You will get a natural language processing NLP analysis and systems

5.0

Let a pro handle the details

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

Let a pro handle the details

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

Project details

Please discuss the project before placing an order.

I will provide you following:
- Sentimental Analysis
- SEO using NLP
- Text Analysis
- Ecommerce Text Analysis
- All type of Chatbots
- Topic extraction from text
- Natural Language Generation
- Aspect Based Sentimental Analysis

My gig includes the following concepts of natural language processing
-Text Classification
- Machine Translation
- Seq2Seq Models
- N-Gram
- WordNet
- Text Similarity
- Text Summarization
- Automatic text generation
- CNN for NLP
- RNN
- LSTM
- GPT-Neo
- GPT-J

Natural language processing nowadays is an important technique to evaluate what customers are saying about your product.
I will use python for your NLP projects and will provide you complete details about your project including a small presentation so you can understand what I have done with your project.


Why you have to choose me?
1- Complete work on time
2- The presentation so you can understand the project
3- Source Code
4- Life-time support on your NLP project.
What's included
Service Tiers Starter
$70
Standard
$250
Advanced
$500
Delivery Time 2 days 4 days 6 days
Number of Revisions
UnlimitedUnlimitedUnlimited
Number of Model Variations
2710
Number of Scenarios
123
Number of Graphs/Charts
1410
Model Validation/Testing
Model Documentation
Data Source Connectivity
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Model Variation (+ 1 Day)
+$100
Additional Scenario (+ 1 Day)
+$100
Additional Graph/Chart (+ 1 Day)
+$10

Frequently asked questions

5.0
4 reviews
100% Complete
1% Complete
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SB

Sunshine B.
5.00
May 2, 2026
Build MoodPing as a focused, production-ready MVP Thank you team Ahtesham for great delivery, paying attention to details and also supporting changing requirements. The project was a success and it generated the value i was hoping for. Appreciate it.

MS

Muhammad S.
5.00
Dec 10, 2023
Prompt Engineer for Real Estate Platform

SS

Sona S.
5.00
Apr 12, 2023
Prompt Engineering for Real Estate Content Generation System I am extremely impressed with the work that Muhammad has done. His technical expertise and attention to detail are exceptional, and he delivered high-quality work on time and within budget.

Throughout our project, Muhhamad demonstrated excellent communication skills, always keeping me informed of his progress and seeking clarification when necessary.

Overall, I highly recommend Muhhamad to anyone looking for a talented and reliable prompt engineer. His professionalism, dedication, and technical skills make him an asset to any project.

MG

Mitul G.
4.80
Aug 10, 2021
Automated Clustering of keywords into logical hierarchy Good work on building a model and presenting results ina timely fashion.
Muhammad Ahtesham U.Status: Offline

About Muhammad Ahtesham

Muhammad Ahtesham U.Status: Offline
AI Agents That Survive Real Enterprise Data | RAG, LangGraph, Python
5.0  (4 reviews)
Lahore, Pakistan - 9:29 pm local time
I build production AI agents and RAG pipelines that hold up on real enterprise data. Recent work: cut research time 80% for a Luxembourg fund manager, lifted reply rates 17% for a sales team, and shipped AI tooling on a platform serving Walmart.

Most AI projects don't fail at the model. They fail at the integration layer, the agent works in the demo, then breaks on messy documents, edge cases, or scale. That gap is where I work.

Most of my work is off-platform and long-term, which is why my Upwork hours are low. I'm new here, not new to this.

WHAT I BUILD

Agentic workflows and multi-agent systems, autonomous pipelines that make real decisions, run a workflow end to end, and know when to escalate to a human. Built on LangGraph, LangChain, and LlamaIndex with deterministic routing rather than guesswork.

Enterprise RAG: pipelines retrieval connected to real sources (PDFs, email, databases, APIs), tuned for accuracy and data security. Not a vector search demo.

Full-stack AI SaaS: React and Next.js front ends over Python APIs (FastAPI, Django), multi-tenant architecture, and Celery plus Redis for async AI jobs.

Enterprise integrations: agents that live inside the tools a business already runs: Microsoft Graph and Outlook, Google Workspace, Jira, WhatsApp Business, Stripe.

RECENT RESULTS

Nexusaims (fintech / asset management) architected an AI investment research suite for a Luxembourg fund manager, unifying unstructured documents, email, and financial records into a single agent pipeline. Cut fund research time by 80%.

Engage3 (sales tech) built an AI outreach engine that researches prospects and generates personalized email and LinkedIn sequences. Deployed to an 8-person sales team; reply rates up 17%.

Dexi (retail intelligence) senior technical IC on a web-scraping and data platform serving enterprise clients including Walmart. Owned integrations, content pipelines, and AI tooling.

STACK

Python, FastAPI, Django, LangGraph, LangChain, LlamaIndex, Pinecone, Weaviate, OpenAI, Claude, React, Next.js, TypeScript, AWS, Docker, Terraform, n8n.

If your AI project is stalled because the agent is clever but the data layer isn't holding up, that's usually where I help most. Message me for a 15-minute technical scoping call.

Steps for completing your project

After purchasing the project, send requirements so Muhammad Ahtesham can start the project.

Delivery time starts when Muhammad Ahtesham receives requirements from you.

Muhammad Ahtesham works on your project following the steps below.

Revisions may occur after the delivery date.

Idea Validation

Validate the concept and check its viability.

Conceptulization

Let’s identify the first version’s core features and set the balance between dynamism and simplicity that your users will embrace.

Review the work, release payment, and leave feedback to Muhammad Ahtesham.