You will get custom machine learning models and AI solutions for your business

5.0

Let a pro handle the details

Buy Machine Learning services from Pritesh, priced and ready to go.
5.0

Let a pro handle the details

Buy Machine Learning services from Pritesh, priced and ready to go.

Project details

I deliver not just machine learning models but end-to-end solutions that are scalable, optimized, and business-ready. My expertise in fine-tuning LLMs, NLP tasks, and deep learning ensures innovative and impactful results. With a proven track record of handling complex AI projects, I stand out by offering a collaborative and client-focused approach to problem-solving.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, ChatGPT, GitHub Copilot, NLTK, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, Tableau, TensorFlow
What's included
Service Tiers Starter
$100
Standard
$400
Advanced
$800
Delivery Time 3 days 7 days 14 days
Number of Revisions
122
Number of Model Variations
111
Number of Scenarios
222
Number of Graphs/Charts
245
Model Validation/Testing
Model Documentation
Data Source Connectivity
-
Source Code
Optional add-ons You can add these on the next page.
Additional Revision
+$100
Additional Model Variation (+ 3 Days)
+$100
Data Source Connectivity (+ 2 Days)
+$100

Frequently asked questions

5.0
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LL

Lucas L.
5.00
Jun 22, 2025
Python Flask script developer
Pritesh K.Status: Offline

About Pritesh

Pritesh K.Status: Offline
Forward Deployed AI Engineer | LLM Integration | Agentic AI Developer
5.0  (1 review)
Surat, India - 3:27 am local time
Your team already has data, workflows, and infrastructure in place — you don't need a rebuild, you need AI that fits into what's already working. That's where I come in.

I embed with teams to integrate LLMs and agentic systems into existing production environments, not standalone demos.

Recent results:

- Rebuilt a legacy MS Access system into a full-stack Django + Next.js application for a Canadian power utility, with zero data integrity loss
- Integrated an LLM into an existing communication workflow, cutting review time 15%
Built a fully local multi-agent system for internal HR/accounting queries — all inference on client infrastructure, zero external API calls, for sensitive data
- Delivered client-facing ML integration (auth + REST API) that led to a $500K contract
Fine-tuned 7–13B parameter models (LLaMA, Falcon) with 4–8 bit quantization, cutting compute cost 30%

Stack: Python, FastAPI/Django, Next.js, PyTorch/Transformers, vector search (Pinecone, ChromaDB), AWS/GCP/Azure.

6+ years shipping software, the last 2+ focused on deploying AI into environments that already exist. I learn your codebase and constraints first, then build — not the other way around.

Send me a message with what you're working with and I'll tell you honestly whether I'm a fit.

Steps for completing your project

After purchasing the project, send requirements so Pritesh can start the project.

Delivery time starts when Pritesh receives requirements from you.

Pritesh works on your project following the steps below.

Revisions may occur after the delivery date.

Client Provides Requirements

Share your project goals, data, and any specific preferences.

Initial Review and Plan

I review your requirements and propose the best machine learning approach, tools, and timeline.

Review the work, release payment, and leave feedback to Pritesh.