- 🎓 B.Tech CSE Final Year
- 🔬 Research Intern @ IIIT Hyderabad (Neural Rendering, 3D Vision)
- 🧪 Focused on 3D Computer Vision and Neural Rendering
- ⚡ 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.
- 🏅 Smart India Hackathon 2025 — Top 5 National Finalist — Finalist out of ~50,000+ national applicants in the Ministry of Education's flagship engineering competition.
- 🌏 Google AI for Impact Hackathon — Top 98 (APAC) Selected as a Top 100 team from thousands of competing teams across the Asia-Pacific (APAC) region
- 🎓 IAS Summer Research Fellowship Recipient — National fellowship awarded by the Indian Academy of Sciences; selection rate historically under 2%.
A. Prabakaran, et al., "Calibration Optimization and PEFT Fine-Tuning for Hallucination Mitigation in Large Language Models," Proceedings of the IEEE INDIACOM Conference, 2026
Core Contribution: Developed an experimental framework utilizing parameter-efficient fine-tuning (PEFT) and calibration optimization to evaluate factual faithfulness metrics and quantify model confidence boundaries.
⚡ Open to research collaborations, internships, and AI-focused opportunities