FAQs: AI/ML Engineering Services in Sanpada
A model that's 95% accurate in a notebook and never reaches production is worth nothing. For Sanpada teams, I build the full pipeline — training, deployment, monitoring — so ML actually ships.
- Free strategy call
- Transparent pricing
- No lock-in contracts
- Proven results
Get a free strategy call
Tell me about your goals — I'll reply within 24 hrs.
Everything you need to know
Still have a question that isn't answered here? Reach out directly — I respond to every inquiry personally.
Ask a question01Can you deploy on our existing cloud in Sanpada?
Yes — AWS, GCP, or Azure; I fit into your existing infrastructure rather than forcing a new stack.
02What ML frameworks do you use?
scikit-learn, PyTorch, and XGBoost, depending on the problem — I pick the simplest thing that works reliably.
03Do you do computer vision / NLP work for Sanpada clients?
Yes, both — including fine-tuning smaller models where a full LLM isn't the right tool.
04How do you avoid model rot?
Drift monitoring, scheduled retraining, and a documented pipeline your team can run without me.
05What does AI/ML engineering cost for a Sanpada business?
Pricing depends on model complexity and how much pipeline and MLOps work is needed around it — a structured-data model on existing clean data costs less than a deep learning system with new data infrastructure. Share your Sanpada business's setup for a specific quote.
06How is this different from hiring an in-house ML engineer in Sanpada?
An in-house hire in Sanpada takes months to recruit and typically specializes in either modeling or infrastructure, not both; this delivers the model, the CI/CD pipeline and the monitoring together, with documentation so your team can eventually own it.
07How long until a model is live in production for our Sanpada business?
A first production deployment, including drift monitoring, typically takes 6-10 weeks depending on data readiness and how much of your Sanpada business's existing infrastructure the pipeline needs to integrate with.
08Is this a good fit if we only have a rough model idea, not clean data yet?
If your Sanpada business has no usable historical data yet, the first step has to be data collection and pipelining — modeling can't meaningfully start before that. This engagement can include that groundwork, but it extends the timeline.
09What happens in the first week for a Sanpada client?
The first week defines the exact prediction task and success metric for your Sanpada business, and audits what data already exists to support it, before any model training begins.