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Deva Sai Kumar Bheesetti

Mid-level Full-Stack Engineer specializing in data automation, cloud & AI

Lowell, MAGraduate Assistant — Software Development & Data Automation5 years experienceMid-LevelTechnologyConsultingTelecommunications
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About

JavaScript engineer who effectively "maintains" an internal open-source-style React/Node.js shared library used by multiple teams—owning API stability, semantic versioning, CI/testing, logging, and documentation. Demonstrates strong cross-team debugging and change-management skills (schema-driven refactors, feature flags, validation layers) to ship new features without breaking existing workflows, plus a profiling/benchmarking-driven approach to performance.

Experience

Graduate Assistant — Software Development & Data AutomationManning School of Business, University of Massachusetts Lowell
Graduate Research Assistant — AI & HealthcareDepartment of Computer Science, UMass Lowell
Technology Analyst — Module Lead, Pega Decisioning (Verizon Client)Infosys Ltd
Associate Business Analyst — Pega Developer (Verizon Client)Infosys Ltd

Education

University of Massachusetts Lowellmaster, Computer Science (2025)
K L Universitybachelor, Electronics & Communication Engineering (2020)

Key Strengths

  • Maintained shared React/Node.js core module with stable APIs and backward compatibility
  • Introduced schema-driven design and feature flags to ship new functionality without breaking existing consumers
  • Built/strengthened automated tests and CI pipelines to improve reliability
  • Strong debugging and issue-triage process using minimal repros and cross-team input comparison
  • Performance optimization driven by profiling and benchmarking (React re-render reduction, caching, data-structure improvements)
  • Developer-focused documentation with runnable examples and validation by other developers
  • High ownership in unstructured environments (scoping, prioritization, stakeholder communication, delivery)

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Contact

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Languages

English

Skills

PythonJavaJavaScriptFastAPIFlaskReactNode.jsPyTorchTensorFlowAWSAmazon S3Amazon EC2AWS LambdaAWS GlueAmazon SageMaker