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You will get Custom Document extraction model using state of the art NLP.

Divyanshu C.Status: Offline
Divyanshu C.
Preview image

Let a pro handle the details

Buy Machine Learning services from Divyanshu, priced and ready to go.
Divyanshu C.Status: Offline
Divyanshu C.
Preview image

Let a pro handle the details

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

Project details

I will create a custom OCR model for your use case. I have experience working as a Machine learning Engineer in OCR at a Y Combinator-backed startup that serves multiple insurance companies with up to 50,000 requests served daily.
Machine Learning Tools
deeplearn.js, Python Scikit-Learn, PyTorch, Tesseract OCR, Vertex AI
What's included
Service Tiers Starter
$120
Standard
$350
Advanced
$500
Delivery Time 6 days 14 days 30 days
Number of Revisions
124
Model Validation/Testing
Model Documentation
Data Source Connectivity
-
Source Code
-
-
Divyanshu C.Status: Offline

About Divyanshu

Divyanshu C.Status: Offline
AI Engineer & Data Science Leader | Production LLM/RAG Systems
Gurgaon, India - 1:56 am local time
I build AI-powered applications that go beyond simple chatbot wrappers — systems with real context assembly, session memory, and intelligent retrieval that serve thousands of users daily.I've architected an agentic AI chatbot using LLMs and RAG that handles multi-context queries for 1,500+ daily active users, improving query resolution time by 40%. I've led teams of up to 15 across data science and engineering, built document intelligence pipelines processing millions of documents at a YC-backed startup, and developed deep learning systems for medical imaging in clinical workflows.What I bring to projects: the ability to design the full pipeline from database schema to context engine to deployed product — not just the AI layer in isolation.Core stack: Python, JavaScript/TypeScript, PostgreSQL, MongoDB, React, AWS (SageMaker, Lambda, EC2), GCP (Vertex AI), Cloudflare Workers, Docker, LangChain, PyTorch, Hugging FaceWhat I build well:
→ LLM-powered applications with custom context assembly and RAG
→ Agentic AI systems with multi-step reasoning
→ Automated content and data pipelines (NLP summarization, classification, generation)
→ Production ML infrastructure with CI/CD across AWS, GCP, and Cloudflare
→ End-to-end MVPs — from architecture to deployment3+ years of professional experience across AI startups. I work iteratively, communicate clearly, and ship production-grade systems.

Steps for completing your project

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

Delivery time starts when Divyanshu receives requirements from you.

Divyanshu works on your project following the steps below.

Revisions may occur after the delivery date.

Analysis of Documents

This step involves me assessing the documents and expected responses. Also, assessing the viability of the project. Your domain knowledge would be required or I will research that on my own as well.

Requirement specifications

We will discuss the compute resources, and the quality of the OCR backend in terms of open-source or highly scalable third-party OCR techniques.

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