Shreyas Pandey

Senior Software Engineer

Bengaluru, Karnataka, India7 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

7+ years of experience in cloud systems and microservices.
Led AI-driven automation projects for cloud migration.
Developed resilient backend systems for Azure services.

Stackforce AI infers this person is a Cloud Computing and AI specialist with a focus on backend systems.

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Skills

Core Skills

Multi-agent Orchestration For Ai SystemsAi Model Augmentation Through SftCloud-native Architecture

Other Skills

RAGRLHF.NET FrameworkCloud ApplicationsAzure DevOpsC#Microsoft AzureC

About

I’m a Senior Software Engineer with 7+ years of experience building large-scale cloud systems, generative AI copilots, orchestration platforms, and mission‑critical microservices on Microsoft Azure. Lead engineer in designing AI-driven automation for cloud migration, landing zone setup, and infrastructure generation. Proven ability to build resilient backend systems, data pipelines, and distributed microservices powering Azure Backup, Recovery, and Migrate services for 1M+ workloads.

Experience

7 yrs 10 mos

Total Experience

7 yrs 10 mos

Average Tenure

7 yrs 10 mos

Current Experience

Microsoft

2 roles

Senior AI Engineer, Azure Copilot

Sep 2023 – Present · 2 yrs 8 mos · Hyderabad, Telangana, India

Lead projects leveraging AI to simplify the setup process for cloud adopters migrating to Azure. Design and improve backend orchestration systems, data pipelines and UI integrations to create customized infrastructure solutions, which utilize customer on-premises data to produce ready-to-deploy Infrastructure as Code (IaC) for easy migration and management.

Multi-agent orchestration for AI systemsAI model augmentation through SFTRAGRLHF

Software Development Engineer, Azure Core

Jul 2018 – Sep 2023 · 5 yrs 2 mos · Hyderabad, Telangana, India

Developed and owned a micro-service for Azure Backup and Recovery, an offering designed to ensure business continuity by replicating workloads on physical and virtual machines (VMs) from a primary site to a secondary location. The micro-service forms the control plane of the offering- managing data and workflows for migration, replication, failover, and failback operations for 1M+ VMs, thus ensuring seamless access to applications during outages and efficient restoration when the primary site is back online.

Cloud-Native Architecture

Amazon

Software Engineering Intern, Amazon Business Acquisition

Feb 2018 – Jun 2018 · 4 mos · Hyderabad Area, India

Designed and implemented a data path to capture and structure business profile data in real-time using AWS technologies (Elasticsearch, Kinesis, Lambda, Dynamo DB, Aurora RDS). Designed a web application to service requests over the structured data for the marketing team to create personalized product experiences. Integrated the application with internal data analysis tools, rendering real-time insights for 10K+ customers.

Cloud-Native Architecture