Hi, I'm Vani, an Information Science student who's genuinely passionate about CS, not just as a degree but as a subject. I'm driven by the need to build, the hunger to learn, and the obsession with getting better at both. Cool projects, real problems, and a lot of trial and error, that's where I live.
- π Currently building in the AI security and LLM eval space
- π‘οΈ Researching prompt injection, agentic betrayal, and adversarial testing
- π± GSoC 2026 applicant β contributed to Catrobat/Catroid as part of the application
- π Bengaluru, India
- πΎ WRAITH ββ RL-based adaptive boss AI trained with GRPO on Qwen2.5-1.5B. Enemy that actually learns your patterns.
- π‘οΈ AEGIS ββ Prompt injection & agentic betrayal benchmark. Simulates poisoned DevOps environments to stress-test AI agent integrity.
- π ELEVATE ββ AI-driven placement prep platform with adaptive skill assessment, voice confidence analysis, and sprint generation.
- π SPECTRA ββ Unit test analysis tool with live WebSocket terminal output, coverage dashboards, and visual test reporting.
- META Γ SCALER OPENENV HACKATHON ββ Built and deployed WRAITH in 48hrs
- IEEE NEXTGEN CONVERGENCE HACKATHON 2026
- CODE DETECTIVE : BUG BOUNTY 2026
- AI / ML:
PythonFastAPIPyTorchLangChainGRPORAG - Security:
Prompt InjectionLLM Red TeamingAdversarial Eval - Web:
ReactNext.jsNode.jsMongoDB




