- 👨💻 Pursuing B.E. in Computer Science Engineering
- 🛡️ Core Focus: High-Performance Systems, Generative AI, and Backend Architecture
- 🧠 Duty: Solving complex problems through rigorous logic and raw computational power
- ⚡ The Goal: Building scalable, efficient systems without attachment to the noise of the industry
- Mini-Redis Memory Core: Engineered a bare-metal C++ LRU Cache managing raw Linux heap memory, bridged with a Python IPC, and deployed on AWS EC2.
- AirMath: Architected a gesture-controlled visual reasoning pipeline decoupling real-time OpenCV vision from a Flask backend, integrated with the Gemini API.
- Medical Image GAN: Developed an unpaired MRI to CT CycleGAN using PyTorch and MONAI for high structural fidelity in medical imaging.
- AdSage: Deployed a scalable GenAI retrieval system using FAISS and AWS Bedrock for automated content generation.
"You have the right to work, but for the work's sake only. You have no right to the fruits of work."
