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You will get an AI email, lead, or message classifier using OpenAI

Tabish M.Status: Offline
Tabish M.
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Generative AI services from Tabish, priced and ready to go.
Tabish M.Status: Offline
Tabish M.
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Generative AI services from Tabish, priced and ready to go.

Project details

This project is focused on practical business classification, not generic chatbot behavior.

I build the workflow around your actual message types, categories, business rules, and desired output format. The goal is to turn messy incoming text into structured, useful information that can support routing, prioritization, reporting, or follow-up.

My background is 10+ years in production software engineering, so I focus on clear requirements, structured JSON outputs, reliable implementation, readable code, and handoff documentation.
AI Algorithms
Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis
AI Development Language
Python
AI Tools
Gradio, Hugging Face, Streamlit
AI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA
What's included
Service Tiers Starter
$200
Standard
$400
Advanced
$750
Delivery Time 3 days 6 days 8 days
Number of Revisions
122
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
Image Upscaling
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MLOps
-
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Model Deployment
-
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Model Documentation
Model Monitoring
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Model Testing & Optimization
-
Model Tuning
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Natural Language Processing
NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
Source Code
Optional add-ons You can add these on the next page.
Additional Revision
+$50
Extra Output Field (+ 1 Day)
+$75
Extra Integration (+ 2 Days)
+$150
Tabish M.Status: Offline

About Tabish

Tabish M.Status: Offline
AI Engineer | LLM Apps | OpenAI API | Automation | FastAPI
Hutto, United States - 3:22 pm local time
I build AI-powered software systems, intelligent automations, and production-ready backend applications.

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 message workflow

I review your message type, sample inputs, desired categories, output fields, and business rules.

Confirm classifier design

I confirm the classification logic, expected structured output, and any edge cases before implementation.

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