Divyashree Rao

Software Engineer

Mumbai, Maharashtra, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI applications to automate workflows at AWS.
Secured Pre-Placement Offers at both Microsoft and AWS.
Led impactful projects enhancing operational efficiency.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and Machine Learning.

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Skills

Core Skills

Machine LearningAiWeb Development

Other Skills

AWSAlgorithmsAutomationC (Programming Language)C++Cascading Style Sheets (CSS)Cloud ComputingCloud StorageData StructuresGenerative AIGoogle Cloud Platform (GCP)HTMLHTML5Image DetectionJavaScript

Experience

Amazon web services (aws)

2 roles

Software Engineer

Aug 2025 – Present · 7 mos · Bengaluru, Karnataka, India · On-site

Software Engineer Intern

Jan 2025 – Jun 2025 · 5 mos · Hyderabad, Telangana, India · On-site

I was a part of AWS IoT Sitewise team. During my 6 month internship, I:
Led the end-to-end ideation and delivery of Opsight, an AI-powered system that enhances on-call operations and reduces manual ticket analysis.
Built a context-aware assistance experience that provides on-call engineers recommended investigation paths and quicker mitigation steps.
Applied generative AI and knowledge-retrieval techniques to enable faster decision-making using historical ticket learning.
Improved operational visibility by integrating workflows with AWS monitoring and automation services.
Contributed to increasing reliability and efficiency of incident response processes for internal service teams.
Secured a Pre-Placement Offer at the end of internship!!

Machine LearningAIAWSAutomationGenerative AIKnowledge Retrieval

Microsoft

Software Engineer Intern

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

I was a part of Microsoft Advertising - Bing Ads. During my 2 month internship, I:
Designed and delivered end-to-end implementation of AutoAds, a platform that automates ad placement on publisher websites.
Built web-scraping and image-detection pipelines to identify potential ad slots with improved accuracy.
Developed and evaluated ensemble ML models and neural networks to optimize ad placement revenue.
Created UX features for publishers to preview and select the most profitable placements.
Achieved 19.32% predicted improvement in RPM compared to manual placements.
Secured a Pre-Placement offer at the end of internship!

Machine LearningWeb ScrapingImage DetectionNeural NetworksUX DesignWeb Development