Adithya Ramanujam Email & Phone Number

Atlanta, Ga, Us

Sunnyvale, Ca, Us

Alpharetta, Ga, Us

As a Site Reliability Engineer at LexisNexis Risk Solutions, I have spearheaded pivotal projects and innovations to enhance system reliability and efficiency. My key contributions include:Infrastructure Integration: Architected and implemented a robust connection between Azure cloud resources and on-premises data centers through the strategic deployment of Firewalls and VPN Gateways. Utilized a sophisticated hub and spoke model, meticulously constructed using Terraform to ensure infrastructure was developed as code, prioritizing security and performance at every step.Application Maintenance with Kubernetes: Leveraged Kubernetes and Helm to ensure seamless maintenance and scalability of applications hosted on Azure Kubernetes Service. Addressed and resolved complex issues within our Kubernetes clusters, enhancing system stability and performance. This proactive management ensured high availability and consistent user experience across our services.Monitoring and Alerting Systems: Developed and integrated comprehensive monitoring and alerting solutions using Grafana and Opentelemetry. These systems were specifically tailored to address previously unmonitored aspects of our infrastructure, significantly enhancing visibility and operational uptime. These tools are now crucial for over a hundred stakeholders, facilitating continuous system availability.Automation and Optimization: Crafted and refined multiple automation scripts using Bash, integrated with Azure CLI. These scripts effectively manage cluster operations, including scheduling downtime for cost optimization and automating the service deployment pipeline, thus enhancing operational efficiency and reducing manual intervention.

Alpharetta, Ga, Us

As an SRE Intern, I was tasked with a critical project to enhance operational insight and oversight through the use of advanced monitoring tools. My contributions included:Dashboard Development: Utilized Log Analytics to design and implement a comprehensive dashboard that monitored various critical metrics, including application health and cost metrics. This tool became instrumental in facilitating real-time decision-making and operational efficiency.Executive Reporting: Created detailed executive summaries directly from the dashboard data, providing relevant stakeholders with insightful analyses on application performance and cost effectiveness, thus supporting strategic planning and resource allocation.

Palo Alto, Ca, Us

At CueBack, my internship focused on leveraging machine learning to enhance user experiences and improve operational efficiencies. My contributions included:Recommendation Engine Development: Engineered a user-based collaborative filtering recommendation engine tailored to dynamically personalize the content feed according to user preferences, improving content relevancy and user interaction.Machine Learning Applications: Developed a machine learning program using TensorFlow that recolorized all black and white images on the platform, enriching visual content and enhancing the overall aesthetic of the site.Agile Practices and Task Standardization: Instrumental in implementing agile methodologies and standardizing tasks within a small team of software engineers. This strategic shift not only streamlined workflow but also accelerated product development cycles and improved team collaboration and adaptability.

Atlanta, Georgia, Us

As a Frontend Web Developer Intern at Codoxo, I was responsible for developing a critical feature for the existing web application aimed at detecting healthcare fraud through geospatial analysis. My contributions included:Geospatial Mapping Widget Development: Created a new Vue.js widget that generated a geospatial map visualizing the distribution of medical providers in various regions. This tool was instrumental in identifying potential clusters of high-risk providers, suggesting areas of concentrated fraud activity.Integration and API Management: Integrated the widget with multiple backend APIs, ensuring seamless data retrieval and real-time updates to the map. This integration was crucial for the widget to function as an integral part of the larger application, providing dynamic and actionable insights.Feature Implementation in Production: Successfully implemented the feature into the main application, providing executives and stakeholders with vital tools for strategic decision-making in fraud detection and prevention.