Hi, I'm Bhavya Kandhari
Software developer specializing in backend architecture and cloud infrastructure. Graduated with a Master's in Computer Science from Arizona State University.
About Me
I am a Computer Science graduate from Arizona State University (GPA: 3.93) with over 2 years of experience in backend development, cloud infrastructure, and data engineering. At Ernst & Young, I designed scalable ETL pipelines, anomaly detection workflows, and cloud-native dashboards to enhance cybersecurity insights using AWS Glue, Lambda, Redshift, and QuickSight. At ASU, I worked with Professor Yinong Chen to develop scalable tooling supporting CSE 445 (Distributed Software Development) and CSE 446 (Software Integration and Testing).
Let’s connect if you’re hiring Software Developers or Cloud Engineers, or want to talk about backend systems, infrastructure, or DevOps tooling.
Education
Arizona State University
Master of Science in Computer Science
Aug 2023 - May 2025
Tempe, Arizona
GPA: 3.93/4.00
Relevant Coursework
Digital Video Processing
Foundations of Algorithm
Distributed Software Development
Software Security
Information Assurance and Security
Software Verification, Validation and Testing
Data Processing at Scale
Applied Cryptography
Data Mining
Cloud Computing
Amity University Noida
Bachelor of Technology in Computer Science and Engineering
Jul 2017 - May 2021
Noida, Uttar Pradesh, India
GPA: 8.17/10.00
Relevant Coursework
Data Structures and Algorithm
Database Management Systems
Object Oriented Programming
Operating System
Theory of Computation
Computer Architecture
Compiler Construction
Distributed System
Computer Networks
Experience
Software Engineer
June 2024 - April 2025
Ira A Fulton Schools of Engineering
- Developed and maintained backend tooling in Python and C# for distributed computing labs, supporting scalable assignment deployment and automated evaluation for over 400 students each semester.
- Engineered comprehensive automated test pipelines using Pytest and Bash scripting to validate more than 200 student projects, rigorously testing for functional correctness, runtime performance, and resilience to edge cases.
- Enhanced the efficiency of grading systems by optimizing multi-threaded evaluation scripts; implemented asynchronous task execution and resource-aware throttling, leading to a 50% reduction in total execution time.
- Facilitated hands-on debugging workshops and led system architecture walkthroughs, guiding students in designing and implementing RESTful web services, and reinforcing best practices for concurrency control and distributed system patterns.
Technology Consultant
September 2021 - July 2023
Ernst & Young
- Automated a comprehensive IP enrichment workflow by orchestrating services using AWS Redshift, AWS Glue, AWS Lambda, and Secrets Manager; reducing daily processing time by 1.5 hours.
- Designed and deployed robust anomaly detection models leveraging time-series data to proactively identify irregular patterns in network activity, leading to a 20% improvement in the accuracy of incident investigation processes.
- Built highly scalable ETL pipelines using AWS Glue, processing over 50M+ records daily, concurrently built interactive data profiling dashboards in AWS QuickSight to visualize data distributions and ensure quality compliance.
- Developed and deployed an NLP model using PySpark and K-Means clustering to group semantically similar vulnerability descriptions; processed over 10M+ records to consolidate more than 10,000 unique vulnerabilities and their remediation strategies, reducing duplication and improving threat intelligence accuracy.
- Integrated and normalized data from NVD and CAPEC databases, successfully correlating over 65% of CVEs to the MITRE ATT&CK framework to improve threat intelligence and enhance contextual analysis for defensive strategies.
Skills & Tools
Languages
RustJavaScriptTypeScriptGolangPythonSQL
Frameworks & Libraries
React.jsNext.jsTailwindCSSNode.jsExpress.jsFastAPIPandasNumPyMatplotlib
Cloud & DevOps
AWSDockerKubernetesGit/GitHubLinuxGitHub ActionsPrometheusGrafana
Databases & Tools
PostgreSQLMySQLRedisPower BITableauAWS QuickSight
Skills
AgileCI/CDVersion ControlgRPCRESTful APIMicroservicesDistributed Systems
Projects
Metered API Server
Rust
Warp
Tokio
SQLx
PostgreSQL
Docker
CI/CD
- Engineered a secure API server in Rust using Warp, Tokio, and SQLx, enabling API key management, authentication middleware, and PostgreSQL-backed usage tracking.
- Implemented quotas, request logging, and rate limiting features to enforce usage policies, ensuring reliable and fair API consumption.
- Containerized the application with Docker Compose for reproducible development and production-ready deployments, supporting seamless integration with PostgreSQL.
- Applied industry best practices including structured logging, health/readiness probes, OpenAPI documentation, and CI/CD pipelines with GitHub Actions for production-grade reliability.
GoFlix - RESTful Movie Management API
Golang
PostgreSQL
JWT
REST API
Docker
bcrypt
CORS
- Built production-ready RESTful API in Golang with 12+ endpoints for full CRUD operations, JWT authentication, and microservices architecture patterns, supporting 100+ concurrent users.
- Implemented secure backend services with PostgreSQL database, automated migrations, bcrypt password encryption, and middleware integration, achieving 99.9% uptime through comprehensive error handling and graceful shutdown.
- Designed scalable architecture with background email processing, CORS support, structured logging, and real-time metrics monitoring (/debug/vars), demonstrating enterprise-grade development practices and performance optimization capabilities.
AWS Cloud Resume Challenge
AWS S3
CloudFront
Route 53
Lambda
API Gateway
DynamoDB
AWS SAM
GitHub Actions
Python
- Successfully built and deployed a serverless resume website on AWS, demonstrating proficiency in cloud architecture and DevOps practices.
- Utilized S3 for static website hosting, CloudFront for content delivery and SSL/TLS, and Route 53 for DNS management.
- Implemented a serverless visitor counter using AWS Lambda (Python), and DynamoDB for dynamic content.
- Automated infrastructure provisioning and deployment using Terraform and CloudFormation.
- Established a CI/CD pipeline with GitHub Actions for automated testing and deployment to AWS upon code changes.
Async Text Summarization Microservice
FastAPI
Docker
Tortoise ORM
NLTK
- Developed an asynchronous, production-grade RESTful microservice using FastAPI, Uvicorn, and Tortoise ORM, achieving consistent sub-200ms response latency in local benchmark environments with PostgreSQL as the backend.
- Designed a 2-container Docker Compose architecture to separately manage the API and database layers, with published and versioned container images hosted on GitHub Packages for seamless deployment.
- Implemented real-time content parsing and summarization using newspaper3k and lxml-html-clean, and strategically moved NLP tasks off the main thread to reduce request bottlenecks and optimize throughput by 20%.
- Achieved 100% test coverage with a comprehensive suite of configuration, unit, and integration tests written using pytest; automated testing and deployment workflows using GitHub Actions for continuous integration.