• 🎓 B.Tech CSE Pre-final Year
• 🔬 Research Intern @ IIIT Hyderabad (Neural Rendering, 3D Vision)
• 🧪 Focused on Computer Vision, LLMs, and Probabilistic ML
• ⚡ Interested in bridging research → real-world AI systems

• Developed CLIP-guided 3D Gaussian Splatting framework
• Semantic scoring + opacity regularization + pruning
• Improved reconstruction quality and removed transient artifacts

• Probabilistic framework using NGBoost
• Modeled latent structural variables (stress/strain)
• Risk-based prioritization using uncertainty estimation

• Applied LoRA + PEFT fine-tuning
• Improved faithfulness up to +49.8%
• Reduced hallucination via calibration optimization

• Multi-view 3D reconstruction in dynamic environments
• Gaussian Splatting + Vision-Language supervision

• Benchmarked NeRF variants (Instant-NGP, SSDNeRF, RobustNeRF)
• Optimized for compute efficiency vs accuracy trade-offs

• Built RAG pipelines (LangChain + FastAPI + WebSockets)
• Designed production-ready LLM workflows

• Multi-agent LLM reasoning visualization (AntV X6)
• AI meeting assistant (real-time transcription + summarization)

• LSTM-based temporal modeling (multi-station fusion)
• R²: 0.92 (O₃), 0.88 (NO₂)

• Time-aware forecasting with XGBoost
• SMAPE: 48.91

• 🥇 Smart India Hackathon 2025 — Top 5 National Finalist
• 🌏 Google AI for Impact Hackathon — Top 98 (APAC)
• 🎓 IAS Summer Research Fellowship Recipient

• Neural Rendering (NeRF, Gaussian Splatting)
• 3D Scene Understanding
• LLM Alignment & Hallucination Mitigation
• Probabilistic ML & Uncertainty Modeling
• Real-time AI Systems

⚡ Open to research collaborations, internships, and AI-focused opportunities