Software Engineer Sales Rep

Mayuri Birari

**************@*****.*** LinkedIn Medium +1-812-***-**** Indiana, US

Professional Experience

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Software Development Engineer

LTIMindtree Mar 2021 - Jul 2022

Designed and engineered LLD a microservice using Java, Spring Boot for existing investment products across distributed systems reducing payment failure rates reported to the sales rep from 15% to less than 1%.

Seamlessly migrated a subdomain of the application into REST-APIs, including creation of swagger docs for service reviews resulting in an 18% reduction in jar configuration issues in downstream applications.

Resolved bug preventing system from locating marketer details associated with contracts, eliminating weekly on-call incidents from an average of 10/week, saving 20 hours of troubleshooting time weekly.

Engineered and integrated RESTful APIs within the microservice to retrieve crucial financial data from external sources improving data accessibility, reducing manual data handling efforts by 25%.

Containerized the microservice using Docker, integrated into Jenkins for a CI/CD process increasing 25% increase in deployment frequency. Implemented JUnit tests for features reducing 30% post-deployment bugs

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Software Engineer

HCL Technologies Aug 2020 - Mar 2021

Spearheaded the development of asset allocation optimization microservice using Java and Spring Boot, optimizing investment mixes for a target date fund, resulting in a 12% uplift in portfolio performance.

Integrated AWS RDS ensuring scalable, efficient storage, serving 10000+ retirement accounts.

Collaborated on a React-based dashboard, boosting investor engagement by 30% with clear asset allocation and fund performance insights. Assisted in Angular to React feature migration, cutting load time by 14%.

Scripted Jenkins CI/CD build pipeline using Groovy, to automate the versioning of master builds removing snapshot from all pom files, reducing manual build time from 6 hours to 1 hour.

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Software Engineer Intern

Hvantage Technologies Aug 2019 - Jul 2020

Designed and optimized an internal dependency to mitigate Injection Vulnerabilities in the patient record, resulting in 100% reduction in record tampering issues; now utilized across the business unit.

Revamped checkout process using NodeJS for backend, ReactJS for frontend, integrating automated coupons, resulting in a 15% increase in transactions.

Education

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Indiana University Bloomington - MS in Computer Science Aug 2020 - May 2024 Elements of AI, Cloud Computing, Data Mining, Social Media Mining, Network Security

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Medicaps University - BTech in Computer Science Aug 2016 - May 2020 Data Structures and Algorithms, Operating Systems, Big Data Processing, NLP Personal Projects

• Image, Document Entity Extraction OpenCV, PyTesseract, OOPS, Tkinter, GCP, Google Vision API

Reduced document processing times by 7x and ensured proper sorting, filing, and indexing in the database. Improved 28% OCR accuracy by developing an image pre-processor engine, using Google Vision API to enhance the documents.

• NBA Player Analysis & Data-driven Strategy Python, Apache Spark, Scala, NumPy, Matplotlib, SQL

Developed a Spark-based algorithm to classify player records into 4 comfortable zones. Utilizing k-means clustering and hit rates, the approach achieved high accuracy in identifying optimal shooting zones. The approach accurately identified each player’s ”most unwanted defender” and best shooting zone Academic Research Paper - GitHub repository link

• Large-scale Artificial Neural Network: MapReduce-based for Machine Learning

Implemented and evaluated machine learning models using MapReduce for large-scale data processing. Programming Skills

Languages and Frameworks: Java, Python, Spring Boot, JavaScript, NodeJS, ReactJS, Redux, Angular, RestAPI, HTML/CSS, Groovy, SQL, NoSQL

Applications / Tools: Git, JIRA, AWS, VSCode, VIM, Linux, Docker, Jenkins, Kubernetes, Postgres, MongoDB, DynamoDB, OracleDB, MySQL

Others: CI/CD, Agile scrum, Full stack Development, Microservice Arch., Distributed Processing, MVC

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