Ladi Sai Ramana
Computer Science Undergraduate | Full-Stack Developer | AI Automation
Hyderabad, India
sairamanladi2007@gmail.com
I’m a Computer Science undergraduate at Vasireddy Venkatadri Institute of Technology, building full-stack applications and AI-powered tools. My projects include GitHub repository analysis, automated AI knowledge pipelines, and network-state forecasting. I’m looking to connect with developers, collaborate on open-source projects, and explore internship opportunities.
Student Tribe Member
Student Tribe , VVITU
- Support event registrations and maintain participant records as part of the technical team. Assist with registration coordination and event-related administrative tasks.
Community Team Member
Creative Community, VVITU
- As a Core Member of Creative Community VVITU, I help organize workshops, gaming activities, and community events focused on game development and emerging technologies.
Software Intern - Product Testing
aureon tech
- Supported pre-release testing of Co-Space, a product being developed by a student startup.
Web Development Trainee
orvionar
- Completed a structured training programme covering HTML, CSS, JavaScript, and React fundamentals. Practised building web interfaces through hands-on exercises.
CODE DNA - Developer Intelligence Platform
Built a full-stack platform that analyzes GitHub repositories and generates developer profiles across eight dimensions, including readability, complexity, documentation, and testing. Implemented a distributed Python analysis engine with adaptive batching and parallel workers. Integrated GitHub OAuth, PostgreSQL storage, and an interactive profile dashboard.
Vybe Intelligence Vault - Automated AI Knowledge Platform
Built an automatically updated knowledge platform covering AI agents, RAG systems, MCP servers, and developer tools. Developed a harvesting pipeline with deduplication, quality evaluation, semantic indexing, and automated publishing. Added an MCP gateway for AI assistants and an interactive 3D knowledge explorer.
SENTINEL / NI - Network Intelligence Platform
Built a network-intelligence platform that uses an LSTM model to forecast network state across five horizons from 10 to 50 seconds. Developed FastAPI services, a Next.js dashboard, and authenticated remote-sensor telemetry with validation and isolated sensor histories. Added human-reviewed mitigation recommendations and automated API, runtime, and security checks.
Bachelor of Technology (B.Tech.) in computer science and techology
Vasireddy Venkatadri Institute of Technology
Attendee · Oct 24, 2026