"Simulating intelligence because reality is too slow."

---

About Me

I am a Visiting AI Researcher at National Ilan University (Taiwan) and a CS Undergraduate at Chitkara University, currently pursuing a Minor in AI at IIT Ropar.

My work bridges the gap between Research and Production. I specialize in optimizing Large Language Models (LLMs) for edge environments and building agentic workflows that solve real-world problems.

• Awards: Total winnings of ₹2 Lakh+ (~$2,400 USD) in Hackathons & Grants.
• Global Footprint: Researcher in Taiwan | Internship Aspirant for Singapore/Japan.
• Focus: Autonomous Agents, Medical AI, and Latency Optimization (vLLM/DeepSeek).

---

🛠️ The Arsenal

Generative AI & LLMs

Computer Vision & ML

Engineering & DevOps

--

Selected Projects

🤖 AI Scheduling Agent An autonomous agent that manages cross-timezone scheduling using reasoning capabilities. Stack: DeepSeek-R1, vLLM, Google Calendar API. Impact: Reduced coordination latency by 70%. Tech: Optimized inference on Consumer GPUs (AMD) to <2s.

🏥 VocalWell (Medical AI) Bio-acoustic AI for diagnosing voice pathologies using non-invasive audio samples. Stack: TensorFlow, Librosa, Web3 (Privacy). Research: Ablation studies on MFCCs vs Mel-Spectrograms. Speed: Achieved <10s on-device inference for rural healthcare.

Tip

Open for Collaboration: I am actively looking for Summer 2026 Research Roles (Singapore/Japan/Europe) and GSoC 2026 internship.

---

GitHub Analytics