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Rutvik Talaviya

London, UK
Looking for Information Technology Jobs
Job Type:
Full Time
Profile
4+ years of professional software developer experience in the IT industry.
Experience in object-oriented programming, data structure, algorithm design concepts in Java, JavaScript and Python.
Experience in automated testing using JIRA, Junit across various projects.
Worked in environment following software development practices such as TDD, SDLC, Agile/Scrum development, SOLID principles, and complexity analysis.
Efficient collaboration and management across various team members working in different time zones. Collaboration in multiple projects and handling the workload efficiently
Skills
- • Programming Languages: Java, JavaScript, SQL, Gremlin, C#, C++, C
• Cloud: Microsoft Azure, Google Cloud, Heroku, AWS (EC2, S3, SQS, DynamoDB, RDS, Beanstalk,
ElastiCache, Lambda)
• Delivery Models: CI/CD, Docker, Apache Spark, Hadoop
• Mark-Up Languages: HTML, CSS, JQuery
• Java Frameworks: Spring microservices, Spring Boot (JPA, Hibernate), Spring MVC
• Web Technologies: React JS, Angular JS, Node JS, Express JS, material UI, WordPress, Bootstrap
• Databases: MySQL, SQL Server, Oracle, Firebase, NoSQL, Mongo DB, COSMOS DB, Neo4j, Cognos SQL
(IBM Cognos)
• Software Methodologies: CI/CD, TDD, Agile, SDLC, SOLID principles, Waterfall model, Iterative model
• Testing/Version Control: Junit, Jenkins, JIRA, Git, GitHub, GitLab
• Operating Systems: Virtual Machines, Windows, macOS, Linux
• Software Application/ Tools: VS Code, Postman, IntelliJ Idea, Oracle Workbench, Eclipse, NetBeans, MS
Office Suite, Gradle, Maven, Photoshop
Education Qualification
Experience
Web Designer PlanetX Technologies April 2014 – Aug 2019
• Improved data latency by adding multi-threaded functionality using cache control.
• Worked as Directly Responsible Individual (DRI) for monitoring and hot fixing high-priority bugs within
critical times.
• Test-Driven Development and Build Verification Testing (BVT) responsibilities.
Web Designer OCTFIS Techno LLP Sep 2019 – Jan 2021
•Developed Recommendation Engine for effectively managing to display products dynamically based on
each user’s previously searched data.
• Optimized the Recommendation Engine so that it would take minimal time to fetch out the required
products across million database using Gremlin (a graph query language) and by using K-nearest
algorithm.
• The engine developed had a 0.3 MS latency and high throughput across any database to generate the
required list of products.
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