Architected & optimized cloud-native microservices using C# (.NET Core), ASP.NET Web API, and AWS

Lambda, improving API response times by 35% and enabling 99.98% uptime.

– Developed GraphQL-based APIs with LINQ & SQL Server, reducing over-fetching and improving query

efficiency, cutting response times by 30%.

– Built dynamic SPAs with React.js, Angular, and Next.js, integrating WebSockets & real-time event-driven

updates, boosting user engagement by 40%.

– Refactored authentication workflows using OAuth 2.0 & JWT, enhancing security and reducing

unauthorized access attempts by 60%.

– Implemented caching strategies with Redis & DynamoDB, accelerating query performance by 45% and

reducing redundant database queries.

– Automated CI/CD pipelines with Azure DevOps, Docker, and Kubernetes, reducing deployment failures by

50% and cutting release cycles by 30%.

– Developed end-to-end testing suites with Selenium, Cypress, Jest, and Postman, increasing test coverage by

70% and reducing post-release defects.

– Collaborated cross-functionally with UX/UI, DevOps, and data teams, leading initiatives that streamlined

feature delivery, reducing time-to-market by 25%.

I served as a teaching assistant for the "Computer Architecture and Organization" course, where I led lab sessions for a class of 101 students. During these sessions, we focused on digital design using Verilog on the Xilinx Vivado Platform. My responsibilities included guiding, teaching, and grading various projects, as well as providing feedback to improve students' understanding of hardware description language techniques.

I have experience in researching hardware, software, and cybersecurity topics, including CWE vulnerabilities and side-channel attacks. I have contributed to the development of a high-level ontology for malware and vulnerability analysis and have worked with various datasets and malware detection techniques. Additionally, I have worked on projects involving intelligent hardware-based anomaly detection and vulnerability analysis using machine learning and ontology modeling.

I have also conceptualized storytelling visualization using PyQT5 GUI framework. In my work, I have benchmarked and assessed risk using failure modes and effect analysis of hardware performance counters in vulnerability analysis. Additionally, I have implemented a system-level ontology for CWE-Attack Impacts and malware attacks on system and hardware components to improve detection and prevention. CWE-Attack Impacts and Malware attacks on systems and hardware components. CWE-Attack Impacts and Malware attacks on systems and hardware components.

As a project at Grepthor Software Solutions-

Developed and streamlined service and application pipelines using Python for data processing and metric tracking.

Designed scalable deployment architectures using Kubernetes and Cassandra, ensuring reliable service delivery.

Reduced latency by 30% using Kafka message queues for distributed data processing.

Managed pods, scaled resources, and implemented container orchestration with Kubernetes for optimal performance and high availability.

Skills: Microservices, Apache Kafka, Cassandra, Kubernetes, Python