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@tauheeddarekar
Java/Javascript-Centric Full-Stack Engineer with cloud-native expertise.
I am a dedicated Fullstack Developer with 1 year and 9 months of experience in building scalable applications using Java, Javascript, .NET, Spring Boot, NodeJS, and React. My journey in software engineering has been marked by a commitment to performance optimization and cloud-native development, particularly within Azure environments. I thrive in Agile settings, collaborating effectively with cross-functional teams to deliver secure, high-availability systems.
At Parkar Digital, I led the design and implementation of a Node.js microservices architecture, which significantly improved API response times by 40%. My focus on writing secure and maintainable code has resulted in a 25% increase in code coverage through rigorous unit testing. Additionally, my internship at Thinkseed Systems allowed me to develop robust Spring Boot applications, ensuring high standards of data security and system validation through extensive testing.
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Work history, roles, and key accomplishments
Parkar Digital
Feb 2024 - Present (1 year 9 months)
Led the design and implementation of a Node.js microservices architecture, improving API response time by 40% through load balancing of Azure. Collaborated with cross-functional teams to deploy cloud infrastructure using Azure Bicep (IaC), reducing deployment time by 30%.
Thinkseed Systems
Jun 2023 - Dec 2023 (6 months)
Built robust Spring Boot applications with encryption modules (AES-256) for vehicle data security, aligning with RESTful API standards. Authored 50+ unit test cases using JUnit to validate Controller functionalities and ensured 95%+ code coverage with JaCoCo.
Degrees, certifications, and relevant coursework
Masters of Technology, Computer Science and Engineering
Grade: 7.55 CGPA
Completed a Master of Technology degree in Computer Science and Engineering, achieving a CGPA of 7.55.
Bachelors of Engineering, Computer Science and Engineering
Grade: 8.52 CGPA
Completed a Bachelor of Engineering degree in Computer Science and Engineering, achieving a CGPA of 8.52.
Software and tools used professionally
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