Developer Intern Engineer

Hiti Chouhan

Phone: 313-***-**** Email: ************@*****.*** LinkedIn : https://www.linkedin.com/in/hiti-chouhan/ EDUCATION

Master of Science, Computer Science & Engineering Aug’19 - May’21 Wayne State University, Detroit, Michigan (GPA: 3.75) Bachelor of Technology, Computer Science & Technology, Shivaji University, India Aug’14 - May’17 Diploma in Engineering, Information Technology, MSBTE, India Aug’11 - June’14 CORE COMPETENCIES

Languages: Java, JavaScript, Typescript, C#, HTML5, CSS3, jQuery, Bootstrap

Frameworks: React, Node.js, Angular.js, ASP.net Core, Spring Containers & Tools: Docker, Kubernetes, Rancher

Mobile Application: Android, Xamarin

Database: SQL, MySQL, PostgreSQL, MongoDb

Cloud Services: AWS-Elasticsearch, SQS, S3 Object Key Application Server: Tomcat, Google Firebase

Software Testing: XUnit, Jasmine, Karma, Selenium, Cypress Software Tools: MS Visual Studio, VS Code, Android Studio, Fiddler, Postman, CircleCI, AppHub, Dynatrace, Splunk, GitHub Certification: AWS Cloud Practitioner

PROFESSIONAL EXPERIENCE

Software Engineer Rocket Mortgage Jul’21 – Jan’23

● Developed Angular.js app for an internal post closing browser, created UI components & called api functional services.

● Built RESTful APIs for Closing & Title services in microservice architecture, managed & deployed services on AWS EKS.

● Enhanced software performance metrics & tracked downtime of services, achieving 40% fault tolerance by splunk logs. Software Engineer Intern Little Caesar’s Enterprise Mar’21 – Apr’22

● Developed dynamic menu manager app dashboard in React, Typescript, Theme UI, npx, yarn package frameworks.

● Built Restful API endpoints to extract response from object values, called functions & stored procedures used in Postgres.

● Improved request/response timeout cycle, leading to faster code execution with an increase of 50% project resolution time. Software Developer Intern FUGU Corporation, California Jul’20 – Dec’20

● Collaborated with agile team to develop server-side web apps built in tech stack of Javascript, jQuery, C#, Asp.Net Core.

● Implemented web forms to send requests to API, integrated log functions and improved data security by Azure key vaults.

● Developed & created responsive UI app, resulted to meet high quality requirements & increased business profit rate by 10%. Program Analyst Engineer Cognizant, India Sep’18 – Jul’19

● Conducted code reviews, analyzed software reports & examined ERP systems built on microservice architecture using API’s.

● Deployed code in CI/CD pipeline, established baseline control for unit test coverage of 95%, created test cases in XUnit.

● Applied TDD coding strategy for efficient calls, resulting in improvements of learning cycle & reduced rework by 40%. VOLUNTEER EXPERIENCE

Full Stack Software Engineer JJCSA Non-Profit Organisation Trust Sep’22

● Responsible for developing a web application to enroll global students, building a platform to network & connect.

● Code deployments on infrastructure using kubernetes containers that result in 10% efficiency of product maintainability.

● Technologies: React.js, Typescript, Node.js, Bearer Token authorization/authentication, AWS infrastructure PROJECTS AND PUBLICATION

Grocery Inventory System Application Apr’20

● Developed a sales inventory application where customers can add, remove, change, delete any product items from the cart.

● Optimized function processing time by 80%, evaluated the monthly sales by calculating the average of all the sold items.

● Refactored the code implementation by using iterations, resulting in code redundancy & faster process cycle execution.

● Technologies & Tools: NoSQL, MEAN Stack, Node.js, MongoDB, MapReduce, CRUD Operations Photo Gallery Web Application Mar’20

● Developed a project to extract images stored in S3 buckets using object keys and render the objects as images on a web page.

● Implemented previous, next, zoom in/out operations in the image gallery, on occurrence of every image click event.

● Developed an image gallery, to display large png/jpg format files, resulting in a 20% performance increase of API response.

● Technologies & Tools: ASP.Net Core, AWS S3, HTML/CSS, Razor pages Detecting Phishing Websites using Machine Learning Algorithms Sep’19

● Performed data preprocess, classified using supervised/unsupervised filters to determine the features of model types.

● Measured performance, accuracy rate of dataset, implemented algorithms like SVM, Naïve Bayes classifier, KNN.

● Achieved baseline accuracy of 90% for KNN and improved up to 93% by tuning the parameters in the Decision Tree. Publication: International Journal of Advance Research in Computer Science and Management Studies Apr’17

“Internet of Things (IOT) Based Digital Notice Board Using Raspberry Pi” Achievements: Panelist for Diversity & Inclusion STEM TMRN event at Rocket Mortgage 2022 CodePath Mentor Award Fall 2022 SWE Scholarship by Apple 2020 ACM-W Scholar 2020-21 Best Employee of month by Cognizant 2018

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