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Aditya Sairam
Mid-Level Software Engineer specializing in cloud data platforms and AI search
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Open-source JavaScript contributor focused on data visualization, extending Chart.js/React with custom plugins for real-time streaming dashboards. Designed an end-to-end telemetry pipeline using Apache Kafka and Azure Cosmos DB, optimizing partitioning, batching, caching, and client throttling to keep latency low and support thousands of concurrent users. Demonstrates strong ownership in fast-changing environments, including building full-stack AI applications and ingestion/ETL pipelines at Robotics Technologies LLC.
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Key Strengths
- Built real-time streaming dashboards using Kafka + Cosmos DB with Chart.js/React live updates
- Performance tuning for high-throughput, low-latency systems (Kafka partitioning, batching, caching)
- Front-end runtime optimization for frequent-update UIs (throttling, React memoization to reduce re-renders)
- Strong debugging/diagnostics using profiling and monitoring (Chrome DevTools, Application Insights)
- Improves developer experience via clear documentation and focused example applications
- End-to-end ownership in unstructured environments (architecture, ingestion pipeline, ETL, stakeholder communication)
- Scaled system to support thousands of concurrent users
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