With over 10 years of experience in designing, building, and optimizing large-scale AI platforms, distributed systems, and cloud-native solutions, I specialize in delivering secure, scalable, and high-impact software. My work spans AI-driven innovations, enterprise system design, and cloud architecture, with notable contributions to Microsoft 365 Copilot, Salesforce connectors, and large-scale data integrations.

• Core contributor and maintainer of Agent 365, an open-source platform that simplifies AI agent management, security, and integration in enterprise environments.
• Maintains Python, JavaScript, and .NET SDKs, along with DevTools and CLI integrations.
• Since its launch at Microsoft Ignite 2025, Agent 365 has surpassed 11,000 downloads and is actively used by thousands of developers across the globe.
• Authored multiple technical articles on Agent 365, establishing best practices for enterprise AI integration and positioning myself as a thought leader in this space.
• (Github Account linked to CorpNet: https://github.com/rahuldevikar761)

• Built and optimized knowledge connectors bringing enterprise data (SharePoint, Salesforce, Dataverse) into Microsoft 365 Copilot for AI consumption.
• Improved Salesforce connector reliability from 70% to 95% success rate through bug resolution and intelligent NL2SQ fallback mechanisms.
• Enabled thousands of developers to extend Microsoft 365 Copilot with custom agents while maintaining enterprise security.
• Users now get AI-powered answers from enterprise data sources with 95% reliability, improving knowledge discovery and decision-making.

• Migrated analytics metadata from standalone Cosmos DB to enterprise shared infrastructure across 20+ metadata types.
• Re-architected database schema eliminating 2MB document limitations and thread-safety issues.
• Optimized query patterns removing unnecessary index files.
• Implemented intelligent retry logic with exponential backoff for API rate limiting.
• Reduced daily infrastructure costs from $2,500 to $270 (>90% savings).

• Built automated E2E test suite running 100 prompts across 6+ knowledge sources after every code check-in.
• Implemented island-specific testing for ML model deployment.
• Created offline validation framework for pre-release testing.
• Designed alert system for knowledge source-specific failures.
• Detected critical regressions before production (including secondary region failure).

• Blocked vulnerable model deployments by integrating security scanning into the pipeline.
• Fixed production debugging enabling distributed tracing.
• Implemented proactive monitoring detecting failures before customer reports.
• Reduced log noise by 30,000+ lines daily improving troubleshooting efficiency.

• Extended platform to Government Cloud (GCC) and sovereign clouds.
• Modernized CI/CD with YAML-based pipelines.
• Implemented security compliance with OpenTelemetry and audit logging.

• Designed and shipped a Service Fabric-based orchestrator for IAP that coordinated long-running ML/data pipelines (minutes → multi-week).
• Scaled to hundreds of TB processed through MEF batch/online inference paths.
• Unified batch + online model execution by standardizing MEF entry points and operational APIs.
• Instrumented orchestration for observability and failure isolation across multi-stage pipelines; implemented retries, checkpointing, and guarded rollouts.
• Integrated Dataverse/Dynamics application user management for first-party Insights Apps (roles, identities, access paths).
• Drove Secure Future Initiative (SFI) compliance for IAP services (governed release pipelines, safe secrets, MSI onboarding, vulnerability management).
• Established repeatable test-cluster rollout for rapid developer iteration on IAP.

• Featured work in Forbes, The Verge, CNBC, and Tech.co in enterprise AI and cloud computing.
• Actively mentor engineers and contribute to open-source communities.

• Cost Reduction: 90%+ savings ($2,500 → $270 daily infrastructure costs).
• Reliability Improvement: 70% → 95% success rate for Salesforce connector.
• Zero-Downtime Migration: 99% of production traffic migrated successfully with no escalations.
• Security Enhancement: 83% reduction in RDP access (1,200 → 200 requests/month).
• Quality Assurance: 100-prompt automated E2E tests across 6+ knowledge sources.
• Log Reduction: 30,000+ lines of noise eliminated daily.
• ML Pipeline Orchestration: Scaled Service Fabric orchestrator to process hundreds of TB through MEF batch/online inference paths.
• Developer Enablement: Created integration samples for Semantic Kernel, OpenAI, and multiple agent frameworks.
• Production Incident Prevention: Proactive migration from failing legacy system preventing major outage.
• Database Optimization: Re-architected Cosmos DB schema eliminating 2MB document limitations.
• Platform Standardization: Unified batch + online model execution reducing fragmentation across ML teams.
• Security Compliance: Drove Secure Future Initiative (SFI) compliance for IAP services.

• Languages: C#, Python, TypeScript, JavaScript, C++, C, X++, PowerShell, MATLAB, HTML
• Frameworks & Tools: React, Django, Flask, .NET, SocketIO, MQTT, Dependency Injection
• Cloud & Infrastructure: Azure Cloud Services, Service Fabric, Kubernetes, Cosmos DB, IaaS
• Databases: SQL, Cosmos DB
• Development Tools: Visual Studio, PyCharm, PowerShell ISE, Git, BitBucket
• Operating Systems: Windows, Linux, OS X
• Specializations: AI, Agents, Orchestration, Workflows, Distributed systems, asynchronous programming, CI/CD pipelines, DevOps, security & compliance, monitoring & alerting

• Master of Science in Electrical Engineering
  California State University, Long Beach, USA | August 2014 - May 2016
• Bachelor of Engineering in Electronics Engineering
  Nagpur University, India | June 2009 - June 2013

June 2016 - October 2018

• Designed and developed a custom embedded application using Python and QML on Raspberry Pi.
• Implemented UART communication for printer control and firmware updates.
• Created auto-update services on Raspbian OS with WiFi connectivity.
• Technologies: Python3, QT 5.7, QML, serial communication, JavaScript

• Developed a custom slicing application based on Cura's engine for Airwolf 3D printers.
• Built GUI using Python, WxPython, and OpenGL.
• Implemented UART communication for manual printer controls.
• Added online update feature and notification system.
• Technologies: Python, WxPython, pyserial, OpenGL, URLlib, C, C++, Flask API

• Integrated Airwolf 3D printers with Microsoft's 3D Builder software.
• Created custom USB drivers for printer detection and UUID registration.
• Added network integration feature (WSPRINT) for network-based printing.
• Technologies: V4 Driver tools, Windows Development Kit, 3D Printer SDK