Hello! I'm Nikesh
I'm an Engineer. working on Software company and gaining industry knowledge and enhancing my skill set. I am also interested in Data Science Domain and currently in learning phase
Nikesh Maurya
Software Engineer
Phone:
+919326715739
Email:
Address:
Mulund (West) ,Mumbai - 400080
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Date of Birth:
Nov 18th, 1996
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EXPERIENCE
2023-present
QA engineer
Reliance Jio
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Developed scalable API automation framework using Rest Assured (Java), reducing test execution time by 60%.
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Led API and UI performance testing initiatives with JMeter, resulting in optimized response times and improved system scalability.
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Designed robust API load tests to validate system stability under high concurrency.
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Contributed to CI/CD integration and QA process improvements across Agile teams.
2022-2023
QA engineer
Raena Beauty
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Automated ERP integration tests for Oracle Netsuite APIs, enhancing test coverage.
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Conducted UI performance testing, reducing page and API response time.
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Executed large-scale performance testing using JMeter and LoadRunner.
2018-2022
SDET
Reliance Jio
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Led secure migration of 50,000+ Aadhaar records from SQL to MongoDB.
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Built comprehensive API regression test suites, improving defect detection.
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Conducted API load testing for high-traffic systems using JMeter.
EDUCATION
2014-2018
Bachelor's Degree
Bachelor of Engineering, Fr. C Rodrigues institute of technology
Pursued Bachelor of Engineering in Information Technology (IT) and Identify emerging techniques, skills, methods and theories to solve engineering problems
2012-2014
High School
High School, Vpm jr. college
Pursued HSC in Science and Secured 2nd Rank
I'M A Software tester
I am responsible for the quality of software development and deployment. Also involved in performing automated and manual tests to ensure the software created by developers is fit for purpose. Some of the duties include analysis of software, and systems and prevent software issues.
Flexible in work
Working on various projects and Building strength in logical Thinking, problem-solving, and Decision making. Participating in a hackathon project during the data science learning path.