Adithya Vijayakumar

• Designed and developed Python-based backend data processing pipelines to ingest, validate, and reconcile unstructured inputs
(SLD PDFs and Excel datasets), reducing manual processing effort by ~45-50%.
• Built RESTful backend services using OpenCV and Pandas to convert unstructured network design artifacts into structured,
production-ready data models, with a strong focus on data integrity, error handling, and traceability.
• Implemented event-driven and asynchronous processing workflows to support real-time data synchronization and system
observability across distributed services.
• Architected an agent-orchestrated automation platform integrating multiple external systems (work-order, payment,
notification, audit) via APIs, improving workflow consistency and reducing operational bottlenecks.
• Actively used AI coding assistants and LLMs to refactor legacy logic, debug complex edge cases, and auto-
generate tests, accelerating development and improving system reliability.
• Designing and implementing an agent-orchestrated, event-driven automation platform using Python, distributed
services, and orchestration logic to automate end-to-end customer property damage complaint resolution, with anticipated
benefits such as reduced manual intervention, faster throughput, and improved workflow consistency - outcomes regularly
achieved in automated workflow systems in industry.
• Developing multiple domain-specific processing agents and standardized data models, integrating with external
work-order, payment, notification, and audit systems via REST APIs, to support dynamic workflow execution, robust
traceability, and audit readiness - aligning with industry expectations for enterprise automation and compliance management.

• Developed responsive frontend components using React.js, consuming backend APIs to build production-ready internal tools.
• Optimized SQL queries and data access patterns, reducing page load times and improving backend responsiveness.
• Collaborated with backend engineers, product managers, and designers to develop and deliver responsive internal tools using
React.js.