Surya Srikar S. Email and Phone Number

Distributed systems

Exposure: Dot Net, Python, Docker, Web API, Azure.• Worked on provisioning and scheduling services which are a part of Citrix Virtual Apps and Desktop product.• Automated gathering of Azure and AWS cloud resource utilization and cost information to save cloud spendings over 300k per month utilizing AKS and docker written in C# with .Net Core.

Exposure: Dot Net Core, Micro service, Python, Spark, Web API, Kusto• Create and maintain APIs for interacting with Azure inventory systems.• Developed PowerShell modules for internal data quality services.

Exposure: Dot Net, AWS, Python, Git Hub, ReactJS, Open Shift, CDN, S3.• Developed the Crunchi E- Commerce website (link) and warehouse management applications.• Built auto caption generation system used by 1M users.

Exposure: Hadoop, Kubernetes, TensorFlow, Spark, Anomaly detection.• Hardware event extraction on the live virtual machine running on XEN and KVM Hypervisor for machine learning modeling LSTM, achieved 89 % accuracy in detection (virtualization).• Increased classification accuracy to 92.44% using machine learning compared to traditional method’s 75-80% accuracy for process list.• Read research papers and deliver insights on neural networks (CNN, RNN) supervised and unsupervised methods to improve performance.• Took ownership as architect and developed a data pipelines health monitoring system using Azure Mobile Apps, Web API with team.

Exposure: Time Series Analysis, Big Query, Docker, Web Click Stream.• Performed analysis on CBS website visitor’s large datasets to get the insight on customer behaviors and different statistical analysis. • Used predictive analytics such as machine learning and data mining techniques to forecast daily web traffic with a 2% RMSE.• Installed and supported entire CI/CD pipeline on AWS Cloud for app.

Exposure: MS SQL, SSIS, Microsoft Azure, Angular2, Web API, Dot Net, WPF, Power BI.• Developed SQL Complex Queries for ETL mappings validation, ad- hoc reports, and quantitative & qualitative analysis with business analysts’ team of Inovalon USA health care company. Where I used to deal with 1M+ patients EHR.• Collaborated with different team members to designed cloud pipeline to process events from AT&T and Sky Bitz IOT GPS devices of 30k trucks of Schneider Logistics USA in real-time cloud infrastructure on Azure Cloud.

Exposure: Dot Net, C#, My SQL, Distributed Systems, Power BI, SAP Crystal Report, Image Processing, MFC (VC++).• Created dynamic reports using SAP Crystal Reports to get an insight about trainee progress and provided the intelligent feedback mechanism which identifies the areas to improve to fast up the training process. • Developed application in MFC (VC++) to perform monochrome camera calibration. Built an application which auto-detects the moving objects in video using the AForge framework, which has reduced a lot of manual effort.