Designed RESTful APIs for Cody Pathfinder System using ASP.NET Core and Entity Framework to facilitate efficient communication between components.Designed a robust data model using SQL Server, ensuring data integrity and optimal performance for the Pathfinder system.Utilized Azure DevOps and Azure Cloud services to streamline the development, deployment, and maintenance of the Pathfinder system, leveraging the power of the cloud for scalability and reliability with Azure DevOps, Azure SQL Database, Azure Container Registry, Azure Active Directory, Azure Blob Storage, Azure App Service.Developed the frontend application using Angular, delivering an intuitive and responsive user interface that enhances the overall user experience.

Led the migration of a monolithic wealth management system to a cloud-native microservices architecture on AWS Elastic Kubernetes Service (EKS), enhancing scalability, resilience, and cost-efficiency.Designed and developed RESTful APIs within Spring Boot microservices using Java 11, facilitating seamless communication and data exchange between system components.Implemented an event-driven messaging system using Kafka and ELK (Elasticsearch, Logstash, Kibana) stack, enhancing real-time data processing and system monitoring capabilities using Srping boot and Java 11.Managed and maintained the GitLab CI/CD pipeline, ensuring continuous integration and delivery of software updates and improvements.Served as the leader of the EKS migration initiative within the PMC team, overseeing the successful transition to a modern cloud infrastructure.Performed performance tuning using New Relic and Splunk, optimizing system performance and reliability.Served as the subject matter expert (SME) in caching systems, implementing efficient caching strategies to improve system response times.Initiated and hosted hackathon events within the PMC team, fostering innovation and collaboration among team members.Utilized Terraform for infrastructure as code (IaC) to automate and streamline infrastructure provisioning and management.Acted as the Scrum Master within the PMC team, ensuring adherence to Agile principles and facilitating efficient project execution.

As a DevOps Engineer, leveraged CDK Python and Azure DevOps to streamline development workflows and infrastructure management.Provided vital support to the core infrastructure team, specializing in AWS deployment, encompassing services such as ECS, S3, EC2, VPC, and Lambda, ensuring robust and scalable cloud solutions.Demonstrated proficiency in maintaining the Azure DevOps pipeline through script-based automation, ensuring efficient and consistent delivery of software projects.

Architected and constructed a robust cloud data pipeline tailored for the P&C insurance domain, harnessing the power of AWS services.Utilized a sophisticated technology stack that included Spring Boot, Spark, and Scala using Java 11 for the compute engine, ensuring high-performance data processing.Leveraged AWS EMR and ECS for the compute engine cluster, optimizing scalability and resource utilization.Employed a versatile data storage strategy combining S3, DynamoDB, and Hive, ensuring efficient and secure data management.Implemented comprehensive security measures utilizing AWS KMS, security groups, and SSL protocols to safeguard sensitive data.Implemented Okta for seamless Authorization and Authentication, enhancing security and access control.Utilized CloudFormation templates to define infrastructure as code (IaC), promoting automation and consistency.Established a streamlined CI/CD pipeline using TeamCity, facilitating continuous integration and delivery.Designed and deployed serverless applications using API Gateway and Lambda, reducing operational overhead and improving scalability.Implemented Kafka as an event-driven messaging service to enable real-time data processing and communication within the system using Java 11.

Led a transformative project to migrate an existing monolithic image analysis service from .NET Framework to a cloud-native microservices architecture. This initiative involves utilizing AWS API Gateway and Lambda functions to develop a highly scalable and efficient image analysis API in Python.Designed and implemented a cutting-edge, multi-threaded, reactive system using Akka.NET for the image analysis service. This system boasts fault tolerance and the ability to auto-scale dynamically based on usage demands, ensuring optimal performance and responsiveness.Developed a comprehensive PowerShell script to automate essential tasks, including software updates, firmware updates, Windows updates, and license management, enhancing operational efficiency for customer embedded machines.Played a pivotal role in the optimization of the software development workflow for the team, resulting in accelerated development cycles and a heightened focus on critical features.Led a successful hackathon project that entailed the deployment of a RESTful service on AWS EC2 instances. Collaborated seamlessly with a cross-border team in England to integrate both systems, culminating in the team receiving the prestigious award for the most collaborative effort.

Developed a crucial imaging device service that serves as a bridge between the web UI service and the image acquisition service. Employed WCF (Windows Communication Foundation) for seamless communication and data exchange between these components.Designed and implemented a comprehensive image analysis and acquisition service application utilizing a technology stack that includes C#, C++, WCF, and WPF (Windows Presentation Foundation). This versatile application encompasses fundamental image processing algorithms, advanced object recognition capabilities, and specialized bio application module analysis features.

Developed a sophisticated multi-threaded web-based system featuring advanced face detection capabilities, designed to power the web-based user interface for Futronic and Lumidign fingerprint scanners and webcams. Leveraged a diverse technology stack, including DirectShow, OpenCV, NEUROtechnoogy MegaMatcher SDK, NIST SDK, and snorkel HTTP server.Designed and implemented a custom biometric tool with functionalities similar to BioAPI, using Visual C++ and GCC compiler. Integrated the tool seamlessly into both Java and web-based environments through the use of JNI (Java Native Interface) and ActiveX. This innovation not only removed dependency on MegaMatcher SDK but also eliminated associated licensing costs.Spearheaded the development of a business-to-business iOS5 app using Objective-C and Xcode. The app allows users to capture face images and record voice information using the device's built-in camera and microphone. It further enables communication with SOAP and REST servers for biometric matching. The app also includes intelligent features for detecting face orientation and optimizing face framing to enhance image quality.Proficient in agile methodologies such as Scrum and experienced in test-driven development, demonstrating expertise across the entire software development lifecycle. This includes tasks encompassing design, implementation, coding, debugging, testing, deployment, and ongoing maintenance.

Led the fingerprint reconstruction project under the guidance of the former Chief Technology Officer (CTO).Designed and implemented an innovative algorithm for the analysis and enhancement of flawed fingerprint inputs originating from the same finger. Employed a combination of techniques, including dilation, erosion, edge detection, and affine transformation, to process these inputs effectively. Developed a robust mathematical model to amalgamate the imperfect fingerprint data and generate a reconstructed fingerprint image meeting stringent biometric matching criteria.

Transformed MATLAB code into C/C++ and executed extensive code optimization to significantly reduce the execution time of a weather forecasting model. This optimization aimed to prepare the model for efficient implementation on GPU utilizing Nvidia's CUDA parallel computing architecture.