Abhishek Prasad

- Led backend modernization of CPC, Cisco’s power and heat dissipation calculator, migrating legacy Java Struts to Spring Boot, boosting performance and simplifying maintenance. Developed RESTful APIs using Spring Boot, JPA, and SQL, enabling seamless integration with an Angular frontend while reducing query execution time by 20% and enhancing scalability. - Engineered core QDDTS backend components using Java, Python, and MongoDB, implementing complex business logic for query validation, dynamic query construction, and custom response formatting. Enhanced performance and modularity by refactoring legacy components into reusable microservices. - Built AI-powered NLP interface using AutoGen, Streamlit, and multi-agent bots to translate natural language into QDDTS queries, eliminating the need to learn internal query syntax. This tool increased query adoption by 40% among non-technical users and reduced support requests for query formatting issues by 30%. - Built a robust CI/CD pipeline for QDDTS using Jenkins, Ansible, and Artifactory, enabling 40% faster deployments, improving release reliability, and reducing manual effort across environments.

- Maintained and enhanced CDETS, Cisco’s enterprise-scale bug-tracking system serving 50K+ engineers and TAC teams, ensuring 99.9% availability and seamless defect management. - Designed and automated CI/CD pipelines using Jenkins, Artifactory, Splunk, and AppDynamics, reducing deployment time by 40% while improving system monitoring and reliability. Independently managed CLI tool operations, handling deployments and server upgrades, ensuring seamless releases with minimal downtime. - Analyzed support case metrics, collaborating with support teams to identify recurring issues, leading to the design and development of a static Doc Web App using the HUGO framework, which reduced support tickets by 35% - Converted CDETS-CLI interface into a Gradle project, drastically reducing the development time by 100% and new developer onboarding by 50%. - Single-handedly managed Operations for the CLI tool (Server Upgradation, Deployment as well as Pub-Push to ENG servers). - Collected important metrics on our team's server uses and decommissioned needless/redundant. servers/hosts, thereby decreasing the Operations Load as well as using 50% fewer computational resources. - Set up DR(Disaster Recovery) servers in addition to AppDynamics alerts and Monitoring.

- Built an end-2-end Web application from scratch with the help of Angular, Go, and SpringBoot to standardize the email templates sent to our stakeholders for all announcements, alerts and downtime notifications. - Worked on a CLI tool built in Go to ease out Developer Experience while promoting code through different cycles of Development. - Built Jenkins/Linux automation scripts for application Health monitoring and deployments.

- Worked on a video editor to parse images/videos frames using OpenCv and Python.

- Worked directly under the Chairperson CSE Department PESU, for 2 months in the research area of NLP and applied ML. - Co-authored publication of a research paper titled `Document Embedding Generation for Cyber-Aggressive Comment Detection using Supervised Machine Learning Approach` in 14th International Conference on Natural Language Processing (ICON-2017)

Specialization: Data Science