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Software Engineer Life Insurance

Location:
Mountlake Terrace, WA
Posted:
July 06, 2023

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Resume:

SHREYA MISHRA

Mountlake Terrace, WA Linkedin GitHub Portfolio 425-***-**** /adx405@r.postjobfree.com

EDUCATION

Examination Year University CGPA

Full Stack Coding Boot Camp Sep 2022 -Dec 2022 University of Washington, US 95%

(2U As the parent company of edX)

Bachelor of Engineering Jul 2013 – May 2017 University of Mumbai, India 7.67 / 10

(Electronics & Telecommunication)

SKILLS

Programming Languages: Java, Kotlin, Python, SQL, XML, HTML5, JavaScript, CSS, jQuery, C++, C, COBOL, NoSQL

(MongoDB), GraphQL.

Other Technologies: Object-Oriented Programming (OOP), React.js, Node.js, Git, Agile methodology, MATLAB, Graph-Talk, Mainframe, Microservices, Third-party APIs, Bootstrap, AWS cloud services, Software architecture patterns, Terraform, Ansible, Google Cloud Platform

WORK EXPERIENCE

People Tech Group, Redmond, WA Software Engineer Intern (Java) May 2023-Present

● Worked as an intern on the Amazon Kendra project, gaining hands-on experience with Kotlin.

● Assisted in the development and implementation of key features for the Kendra project.

● Collaborated with a team of developers and learned best practices for software development in a professional setting.

● Leveraged expertise in Core Java, Multi-threading, Spring, and REST API development to design and implement critical functionalities for the project.

DXC Technology, Mumbai, India Software Engineer Dec 2021 – Mar 2022 Insurance Reporting System (Java, SQL, Graph Talk, Node.js, and React)

● Upgraded user insurance reporting system to improve computational efficiency. The project involved auditing the system, fixing batching algorithms, and setting up post-launch health tracking.

● It improved the median processing time from 30m to less than 5 mins for the average daily workload of ~20k user profiles.

Larsen & Toubro Infotech, Mumbai, India Software Engineer Feb 2018 – Dec 2021 Payment Automation System: SBI Life Insurance Client (Java, SQL, Graph Talk, JavaScript)

● Created automated payout module to replace legacy manual payout computation flows, requiring ~100 people to audit ~1M cases per week.

● The automated system reduced case processing times to less than 2 hours. This enabled the team to post daily updates for downstream systems. Also, the automation removed the inaccuracies due to manual errors. Config Driven Policy Updation System: SBI Life Insurance Client (Java, SQL, Graph Talk, JavaScript)

● Migrated the legacy monolithic core TDS/Penal interest modules, unclaimed and policy revival modules, to an updated config-driven system.

● This enabled the team to meet response deadlines triggered by immediate changes in Central Bank policies during the coronavirus pandemic.

● This directly impacted over 100M SBI Life Insurance customers and helped in ensuring the quick reach of the relief programs initiated by the Government of India.

Policy Customization System: SBI Life Insurance Client (Java, SQL, Graph Talk)

● Created a new product to enable customers to fine-tune customizations against choosing from limited pre-customized options for their life insurance needs.

● Working as a backend tech lead, collaborated with client representatives and other XFNs to design a complex system supporting over 100 user-specific customizations. ACADEMIC PROJECTS AND ACHIEVEMENTS

Star Kids App (NodeJS, jQuery, MVC, Sequelize) [website, github]

● Developed and architected task management app for kids using ExpressJS RESTful API with security, logging, CORS, and authentication. Implemented 10+ MVC endpoints. Designed an efficient MySQL database with a connection pool for caching, data consistency, and one-to-many user history in groups. Hiking-App: (NodeJS, jQuery, JavaScript, 3P APIs) [website, github]

● Developed a comprehensive guide for National Parks' visitors, utilizing multiple public APIs including the Google Maps Places API, National Park Service API, OpenWeather Geo, and Data API K-pop-Fanbase Website: (React JS, jQuery, JavaScript, Sequelize) [website, github] Eye-Controlled Wheelchair using Machine Learning :

● Proof-of-concept using Viola-Jones Algorithm achieving 70% accuracy for simple activities and 25% accuracy for complex signs

Certifications : Udemy - Python Developer 2022; IKM - Oracle 11G PL/SQL L1, IKM - Mainframe L1

(Authorized to work for any US employer)



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