SREENATH PABBATHI

513-***-**** adijft@r.postjobfree.com linkedin.com/in/sreenathpabbathi github.com/sai-sreenath EDUCATION

Master of Science in Computer Science University of Cincinnati, Ohio 3.75/4 Dec. 2020 Bachelor of Engineering in Computer Science CBIT, Hyderabad 3.79/4 May 2017 Courses: Advanced Algorithms, Cloud Computing, Distributed Systems, Machine learning, Database theory, Data structures SKILLS

• Languages: C#, Java, C++, PHP, JavaScript, Typescript, T-SQL, Python3, HTML

• Databases: SQL Server, MySQL, MongoDB, Oracle, Firebase, AWS Dynamo DB

• Frameworks & Libraries: .NET Core, .NET MVC Web API, Angular, ReactJS, NodeJS, AWS, Azure, Docker, Hadoop, Spark, SSIS, JIRA, Jenkins

• Certifications: Oracle Certified Java Professional, Big Data (Coursera), Machine Learning (Coursera), Docker

(LinkedIn Learning), ASP.NET MVC(Udemy), Building Microservices in Asp.Net Core with AWS(Udemy) WORK EXPERIENCE

Software Developer, BoxCrush (.NET Core, AWS Ec2, AWS S3, AWS Lambda) May. 2020 - Present

• Designed and implemented a .NET Core microservice based application that helps families living independently to check on their closed ones at specific intervals.

• Built .NET core web API endpoints with and without using AWS lambda and documented the pros and cons using both architectures on users, check-in details to decide which architecture is better to use and cost-efficient comparatively.

• Designed a microservice where if a user created a check-in on a family, all would be notified; Developed API endpoints on Users, Check-in details, Notifications and utilized several device permissions too.

• Developed API endpoints which can retrieve any product details file stored in AWS S3 and another endpoint that merges all the product detail files filtered by a tag from AWS S3, meeting the client expectations. Android Mobile Developer, University of Cincinnati (Java, Firebase) Jan. 2020 – Apr. 2020

• Developed an interactive Android based application that communicates with the lab-on-chip device using Bluetooth protocol and stores disease related information in Firebase Database. Software Engineer, Wells Fargo (.NET MVC, .NET WEB API, EF, AJAX, JQuery, ReactJS) Jul. 2017 – Jul. 2019

• Collaborated in the transformation of legacy .NET MVC based application which uses ASMX web services into RESTful .NET MVC Web API on mortgage application for defaulters and developed Disaster Workouts end-to-end.

• Developed a POC which is used for sending mails to customers about their modified loan plan using Microsoft SSIS which resulted in saving manual efforts of an underwriter, savings of around lakhs of hours daily to the company.

• Awarded “Wells Fargo Champion Award” for my performance in Q2 2018.

• Utilized TFS control for collaboration and worked in Agile environment for continuous integration and delivery. Software Developer Intern, Wells Fargo (Java, Spring boot MVC, ReactJS) Jan. 2017 – Mar. 2017

• Developed a web application using Spring boot MVC where users can search for any software present, making easy for employees to download; if freeware, and raise a JIRA request for licensed thereby reducing JIRA requests by 40%. ACADEMIC PROJECTS

Adroll Marketing Software: (Microservices, AWS Lambda, Dynamo DB, AWS Cognito, .NET Core API, Docker)

• Created microservice architecture where an authenticated user can create an advertisement for a product and any public user can view the several advertisements created by all users in the platform filtered by a tag.

• Used JWT authentication in application using AWS Cognito, and deployed microservice to AWS Ec2 instance using code deploy and implemented lambda functions for public users and built docker images. Distributed Processing project: (Java, pySpark, Hadoop Map-Reduce)

• Designed Map-reduce solutions for Berkley graph Dataset and generated graphs and performed complex operations such as finding min and highest connectivity with node count and adjacency list.

• Performed Data analysis, data cleaning on weather data and analyzed the trends in the data by computing the statistics and used PySpark on a cluster to perform the distributed analysis. Movie Rental Store (ReactJS, NodeJS, MongoDB)

• Built a Full stack-based movie rental application using various React components and used axios for making remote API calls to fetch results from MongoDB which were built using NodeJS.