Supporting PointClickCare (PCC) in problem discovery and AI opportunity assessment. Involved in discovering ICD coding problems ($$M evaluation) in health tech to build product strategy for improving RAF, HCC, and ICD coding optimization through AI solutions for Skilled Nursing Facilities (SNFs) and Physicians focusing on post-acute and geriatric healthcare sectors.

Teaching Assistant for "Writing for Managers" course with Professor Beth Walter at Tepper School of Business.

Deliver 2 high-priority projects in 12 weeks focused on improving Developer productivity. Performed customer surveys via forms, focus groups, and automated data collection and interpretation via innovative engineering solutions.Also evaluated $XX million investment on Github Copilot Gen AI feature usage for developers at Autodesk. Gathered customer sentiments, CSAT score, and NPS score. Formulated detailed insights and learnings and recommended solutions.

Amazon Music – Software Engineer (Interim Technical Product Manager)• Product Optimization: Improved playback experience for Amazon Music Prime customers to give full access to music library by expanding catalog from 2MM to 100MM songs, boosting music listening time to increase daily active users by 8.6%.• Product Execution: Developed and executed go-to-market (GTM) launch plan for a comprehensive testing framework to ensure a successful transition to an expanded music library for 55MM customers, increasing music streaming north-star by 20%.• A/B Testing: Introduced a new subscription tier to Amazon Music catalog by deploying code via A/B Testing across 3 regions, to minimize blast radius and enhance service reliability; Collaborated with cross-functional teams for seamless code change.• Data-Driven Decisions: Solved high-severity customer issues, reducing turnaround time by 66% to 10mins by building AWS CloudWatch dashboard using AWS CDK to monitor and analyze metrics, and gather feedback for faster data-driven decisions.• Problem Solving: Decreased disk utilization by 10% for Tier 1 application via technical research. Outlined roadmaps, implemented code, and reduced log storage costs by 12.5% per month by using AWS Embedded Metric Formats (EMF) for storing service logs.

Audible (subsidiary of Amazon) – Software Development Engineer• Agile Methodologies: Spearheaded agile scrum ceremonies and feature prioritization to reduce backlog for playback streaming services as Scrum Master for 6 sprints, increasing team velocity by 5.3%.• User Experience: Engaged in user feedback ceremonies to understand pain points and ideated product enhancements to improve playback experience, resulting in prioritization of 85+ tickets that mitigated the most impactful streaming customer issues.

• Increased metric generation efficiency by 10% by optimizing scripts that generate product metrics. Also built Lambda functions to schedule and deploy scripts for continuous feedback of the product StoryMaps.• Developed prototypes in Python to enhance features, identify areas of improvement, and increase web performance score.

• Created an integration test framework for a suite of Esri’s applications in Java, RESTAssured, Gradle, and TestNG.• Built a functional test library for APIs and incorporated it with CI/CD pipelines for test-driven development.• Accomplished 30% automation coverage for standalone APIs. Followed agile software development methodologies.

• Product Development: Developed 5 cloud-based energy management dashboards that enabled system managers to quickly detect incidents and manage electrical grids for effectively monitoring and visualizing hardware systems.• Prototyping: Designed UI wireframes in Balsamiq for prototype visualization for energy management dashboard; Built backend framework in Python to represent data for monitoring and visualizing hardware systems for power grids.• Continuous Improvement: Automated incident reporting by identifying software feature gaps and integrated incident management system with MongoDB database JIRA to improve time to detection by 27%.

• Innovation: Conceptualized an AI chatbot to provide system information, increasing tester productivity by 21%. Designed a utility application for AT&T use cases to optimize, analyze, and perform end-to-end testing and validation.

- Worked as an associate developer to build a utility tool to ease tasks for Test Engineers who work with BBNMS-LS processes.- Joined AT&T IBU and undergone training to work for AT&T as a client - Joined as a fresher and underwent training for one-month learning more about the organization and brushing the basics of Java, SQL, and Communication skills at the workplace.

• Built Content Management Tool to place banners/ads on Jabong’s e-commerce website with cross-platform customization.• Implemented page layout management features with AWS S3 cloud storage, JavaScript, and NodeJS.

• Built a library management system in C# and .NET