Edge AI developer and Integrated MCA student who deploys quantized CNN models on NVIDIA Jetson Orin Nano with CUDA — a 4× GPU speedup and sub-100 ms inference.
I design end-to-end IoT-ML pipelines, from wearable and field sensors to Django REST back-ends, with real deployments in agriculture and healthcare.
I build full-stack web applications, creating responsive interfaces and connecting them to APIs and data layers. I focus on clear user experiences and practical, maintainable solutions.
I'm the kind of engineer who doesn't just build systems. I build systems that build themselves.
While most developers are still manually deploying containers, I'm teaching AI to manage entire infrastructures.
I build practical AI, IoT, and full-stack systems, taking ideas from model development to real-world deployment.
Read My Story
Quantized FP16/INT8 CNN models on NVIDIA Jetson Orin Nano with CUDA for real-time, offline inference.
Wearable and field-sensor integration feeding live ML inference, with Django REST back-ends.
Django, PHP and Node.js back-ends with React or Bootstrap front-ends and MySQL / MongoDB.
CNN image classification for agriculture and health, from dataset curation to deployment.
Python scripts and n8n webhook pipelines that remove manual, recurring work.
Prompt engineering, LangChain and AI APIs wired into web systems.
Tools I use to build edge AI, IoT, and web systems.
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