Priya Singh

Product Manager

Shahjahanpur, Uttar Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Contributed to AI-driven eCommerce solutions at Salesforce.
Developed scalable tools for AWS account monitoring.
Skilled in multiple programming languages and AI workflows.

Stackforce AI infers this person is a Backend Developer with expertise in AI-powered eCommerce and cloud computing solutions.

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Skills

Core Skills

Software DevelopmentAi-powered ApplicationsBackend Development

Other Skills

AI workflowsAWSAlgorithmsAnalytical SkillsAndroid StudioAngularJSArgs4jCascading Style Sheets (CSS)Coding StandardsCommunicationCompilersComputer NetworkingCross-team CollaborationData StructuresDatabases

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Salesforce

Associate Member of Technical Staff

Jul 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

1. Currently contributing to Salesforce’s Agent-Force initiative, an AI-powered eCommerce platform leveraging Large Language Models (LLMs) to enhance the shopping experience.
2. Developed cart and order interaction flows, enabling LLM agents to handle cart summaries, order
edits, and purchase-related actions.
3. Authored and optimized LLM prompts to guide agent behavior, ensuring accurate and context-aware fulfillment of diverse user requests in real-time shopping scenarios.

JavaLarge Language Models (LLMs)AI workflowseCommerceSoftware DevelopmentAI-powered Applications

Amazon

Software Engineer Intern

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India

◦ Developed an Account Monitoring Tool in Java for tracking AWS account changes, promptly reporting
modifications. or inconsistencies
◦ Enhanced user experience with features like Take Snapshot, Find Delta, and improved filtering options.
◦ Utilized external packages (Args4j, JavaMail, TicketyApi) for streamlined functionality, including commandline argument handling, email notifications, efficient email composition and delivery, and integration with ticketing systems.
◦ Proven effectiveness in detecting and reporting changes within 1000 AWS accounts, highlighting scalability and performance for deployment.

JavaAWSArgs4jJavaMailTicketyApiSoftware Development+1