You will get A Document Intelligence Pipeline | PDF, OCR & NLP in Python
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Top Rated
Project details
š Your Documents Hold Data. I Turn Them Into Structured, Usable Info.
Every business has documents piling up ā invoices, contracts, forms, receipts. Manual processing takes hours. I build Python pipelines that extract and understand documents automatically.
What I extract:
ā Text & tables from PDFs ā scanned or handwritten
ā Structured fields ā names, dates, amounts, IDs
ā Entities ā people, companies, locations
ā Sentiment from customer feedback
ā Categories & topics for auto-routing
ā Summaries of long documents
How I build it:
ā OCR ā Tesseract, PaddleOCR, Azure Form Recognizer
ā NLP ā spaCy, Hugging Face, LangChain
ā Custom models fine-tuned on your docs
ā Layout-aware parsing for tables & forms
ā Confidence scoring for low-quality flags
ā Output to DB, JSON, CSV, or API
Problems I've solved:
ā Extract 10,000 invoices into a spreadsheet
ā Auto-classify 50K support tickets
ā Parse resumes and rank candidates
ā Extract clauses from contracts
ā Turn medical PDFs to patient records
What you get:
ā Working Python pipeline with clean code
ā Docs & walkthrough included
ā Full source code ā you own everything
š© Contact me on Upwork before placing an order.
Every business has documents piling up ā invoices, contracts, forms, receipts. Manual processing takes hours. I build Python pipelines that extract and understand documents automatically.
What I extract:
ā Text & tables from PDFs ā scanned or handwritten
ā Structured fields ā names, dates, amounts, IDs
ā Entities ā people, companies, locations
ā Sentiment from customer feedback
ā Categories & topics for auto-routing
ā Summaries of long documents
How I build it:
ā OCR ā Tesseract, PaddleOCR, Azure Form Recognizer
ā NLP ā spaCy, Hugging Face, LangChain
ā Custom models fine-tuned on your docs
ā Layout-aware parsing for tables & forms
ā Confidence scoring for low-quality flags
ā Output to DB, JSON, CSV, or API
Problems I've solved:
ā Extract 10,000 invoices into a spreadsheet
ā Auto-classify 50K support tickets
ā Parse resumes and rank candidates
ā Extract clauses from contracts
ā Turn medical PDFs to patient records
What you get:
ā Working Python pipeline with clean code
ā Docs & walkthrough included
ā Full source code ā you own everything
š© Contact me on Upwork before placing an order.
AI Development Type
Deep Learning, Knowledge Representation, Model TuningAI Tools
Keras, MLflow, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$250
|
Standard
$700
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 6 days | 14 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | ||
Source Code | |||
Taxonomy | - |
Frequently asked questions
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Stephanie D.
Aug 13, 2025
UX/UI Developer
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May 2, 2023
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The Alian team created a beautiful website for the B2B local business. We'll continue to work with their team on projects like this.
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Ben H.
Jul 19, 2022
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Ahmad Y.
Feb 21, 2022
Web development - WordPress
Very good thank you
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Jun 15, 2021
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Great
About Rasheshkumar Harsukhbhai
Python & AI/ML Engineer | LLM, RAG, NLP, Deep Learning & Scraping
99%
Job Success
Anand, IndiaĀ - 4:46 am local time
I don't build demos or scripts that break in production. I build AI systems, ML models, and data pipelines that businesses run on every single day ā reliably, at scale, with real business impact.
Startups, agencies, research labs, and enterprise clients hire me to solve one core problem ā how do we turn our data into something intelligent, automated, and profitable?
Answer: Python + AI/ML + real engineering discipline.
Fine-tuned LLMs, RAG chatbots trained on your knowledge base, scrapers pulling millions of pages daily, computer vision in production, multi-agent AI crews ā I've built it, shipped it, and maintained it.
