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Senior Software Engineer with 8+ years in Node.js, React, and AWS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Software Engineer with 8.9 years of expertise in developing robust software solutions and driving critical projects from conception to production. Proven ability in building scalable REST APIs using Node.js, creating dynamic UIs with ReactJS, and implementing cloud-native architectures on AWS. Adept at database management with MySQL, MongoDB, and MS SQL Server, and skilled in optimizing system performance and asynchronous workflows.
SASTRA University
B.Tech · Information Technology
August 1, 2012 – June 30, 2016
OSYTE Technologies Pvt. Ltd
Software Engineer
June 1, 2021 – Present
Chennai, Tamil Nadu, India
Twixor
Software Engineer
June 1, 2018 – June 1, 2021
Chennai, Tamil Nadu, India
Tata Consultancy Services
Assistant System Engineer Trainee
July 1, 2016 – May 1, 2017
Chennai, Tamil Nadu, India
Spring and Hibernate for Beginners
Udemy
May 1, 2021 – Present
Git and Github Bootcamp
Udemy
April 1, 2021 – Present
Learning ReactJs
November 1, 2020 – Present
Algorithmic Toolbox
Coursera
October 1, 2019 – Present
EFSet
EFSet
September 1, 2019 – Present
Cultural Fit Analysis
The candidate has worked in diverse project environments (security, banking) and different company sizes (TCS, Twixor, OSYTE), indicating adaptability. The continuous learning through certifications (Algorithmic Toolbox, Spring & Hibernate, ReactJS) shows a proactive attitude towards skill development. The role as 'Senior AI Software Engineer' requires a strong foundation in software engineering, which the candidate possesses, but direct AI/ML experience is not evident, which might require a cultural shift towards AI-centric problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through independent project leadership and optimizing API performance. Collaboration with CTOs and delivering within deadlines indicate good operational fit. The ability to handle client-specific requirements and complex data transformations suggests attention to detail and adaptability.