Anwesh Peddineni

• Developed an equities research tool for a finance application, leveraging AI models and ML algorithms to provide 80% accurate equity recommendations based on SEC 13F filings data. Integrated REST APIs to save users 30% of their time • Generated the required dataset using web scraping with Beautiful Soup, followed by comprehensive EDA, data cleaning, and feature engineering using Pandas and Numpy • Employed various scikit-learn classifiers, including Random Forest as a binary classifier, initially achieving 77% accuracy in distinguishing between good and bad investor transactions across the train, cross validation, test datasets • Expert profile is created by understanding area of expertise in the public equity markets from the historic investment data of each expert by making use of feature engineering • Building the UI with React JS and Backend Services with Python, Django and MySQL

• Developed REST APIs for an e-commerce microservices app using Spring Boot, Hibernate, and Node.js, covering 30% critical use cases, ensuring high-quality solutions in an Agile SDLC. • Refactored a Java Inventory Microservice using Design Patterns, achieving 90% test coverage, reducing technical debt by 30%, and accelerating new feature development timelines by 25%. • Built a real-time Analytics Microservice with Spring Boot, Kafka, and React.js to aggregate KPIs, cutting data gathering time by 50%. • Optimized scalable Spring Boot APIs for Order Management with async processing, Redis caching, Feign, and distributed tracing, boosting throughput by 25%. • Migrated a I/O intensive Catalog Microservice from Spring Boot to Node.js. Used async/await and Redis caching, reducing response times by 35% and doubling throughput compared to the Spring Boot application. • Deployed services on Amazon EKS, reducing costs by 15%. Automated infrastructure with Terraform/Jenkins CI/CD, boosting throughput by 25% and reliability by 30%. • Enhanced ReactJS UI with lazy loading, debounce search, CSS shimmer effects, and React portals, reducing load times by 30%.

Coursework: Network Structures & Cloud Computing Program Structures and Algorithms Advanced Big-Data Applications and Indexing Techniques Web Development Tools and Methods Data Management & Database Design Web Design & User Experience Engineering Concepts of Object-Oriented Design Application Engineering & Development