Master in Computer Science, Indiana University BlRelevant Coursework: Applied Algorithms, Applied Machine Learning, Artificial Intelligence, Cloud Computing, Object Oriented Developmentoomington

Antara Bhavsar

Master in Computer Science, Indiana University BlRelevant Coursework: Applied Algorithms, Applied Machine Learning, Artificial Intelligence, Cloud Computing, Object Oriented Developmentoomington

Available to hire

Master in Computer Science, Indiana University BlRelevant Coursework: Applied Algorithms, Applied Machine Learning, Artificial Intelligence, Cloud Computing, Object Oriented Developmentoomington

Experience Level

Expert
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Language

English
Fluent

Work Experience

Software Developer (Research Assistant) at CNS - Indiana University Bloomington
March 1, 2025 - Present
Optimized memory-efficient, multi-threaded data pipelines for tissue block mapping and projection using Python, increasing processing speed by 30% and enabling precise alignment of 1,000+ tissue blocks. Developed reusable data transformation modules following SDLC best practices, reducing preprocessing time by 25% and improving workflow transparency using Kanban. Implemented multi-threaded, memory-efficient data pipelines with algorithmic and data-structure optimizations, accelerating large-scale computation tasks by 20%.
Full Stack Developer Intern at Amazon Inc
June 1, 2025 - August 1, 2025
Designed distributed, cloud-native monitoring pipelines on AWS using Lambda, CloudWatch, CloudFormation, DynamoDB, SQS, and DLQ, centralizing order event tracking and alerting, boosting on-call efficiency by 35%. Applied Dependency Injection and Registry design patterns to automate DLQ redrive operations, enhancing system extensibility by 65% and reducing MTTR by 40%. Developed production-grade user interfaces with TypeScript, JavaScript, and Vue.js, integrated with REST/GraphQL APIs, AWS IAM authentication, and robust data validation. Built CI/CD pipelines with automated unit, integration, and regression tests using JUnit and Mockito, shortening release cycles by 25%.
Software Engineer, Java at Motorola Mobility
August 1, 2022 - August 1, 2024
Built modular backend microservices in Spring Boot with secure REST APIs, enabling scalable Android app integration. Leveraged Java, Kotlin, Android SDK, Jetpack Compose, and AOSP to deliver experiences to 100K+ users, achieving 18% performance gains. Optimized app responsiveness and memory usage via multithreaded data processing and backend microservice integration, reducing latency by 20%. Implemented algorithmic/data-structure optimizations across Android components (Activities, Services, Broadcast Receivers, Content Providers), streamlined app workflows, and improved reliability. Created custom Jetpack Compose UI components and implemented unit/integration tests, improving usability and maintainability by 15%. Coordinated feature delivery in Agile sprints, including design discussions, planning, and peer reviews. Led the “Care for Dependents” device mode, earning 2nd place at Motorola India Hackathon 2023.

Education

Master in Computer Science at Indiana University Bloomington
August 1, 2024 - May 1, 2026
BE/B Tech in Computer Science Engineering at BNMIT Bengaluru
August 1, 2018 - July 1, 2022

Qualifications

Motorola India Hackathon 2023 - 2nd Place
January 1, 2023 - February 12, 2026

Industry Experience

Software & Internet, Education, Healthcare, Life Sciences, Professional Services