You will get AI data extraction from emails, PDFs, or documents
Project details
This project is focused on turning unstructured business content into clean, usable data.
I do not just summarize documents. I design the extraction around your actual fields, output format, and workflow needs. The goal is to produce structured data that can be reviewed, exported, stored, or sent into another system.
My background is 10+ years in production software engineering, so I focus on clear requirements, reliable implementation, structured JSON outputs, readable code, and handoff documentation.
I do not just summarize documents. I design the extraction around your actual fields, output format, and workflow needs. The goal is to produce structured data that can be reviewed, exported, stored, or sent into another system.
My background is 10+ years in production software engineering, so I focus on clear requirements, reliable implementation, structured JSON outputs, readable code, and handoff documentation.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Content Creation, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Gradio, Hugging Face, StreamlitAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Extra Extraction Field
(+ 1 Day)
+$50
Extra Document Type
(+ 2 Days)
+$150
Extra Integration
(+ 2 Days)
+$150
7 reviews
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WT
Wissam T.
Feb 2, 2015
Clever Nudge Sample App - iOS & Android
Tabish was very professional and did do everything he can to deliver the project on time and as expected. It was easy to talk to him and he is very reliable.
MS
Marwan S.
Mar 10, 2011
Flex-Rails and Android Developer
Tabish did an excellent job on this project and I will certainly be hiring him again in the future. He is an extremely skilled programmer and technologist, a great communicator, and a trustworthy and reliable team player and leader. He is especially good at analyzing complex technical problems and devising creative solutions to address them. I can't say enough about how talented this guy is!
YP
Yossi P.
Mar 10, 2011
Flex Development
I've been working with Tabish for almost a year. In this period Tabish develop several Flex modules including UI and logic.
I can tell that Tabish is very professional, experienced and highly committed Flex developer. He can be trusted to provide high quality code and to quickly understands the requirements.
Therefore I recommend hiring him for any Flex development project (and probably also other technologies)
I can tell that Tabish is very professional, experienced and highly committed Flex developer. He can be trusted to provide high quality code and to quickly understands the requirements.
Therefore I recommend hiring him for any Flex development project (and probably also other technologies)
YP
Yossi P.
Mar 10, 2011
Create Flex screens and extend existing ones
It's not the first time I've been working Tabish. As on previous jobs, Tabish did a very good work. Worked long hours, days and nights. Responded very fast and provided high quality deliverables.
AW
Aaron W.
Mar 10, 2011
Adobe Flex Designer
About Tabish
AI Engineer | LLM Apps | OpenAI API | Automation | FastAPI
Hutto, United States - 11:16 pm local time
My background is 10+ years in software engineering, where I’ve designed and shipped large-scale production applications with a strong focus on architecture, reliability, scalability, and user experience. I now apply that engineering background to AI engineering, LLM integrations, applied machine learning workflows, and business automation systems.
I help startups and businesses build:
* AI-powered applications
* ChatGPT/OpenAI API integrations
* Claude/OpenAI workflow automations
* AI assistants and copilots
* workflow automation systems using APIs, webhooks, and business tools
* Retrieval-Augmented Generation (RAG) applications
* intelligent backend services
* structured AI pipelines with JSON outputs
* AI-enhanced mobile applications
* data extraction and summarization systems
* internal business tools powered by AI
* Airtable, Google Sheets, Slack, Gmail, Zapier, Make, and n8n-style automations
My focus is on practical, production-oriented AI systems that integrate into real products and workflows — not just demos or one-off prompts. I care about clean architecture, reliable API integrations, structured outputs, error handling, and clear handoff documentation.
I work with technologies including Python, FastAPI, OpenAI APIs, Claude APIs, LangChain, LangGraph, scikit-learn, REST APIs, PostgreSQL, SQLite, workflow automation tools, and Android/Kotlin. I also build AI agent workflows, structured output pipelines, and backend systems that support scalable AI applications.
What clients value when working with me:
* strong engineering discipline
* clear and reliable communication
* scalable architecture thinking
* rapid iteration and delivery
* production-quality implementation
* ability to connect business needs with technical execution
* practical implementation instead of overcomplicated AI solutions
One of my biggest strengths is bridging:
* AI + real software engineering
* backend systems + user-facing products
* automation + business workflows
* mobile applications + intelligent services
* APIs + reliable AI-powered operations
I am available for:
* AI MVP development
* AI integrations
* intelligent automation systems
* AI backend services
* AI-powered SaaS features
* internal AI tools
* RAG applications
* AI-enhanced mobile experiences
* prototype-to-production development
* fixed-scope AI automation projects
* OpenAI/Claude API workflow implementation
For smaller projects, I can also help define and build a focused proof-of-concept first: one clear input, one AI workflow, one useful output, and documentation so the system can be tested, maintained, and expanded.
Steps for completing your project
After purchasing the project, send requirements so Tabish can start the project.
Delivery time starts when Tabish receives requirements from you.
Tabish works on your project following the steps below.
Revisions may occur after the delivery date.
Review documents and fields
I review your sample content, required extraction fields, output format, and business rules.
Confirm extraction structure
I confirm the fields, JSON/CSV/table structure, edge cases, and expected output before implementation.