- 🎓 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 a CLIP-guided 3D Gaussian Splatting framework integrating custom opacity regularization and dynamic point cloud pruning.
- Integrated Vision-Language supervision to improve semantic scene understanding and eliminate transient reconstruction artifacts.
- Optimized multi-view 3D reconstruction modules to stabilize novel view synthesis within dynamic, non-static environments.
- Profiled and evaluated key foundational NeRF variants (
Instant-NGP,SSDNeRF,RobustNeRF) across complex localized datasets. - Optimized rendering pipelines to improve convergence speed, balancing real-time frame-rate throughput against structural Peak Signal-to-Noise Ratio (PSNR) metrics.
- 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
- 🥇 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
- Real-time AI Systems
⚡ Open to research collaborations, internships, and AI-focused opportunities