Welcome to my portfolio
Hi, I'm Sri Sai Teja Guduru
Software Engineer
I'm a software engineer and graduate student at Northeastern University who loves turning complex problems into elegant solutions. When I'm not wrestling with code or diving deep into cloud architectures, you'll find me exploring the fascinating world of AI and automation. I have a knack for building scalable applications, streamlining workflows, and making enterprise systems actually enjoyable to use.
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Featured Projects
Cloud-Native Application Platform
Scalable microservices application with comprehensive DevOps pipeline
COVID-19 Intervention Effectiveness Analysis
Data science project analyzing pandemic interventions to identify vaccination as the most impactful factor
QuickContractAI
AI-powered legal document platform with intelligent analysis and generation
Professional Experience
Recent professional experience building scalable applications and leading development initiatives with modern technologies.
Software Developer
Northeastern University
Boston, MA
- ●Delivered an MVP integration for an ongoing project between Canvas LMS with Claude via Model Context Protocol (MCP), enabling AI-powered educational workflows and enhancing the learning management system with intelligent automation capabilities
- ●Built comprehensive AI-powered incident resolution systems, automated response mechanisms, and conversational workflows for ServiceNow platform, streamlining IT operations and reducing manual intervention
- ●Developed a comprehensive faculty-facing dashboard with dynamic filtering and advanced search capabilities, successfully streamlining classroom management processes for over 5,000 users across multiple departments
Specialist, Enterprise Operations
Deloitte
Hyderabad, India
- ●Spearheaded a complex multi-team initiative to integrate ServiceNow with critical enterprise systems including SAP, Dell, SharePoint, and Microsoft Teams, coordinating seamlessly with distributed teams across IT, business operations, and vendor partners spanning multiple geographical locations
- ●Successfully reduced development overhead and significantly improved system reliability by identifying and simplifying over-engineered solutions, implementing more efficient and maintainable architectures that enhanced overall system performance