About
High-achieving Computer Science student with robust full-stack development, AI/ML, and cloud engineering expertise, eager to contribute to innovative tech solutions. Proven ability to optimize systems, reduce operational costs by up to 65%, and enhance user experience through advanced AWS services, Python, Java, and React. Seeking challenging roles that leverage strong problem-solving skills and a passion for scalable, high-impact software development.
Work
Remote, N/A, N/A
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Summary
Spearheaded critical Android application upgrades and feature implementations, enhancing stability and data consistency for a growing user base.
Highlights
Reduced application crash rates by refactoring a legacy codebase, ensuring full compatibility with the latest Android API levels (8 to 29).
Upgraded a legacy Android application to API Level 29, incorporating AndroidX, runtime permissions, scoped storage, and Gradle for enhanced performance and security.
Implemented a foreground monitoring service in Java 17 to improve application reliability and user experience.
Integrated Firebase (Firestore DB + Crashlytics) with advanced features like offline caching, conflict resolution, and retry/backoff mechanisms to guarantee consistent cross-device data integrity.
Authored comprehensive documentation for deployment, maintenance, and future enhancements, facilitating seamless team collaboration and project continuity.
Hyderabad, Telangana, India
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Summary
Led the development of an AWS-based document digitization pipeline, significantly improving data processing efficiency and accessibility.
Highlights
Architected and deployed a robust document-digitization pipeline on AWS (Lambda, S3, Textract, SageMaker) to convert scanned PDFs into searchable formats and generate immutable JSON records for downstream systems.
Reduced manual document processing time by 65% through the implementation of intelligent OCR and ML-powered classification systems, optimizing operational workflows.
Enhanced query-resolution efficiency by 55% and streamlined workflows by enabling seamless retrieval with an LLM-based Q&A system over document repositories.
Led comprehensive requirements gathering, DB schema design, and cross-functional delivery, effectively identifying and resolving critical bottlenecks across Dev, DevOps, Security, and client teams.
Collaborated with developers, DevOps, security teams, and client stakeholders to ensure project alignment and successful delivery of high-impact solutions.
Remote, N/A, N/A
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Summary
Contributed to advanced AI research, significantly boosting a paper's academic impact and developing methodologies for performance assessment.
Highlights
Enhanced research insight by contributing to a paper that addressed three critical AI research gaps, increasing its academic citation potential by 25%.
Collaborated on designing a robust methodology for assessing player performance, enabling real-time decision-making capabilities within a research context.
Skills
Languages
Java, Python, Go, C++, JavaScript, SQL.
Frameworks & Libraries
Spring Boot, Android SDK, Firebase, React, Node.js, TensorFlow, OpenCV, Qt, pandas, NumPy.
Tools & Platforms
AWS (Lambda, S3, Textract, SageMaker), Git, Docker, Kubernetes.
Databases
MySQL, Firestore, PostgreSQL.
Other Technologies
REST APIs, MVVM Architecture, OCR, Machine Learning, Blockchain Concepts.