I will implement an ai research paper into your production codebase from scratch
Engineering Infinite Scale Grow With Us
About this Gig
Most teams can use an API. Very few can read an arXiv paper and ship it into production. That's where we come in.
We translate cutting-edge academic research into proprietary, optimized, production-ready systems giving your product a genuine technical moat that off-the-shelf tools simply cannot match.
This gig covers:
- Paper analysis and feasibility assessment
- Custom implementation in PyTorch / TensorFlow / JAX
- Optimization for your hardware and latency constraints
- Integration into your existing codebase or infrastructure
- Benchmarking and evaluation against baselines
- Full technical documentation and handoff
Domains: Computer vision · NLP · Deep learning · Reinforcement learning · Multimodal AI · Federated learning · Probabilistic ML
Published researcher with a track record of shipping research into real products. Let's turn your whitepaper into a weapon.
In the gig, API Integration = integration into your current application
FAQ
I have a specific arXiv paper I want implemented. Can you do that?
Yes, that's exactly what this gig is for. Share the paper link when ordering and we'll assess feasibility and scope before starting.
What if the paper doesn't have public code — can you still implement it?
Yes. We read and implement directly from the paper's methodology, reproducing results from scratch when no reference code exists.
How is this different from just using a pre-built ML library?
Libraries give you generic implementations. We give you a version optimized for your data, your hardware, and your latency constraints — with a genuine technical moat.
Do I need to provide training data?
For most implementations, yes. If you don't have data yet, we can discuss synthetic data generation or publicly available datasets as a starting point.
Will I own the code?
100%. Full IP transfer on delivery. No licenses, no lock-in.
