Yoshita Sharma
About Candidate
Computer Scientist with experience in Software Engineering, Solutions development, Requirements Management and Agile Methodologies including designing, development, and pre-sales operations for products, and Professional Scum Master.
Location
Education
Master of Science, Computer Science
Bachelor of Technology, Computer Science
Work & Experience
Software Engineer
• Implemented product features, debugged and tested Android multimedia software for the SoC. Product is currently in the market. • Took ownership of two modules. Reported, prioritized and solved bugs to meet feature completion target using C and C++. • Refined, tracked and analyzed performance metrics in MS Excel, and modified software to improve module performance by 50%. • Coordinated with engineers and designers to provide product related information and specifications to the customer. • Initiated and created documentation to provide updated system related information to software engineers across organization.
Solutions Engineer
Designed and configured solutions while integrating storage product with media and entertainment workloads for software-based services. • Gathered customer requirements for scalable deployments and translated them to solutions rendering video streams up to 48GB/sec. • Analyzed performance metrics from the workloads using Linux performance tools, and prepared reports for pre-sales customer operations. • Debugged issues, prepared user stories and managed tasks on JIRA from the product backlog to mitigate technical risks. • Created documentation for solutions, deployment specifications and installation instructions for product software to share across teams.
Software Engineering Intern
• Prototyped and developed features for Larta web application using microservices, .NET (C#), NUnit, REST API, SQL and MongoDB. • Managed weekly storyboards to keep track of completed and ongoing features from the product backlog. • Extracted and filtered data from Crunchbase for over 100 startup companies using Apache Spark and Python, hence reducing man hours.