Pioneered the creation and deployment of a metric-driven auto-scaling service, adept at launching and monitoring preemptible VM instances on AWS. This application included advanced features for Apache Storm cluster administration and topology scheduling, resulting in a 70% reduction in the organization's cloud infrastructure costs.
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Led the seamless migration of over 100TB of data from an Apache HBase cluster to Snowflake using Apache Hive. Subsequently, implemented existing Java-based web applications in JavaScript and integrated them with Snowflake, leading to a 50% reduction in turnaround time.
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Engineered proprietary platform applications for user management, automation of crawl jobs, and real-time monitoring of Apache Storm operations, generating valuable telemetry insights.
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Led a diverse range of projects and played a pivotal role in nurturing the growth of junior developers.
Established the company’s foundational technology platform, architecting an application aimed at optimizing the medical insurance claim process. The initiative enhanced transparency among patients, hospitals, and insurance providers, thereby streamlining the entire claim workflow. Onboarded over 100 hospitals and boasted the successful resolution of thousands of claims
Devised a low-light image enhancement solution tailored for raw images captured from smartphone cameras. Leveraging Deep Learning, specifically convolutional neural networks in TensorFlow C-API, the solution was meticulously crafted and rigorously tested on a Samsung smartphone utilizing Android NDK
