I'm an AI/ML Engineer obsessed with building intelligent systems that not only work — but learn, adapt, and scale.
- Models that solve real-world problems
- Clean, explainable code (Python + PyTorch / TensorFlow)
- Data pipelines that flow smoothly
- Deployments that just work (FastAPI + Docker + GCP)
I work across the full AI/ML stack — from data collection and preprocessing to model training, evaluation, and deployment.
I explore, I experiment, I deploy.
I collaborate with cross-functional teams, dive into user feedback, and do what it takes to ship meaningful solutions.
I come from a science background and discovered coding through curiosity — but found purpose in using it to build intelligent systems.
What started as experiments with small models turned into a full-blown passion for building things that think.
I began coding in my late teens and started working on real-world ML projects soon after. Since then, I haven’t looked back.
- Learning in public
- Sharing my progress
- Contributing to open-source
- Collaborating with communities
Still learning. Still building. Still shipping.
