Peeneshwar Pappula

ServiceNow Developer
Hyderabad, IN.

About

Highly motivated and enthusiastic ServiceNow Developer Intern with hands-on experience in ITSM applications and core module customization, eager to contribute to impactful projects. Possesses a strong foundation in AI/ML content quality analysis and a passion for leveraging technology to solve real-world problems and optimize business workflows. Seeking to apply technical skills and collaborative spirit in a dynamic environment that fosters continuous learning and professional development.

Work

Vsoft Technologies
|

ServiceNow Developer Intern

Hyderabad, Telangana, India

Summary

Developed and customized ServiceNow ITSM applications, leveraging core modules and scripting to enhance platform functionality and streamline business processes.

Highlights

Developed and customized ServiceNow ITSM applications, gaining hands-on experience with Incident, Problem, Change, and Request Management modules.

Created and managed service catalog items, workflows, and user interface policies to streamline service delivery and improve user experience.

Wrote and debugged client scripts, server-side scripts, business rules, and GlideRecord queries, enhancing platform functionality and data management.

Assisted in managing user roles and access controls, ensuring adherence to ITIL best practices for secure and efficient operations.

Collaborated with senior developers to implement platform enhancements and resolve critical issues, contributing to system stability.

Utilized update sets for version control and migrating configurations across environments, ensuring seamless and controlled deployments.

GlobalLogic Technologies Private Limited
|

Associate Analyst

Hyderabad, Telangana, India

Summary

Specialized in AI/ML content quality analysis for the Gemini chatbot, ensuring safety, ethical alignment, and accuracy of AI-generated responses.

Highlights

Specialized in AI/ML content quality analysis, directly supporting the Gemini chatbot model's integrity and performance.

Conducted comprehensive safety analysis to flag and mitigate harmful content, including hate speech, harassment, and adult material, ensuring ethical AI outputs.

Trained and fine-tuned ML models to align with stringent safety and ethical standards for AI outputs, improving model reliability.

Reviewed and enforced quality standards for diverse content types (video, audio, text), including media generation tasks, ensuring content integrity and compliance.

Handled Personally Identifiable Information (PII) with strict adherence to privacy and compliance protocols, safeguarding sensitive data.

Performed rigorous fact-checking to reduce misinformation and eliminate harmful stereotypes in AI-generated responses, enhancing factual accuracy.

Contributed to advanced intent classification and image localization, significantly improving chatbot understanding and accuracy.

Refined user experience by enhancing the accuracy and fairness of AI-generated responses, improving overall user satisfaction.

Education

Marri Laxman Reddy Institute of Technology and Management
Hyderabad, Telangana, India

Bachelor of Technology (B.Tech)

Computer Science Engineering

Grade: CGPA: 7.83

Certificates

ServiceNow Certified System Administrator (CSA)

Issued By

ServiceNow

Skills

ServiceNow Modules

ITSM, Incident Management, Problem Management, Change Request.

ServiceNow Development

Business Rules, Client Scripts, UI Policies, UI Actions, Flow Designer, Workflow, Basic Service Portal Configurations.

Programming Languages

Python, Java.

Web Technologies

HTML, CSS, JavaScript.

Machine Learning

Random Forest Classifier, YOLO (You Only Look Once) algorithm, Pandas, Sci-Kit Learn.

Data Management

GlideRecord queries, Update Sets, Version Control, Configuration Migration.

IT Service Management

ITIL Best Practices, User Access Control, Roles Management.

AI/ML Content Quality

Content Safety Analysis, Harmful Content Detection, ML Model Training, Quality Standards Review, PII Handling, Fact-Checking, Intent Classification, Image Localization.

Projects

Stomach Hernia Prediction

Summary

Developed a machine learning application for predicting stomach hernias, leveraging the Random Forest Classifier Algorithm and key data science libraries.

Stomach Hernia Prediction and Diagnosis System Using YOLO Algorithm

Summary

Engineered a cutting-edge medical system for the real-time detection and diagnosis of stomach hernias, integrating the YOLO algorithm and machine learning models.