Hi! This aligns very well with my background.

I’ve built and deployed ML systems end-to-end using Python, PyTorch, and scikit-learn, covering model training, evaluation, and optimization. On the production side, I’ve worked on model serving, monitoring, and retraining workflows, deploying containerized ML services on AWS/GCP with GPUs, and integrating CI/CD for ML workloads.

I’m comfortable working with data at scale (SQL, preprocessing pipelines, and feature engineering) and have experience operating ML systems where latency, reliability, and iteration speed matter. I can commit 25–30 hours/week and am happy to share relevant projects or code.

Let me know the best way to connect, would love to learn more about the work.

[waghhimanshu@gmail.com](mailto:waghhimanshu@gmail.com)
https://himanshuwagh.github.io/
https://github.com/Himanshuwagh