• 🎓 B.E. in AI & ML @ DSCE — CGPA 9.89
• 🛰️ GSoC 2026 Contributor @ InVesalius — TotalSegmentator for CT/MRI segmentation
• 🧠 Generative AI Intern @ AllCognix AI — building distributed data pipelines for agentic AI
• ⚡ Co-Founder & CTO @ Lumus — AI for non-surgical facial enhancement
• 🔒 Patent holder — AeroDrive, wind-powered EV charger
• 👨‍🏫 Mentored 250+ students in MERN @ JIT Davangere
• 🤝 Open to collaborations on agentic AI, medical imaging, and edge AI research
• ⚡ Fun fact: I spend equal time on PyTorch and GLSL shaders

Integrating a lightweight TotalSegmentator pipeline into InVesalius for automated anatomical segmentation of CT & MRI volumes. Building the inference pipeline with PyTorch, NumPy, and wxPython — optimized for low-memory clinical workstations while preserving multi-organ accuracy.

Building a platform that turns raw multi-modal data into AI-ready datasets — ingestion, cleaning, annotation, and export pipelines. Architecting the stack with Apache Spark, Kafka, Airflow, Delta Lake, DVC, and Label Studio. Data versioning, lineage tracking, and human-in-the-loop annotation throughout.

Co-founded Lumus, an AI platform for non-surgical facial enhancement trained on insights from 2000+ peer-reviewed medical papers. Owning the end-to-end CV pipeline — MediaPipe, Vision Transformers, fine-tuned BiSeNet, FastAPI backend — and architecture decisions through MVP.

_{Also working with HuggingFace, LangChain, MediaPipe, Vision Transformers}

_{Plus React Three Fiber, GLSL shaders, Framer Motion}

_{Plus Apache Spark, Airflow, Delta Lake, DVC, Label Studio}

• 🥇 1st Place — AIverse (Amrita) 2026 · Docothon (CellStrat) 2025
• 🥈 1st Runner-Up — Dev Dual, IIT Hyderabad 2026
• 🔒 Patent Published — AeroDrive (App. No. 202441090880 A)
• 🌟 GSoC 2026 Contributor @ InVesalius
• 🧑‍🏫 Lead, Code Zero Club @ DSCE
• 💼 Python Development Intern @ Zaalima Dev Pvt. Ltd. (Mar–June 2025)
• 🛠️ Upstream contributions accepted into FastAI

• Agentic AI workflows + distributed training with Ray
• Medical imaging research (segmentation, multi-modal CT/MRI)
• Novel LLM architectures — Mixture of Recursion, Contextual Sparsity
• Real-time 3D for web — Three.js, React Three Fiber, GLSL

"Greatness is never rushed. It takes time, patience, and relentless hard work."