Bhimavarapu Bhavana@B_Bhavana
1
Events attended
1
Submissions made
India
1 year of experience
About me
I am a Computer Science Engineering student at Sathyabama Institute of Science and Technology with a strong passion for building autonomous AI systems, multi-agent workflows, and immersive digital experiences. My work centers on solving complex engineering problems through modern software architectures. Key projects I’ve built include Founder's Compass—an AI-native operating system functioning as an autonomous startup co-founder—and UPSHIFT, a code migration and risk proof engine built for IBM Bob. I also engineer 3D VR environments in Unity and develop data dashboards in Power BI. I actively participate in competitive hackathons and engineering challenges, including the Amazon ML Challenge, SAP Hackfest (Grand Finale shortlist with Team 28 Byte), and the Tata Imagination Challenge. Hackathon / Competition Bio I'm a full-stack and AI developer focused on agentic AI workflows, interactive systems, and high-performance applications. I enjoy taking ideas from initial concept to production-ready platforms using React, TypeScript, TanStack Start, Python, Supabase, and Unity 3D. Whether I'm designing multi-agent execution engines, engineering VR combat mechanics, or competing in hackathons, I focus on building scalable, reliable, and user-centered tools.
🤝 Top Collaborators
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🤓 Latest Submissions
UPSHIFT: Microservice Migration & Impact Analysis
Problem Statement: Modernizing legacy monolithic applications and aging microservices is a high-risk, time-consuming endeavor. Software teams frequently face unexpected regressions, broken dependencies, undocumented legacy behaviors, and API contract drifts during migrations. Manual verification requires extensive engineering effort to map dependencies, write test suites, and evaluate behavioral diffs across legacy and target implementations. Solution: UPSHIFT automates and verifies the end-to-end migration lifecycle for cloud-native architectures. The platform features an intelligent Decision Engine, Impact Analyzer, Risk Analyzer, and Profile Label Benchmark Verifier. It automatically parses legacy codebases, maps dependency topologies, generates behavior-matched candidate code, and evaluates regressions using real-time behavioral verification. Target Users & Interaction: UPSHIFT is designed for Backend Engineers, Cloud Solutions Architects, and DevOps Teams. Engineers interact with UPSHIFT via a seamless CLI and developer dashboard. They input legacy code paths or repository links, review automated risk scores and impact matrix visualizations, execute candidate migration scripts, and inspect real-time benchmark verifications prior to production deployment. Uniqueness & Efficiency: Unlike generic code conversion tools, UPSHIFT provides an end-to-end safety wrapper around microservice refactoring. By combining static dependency analysis with dynamic profile-label benchmarking, it guarantees zero-regression migrations while reducing manual refactoring overhead from weeks to minutes.
27 Sep 2026
