub Copilot, Cursor, Claude CLI, GenAI. Experienced team leader with a proven track record of driving success through effective leadership and collaboration. Hands-on experience creating APIs using ExpressJS, NodeJS, and MongoDB database.
Gujarat Technological University
Bachelor of Engineering · Computer Science
N/A – June 30, 2017
Persistent Systems Ltd.
Senior Engineering Lead
November 1, 2023 – Present
Bengaluru, Karnataka, India
Intugine Technologies
SDE III
November 1, 2021 – November 1, 2023
Bengaluru, Karnataka, India
Brillio
Senior Software Engineer
September 1, 2019 – October 1, 2021
Bengaluru, Karnataka, India
Nineleaps
Software Engineer
September 1, 2017 – August 1, 2019
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate has worked across diverse projects (Account and Settings Module, Cisco IoT-OD, IntuParcel V2, AWS Falcon, Tesco UAM) and companies (Persistent Systems, Intugine, Brillio, Nineleaps), showcasing adaptability and a broad range of experiences. Their roles have progressively increased in responsibility, aligning well with a Senior Engineering Lead position. The emphasis on team leadership, mentorship, and cross-functional collaboration suggests a strong cultural fit for a collaborative and growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and collaboration skills through their experience in leading teams, conducting code reviews, and cross-functional collaboration. Their ability to drive feature and design discussions, mentor team members, and improve development processes (e.g., reducing onboarding time) indicates a proactive and impactful operational fit. The focus on unit and automation testing also suggests a commitment to quality and reliability.