Software Engineer C#

Sai Akhil Bharthavarapu

304-***-**** *********@*****.*** linkedin.com/in/sbharthavarapu github.com/sbharthavarapu Experience

AXS Group LLC April 2021 – Present

Software Engineer I Cleveland, OH

• Built and maintained 15+ production-grade backend services in Python and C#/.NET, including a secure auditing system using Audit.NET and EntityFramework, improving data traceability across 100K+ records and supporting compliance requirements.

• Developed and maintained full-stack .NET MVC applications leveraging C#, ASP.NET Core, and MS SQL Server to design scalable APIs, optimize stored procedures, and improve query performance. Delivered end-to-end features across backend and frontend layers with a strong emphasis on reliability and clean architecture.

• Engineered full-stack React frontends integrated with RESTful .NET APIs, creating interactive dashboards and user-facing portals using React, JavaScript, and TypeScript. Enhanced UI performance and user engagement by 15% through efficient state management and modular component design.

• Led code deployments and production releases via Git-based CI/CD pipelines, collaborating on RFCs, performing environment configuration, and ensuring smooth rollouts to AWS-hosted environments. Provided post-deployment production support and troubleshooting for critical services.

• Actively participated in Agile ceremonies—including sprint planning, stand-ups, and retrospectives—to drive sprint goals and improve collaboration. Provided mentorship to junior engineers, performed code reviews, and ensured consistent adherence to best practices in testing, documentation, and version control.

• Led development of real-time data pipelines between Microsoft SQL Server, PostgreSQL, and Elasticsearch using Kafka, enhancing data synchronization accuracy and reducing indexing latency by 50%.

• Designed and deployed secure, load-balanced AWS environments with EC2, ECS, Docker, S3, Lambda, and RDS, managing full lifecycle deployments and production monitoring using CloudWatch and Datadog.

• Contributed to testing frameworks, achieving consistent 80%+ code coverage across critical services using xUnit, NUnit, and Pytest.

• Collaborated with 5+ cross-functional teams including design and ML to integrate ETL pipelines with 10+ customer- facing features, improving data reliability and product experience.

• Built 6+ internal tools and admin portals using AngularJS, React, and Objective-C, reducing operational overhead by 30% and accelerating feature delivery timelines.

• Automated testing framework using JUnit, improving code coverage to 90% and enhancing production reliability across 20+ microservices.

West Virginia University August 2018 – December 2020 Research Assistant Morgantown, WV

• Simulated PET scanner data with DETECT2000: Implemented simulations in Python for cylindrical scintillator modeling, producing accurate photon transport data to support research in medical imaging.

• Designed a Deep Neural Network for PET coordinate estimation: Developed a Deep Neural Network (DNN) capable of estimating 3D positron emission coordinates from raw light patterns detected in scintillator arrays. Additionally, researched the use of TensorFlow LSTM models for temporal sequence modeling of photon emissions.

• Achieved 84% accuracy with CNN-based approach: Leveraged PyTorch-based Convolutional Neural Networks

(CNNs) for classifying and localizing emission patterns. Performance metrics showed 84% accuracy, demonstrating potential for real-world PET applications.

• Implemented visualization of ML outputs: Used Matplotlib and data visualization techniques to analyze, validate, and interpret model outputs, which helped in understanding error patterns and improving the overall model design. Education

West Virginia University Morgantown, WV

Master of Science in Computer Science August 2018 – December 2020 National Institute of Technology Bhopal, India

Bachelor of Technology in Computer Science August 2014 – May 2018 Technical Skills

Languages: Python, TypeScript, C#, SQL, JavaScript, Node.js Frameworks & Tools: FastAPI, React, Redis, PostgreSQL, Kafka, Terraform, GitHub Actions Cloud & DevOps: AWS (EC2, ECS, S3, CloudWatch), Docker, CI/CD, Datadog APIs & Systems: REST, GraphQL, Microservices, Event-driven Architecture Testing & Monitoring: Pytest, Postmortems, On-call support, Code coverage tools

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