Deepali Garg

Software Engineer

Redmond, Washington, United States9 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in scalable, cloud-native solutions.
Led AI-driven workflows for enterprise data connectivity.
Contributed to Model Context Protocol for LLM integration.

Stackforce AI infers this person is a SaaS expert specializing in cloud-native solutions and AI integration.

Contact

Skills

Core Skills

Generative AiCloud-native SolutionsCloud MigrationData Analytics

Other Skills

Microsoft Copilot StudioPower PlatformAI agentsAmazon Web Services (AWS)JavaApache SparkAmazon Elastic MapReduce (EMR)C++CCore JavaSQLAngularJSJavaScriptProgrammingMicrosoft Office

About

I specialize in building scalable, secure, and cloud-native solutions that empower enterprise platforms and accelerate innovation. My work spans backend engineering, infrastructure modernization, and AI integration—delivering intelligent, resilient systems that support both internal and customer-facing applications. I’ve led efforts to integrate AI-driven workflows into enterprise data connectivity solutions, enabling real-time processing and seamless interoperability across cloud services. My contributions include designing and implementing agentic frameworks that automate software testing lifecycles using AI-powered agents, improving coverage, accuracy, and developer efficiency. More recently, I’ve been deeply involved in the evolution of the MCP (Model Context Protocol)—an open protocol that enables seamless integration between LLM applications and external tools. I’ve contributed to the development of MCP servers and extensibility features that support dynamic discovery and invocation of tools across low-code platforms, enabling scalable agent orchestration and composable AI experiences.

Experience

Microsoft

2 roles

Software Engineer 2

Promoted

Oct 2024 – Present · 1 yr 5 mos · Redmond, Washington, United States · Hybrid

Working on enhancing Generative AI experience for enterprise customers of Microsoft Copilot Studio and Power Platform. Currently working on Agent365- a control plane to deploy, govern, and manage AI agents at scale

Generative AIMicrosoft Copilot StudioPower PlatformAI agentsCloud-native solutions

Software Engineer

Mar 2020 – Feb 2022 · 1 yr 11 mos · Redmond, Washington, United States

Part of the Microsoft Skype and Teams Infrastructure team and working on high-impact infrastructure solutions for the organization.

Amazon

Software Engineer 2

Feb 2022 – Oct 2024 · 2 yrs 8 mos · Greater Seattle Area

As a part of the Catalog System and Services division I worked on cloud migration, developing data analytics and metrics using Spark for GenAI-regenerated data and Native AWS systems that leveraged Generative AI(AWS Bedrock) for improving Amazon Catalog quality.

Amazon Web Services (AWS)JavaApache SparkAmazon Elastic MapReduce (EMR)Cloud migrationData analytics

College of information and computer sciences, umass amherst

2 roles

Graduate Teaching Assistant

Sep 2019 – Dec 2019 · 3 mos · Amherst

Fall 2019: I serve as a Teaching Assistant and grade assignments, quizzes and examinations for CompSci 391L

Career Developer

Sep 2019 – Dec 2019 · 3 mos · Amherst

My responsibilities include
1. Serving as a resource for 1700+ of my peers in helping them land their dream jobs in Computer Science.
2. Helping students create their career development plans.
3. Assisting them with resumes, cover letters, mock interviews and job search through 1-on-1 appointments.
4. Managing social media marketing accounts on behalf of CICS Careers.

Amazon

Software Development Engineer Intern

Jun 2019 – Aug 2019 · 2 mos · Seattle, Washington

University of massachusetts amherst

Graduate Student Researcher

Jan 2019 – May 2019 · 4 mos · Amherst

Working with Prof. Brian Levine to thwart online child exploitation and juvenile trafficking by using Multimodal Deep learning for CEM(Child Exploitation Material) classification in order to create an advanced tool for law enforcement agencies.