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š§ AI, LLMs, RAG & Agentic Systems :
ā¢ LLM Integration ā OpenAI GPT-4o, Claude, Gemini, LLaMA, Mistral, DeepSeek
ā¢ RAG Pipelines ā ingestion, chunking, reranking, hybrid search, HyDE
ā¢ Agentic AI ā LangChain, LangGraph, CrewAI, OpenAI Agents SDK, MCP
ā¢ Multi-Agent Workflows ā supervisor-worker, crews, human-in-the-loop
ā¢ Fine-Tuning ā LoRA, QLoRA, PEFT, DPO on custom domain data
ā¢ Vector Search ā Pinecone, Weaviate, Chroma, pgvector, FAISS, Qdrant
ā¢ Prompt Engineering, Guardrails, Structured Outputs
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š¤ Machine Learning & Deep Learning :
ā¢ Supervised, Unsupervised & Reinforcement Learning
ā¢ Classification, Regression, Clustering, Anomaly Detection
ā¢ Time-Series Forecasting (Prophet, LSTM, XGBoost)
ā¢ Recommendation Systems & Ranking Models
ā¢ Computer Vision ā YOLO, Detectron2, OCR, Segmentation
ā¢ Deep Learning ā CNNs, LSTMs, Transformers, GANs, Diffusion
ā¢ Transfer Learning, Quantization, Hyperparameter Tuning
Frameworks: TensorFlow, PyTorch, Keras, JAX, Scikit-Learn, XGBoost, LightGBM, Hugging Face
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š Natural Language Processing (NLP) :
ā¢ Text Classification, Sentiment & Emotion Analysis
ā¢ NER, Relation Extraction, Topic Modeling
ā¢ Summarization, Translation, Q&A Systems
ā¢ Document Intelligence ā PDF parsing, table extraction, OCR
ā¢ Speech ā Whisper, ElevenLabs, Deepgram
Libraries: spaCy, NLTK, Hugging Face Transformers, LangChain, LlamaIndex, Haystack
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šøļø Web Scraping & Data Extraction :
ā¢ Enterprise scrapers ā millions of pages, zero downtime
ā¢ Anti-bot bypass ā Cloudflare, DataDome, PerimeterX
ā¢ CAPTCHA solving, fingerprint spoofing, TLS fingerprinting
ā¢ Proxy rotation ā residential, datacenter, mobile IPs
ā¢ JavaScript sites, SPAs, infinite scroll, API reverse engineering
ā¢ Scheduled ETL pipelines with retry logic & monitoring
Tools: Scrapy, Selenium, Playwright, Puppeteer, BeautifulSoup, aiohttp
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āļø Backend & API Development :
ā¢ FastAPI ā high-performance async APIs with auto-docs
ā¢ Django & DRF ā full-featured web applications
ā¢ Flask ā lightweight microservices
ā¢ REST, GraphQL & gRPC APIs
ā¢ WebSockets, async programming, Celery, Redis Queue
ā¢ Auth ā JWT, OAuth 2.0, SSO, API keys
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š Data Engineering & Visualization :
ā¢ Data Cleaning, Feature Engineering, Statistical Testing
ā¢ ETL Pipelines ā Airflow, Prefect, Dagster
ā¢ Big Data ā Pandas, Dask, PySpark, Polars
ā¢ Dashboards ā Streamlit, Dash, Gradio, Plotly
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šļø Databases :
ā¢ SQL ā PostgreSQL, MySQL, ClickHouse, TimescaleDB
ā¢ NoSQL ā MongoDB, Firebase, Redis, DynamoDB
ā¢ Vector DBs ā Pinecone, Weaviate, Chroma, pgvector, Qdrant
ā¢ Warehouses ā BigQuery, Snowflake, Redshift, Databricks
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āļø Cloud, DevOps & MLOps :
ā¢ AWS (SageMaker, Bedrock, Lambda), GCP (Vertex AI), Azure ML
ā¢ Docker, Kubernetes, Terraform, CI/CD
ā¢ MLflow, W&B, DVC, BentoML for model deployment
ā¢ Monitoring ā Prometheus, Grafana, Sentry
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š” Real Problems I Solve :
ā¢ "Build a RAG chatbot trained on our 10,000 internal docs"
ā¢ "Scrape 500K product listings daily without getting blocked"
ā¢ "Fine-tune an LLM on our support tickets for auto-responses"
ā¢ "Predict customer churn 30 days before it happens"
ā¢ "Extract structured data from thousands of PDFs and invoices"
ā¢ "Build a multi-agent AI crew for our research workflow"
ā¢ "Detect defects on our assembly line with computer vision"
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š Industries: Finance, Healthcare, E-commerce, Real Estate, Marketing, Logistics, Legal, EdTech, SaaS, Manufacturing.
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ā Why Clients Trust Me :
ā¢ 8+ years of production Python, ML & AI engineering
ā¢ End-to-end delivery ā data to model to deployment to monitoring
ā¢ Deep expertise across LLMs, RAG, NLP, scraping, DL & MLOps
ā¢ Clean, tested, documented code ā not throwaway scripts
ā¢ Business-first thinking ā right questions before writing code
ā¢ Clear communication, honest timelines, long-term reliability
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š© Send me a message with your project ā let's turn your data into your competitive advantage.
Steps for completing your project
After purchasing the project, send requirements so Rasheshkumar Harsukhbhai can start the project.
Delivery time starts when Rasheshkumar Harsukhbhai receives requirements from you.
Rasheshkumar Harsukhbhai works on your project following the steps below.
Revisions may occur after the delivery date.
Document Review & Pipeline Design
Review sample documents, understand extraction goals, identify formats (text PDF vs scanned), and design the OCR + NLP pipeline approach. Deliver a plan for your approval.
Build Extraction & NLP Pipeline
Set up OCR for scanned files, build layout-aware parsing for tables/forms, apply NLP for entities and classification, and structure output to your preferred format.