You will get ChatGPT API integration for scalable AI-powered applications

Shabir A.Status: Offline
Shabir A. Shabir A.
4.9
Top Rated

Let a pro handle the details

Buy Generative AI services from Shabir, priced and ready to go.
Shabir A.Status: Offline
Shabir A. Shabir A.
4.9
Top Rated

Let a pro handle the details

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

Project details

Hello,
Muhammad Shabir is here to take your business to the next level with AI-powered solutions. Look no further than my LLM Development Services!

As a LLM developer, I can provide you with a wide range of services, from chatbot development to content creation and data analysis. Whether you need a chatbot that can handle customer queries, personalized product recommendations, or content that resonates with your target audience, I can help. With years of experience in AI development, I can build and integrate the perfect solution for your business, ensuring that it meets your specific needs and delivers results.

So, what are you waiting for? If you're looking for cutting-edge AI solutions that can help take your business to the next level, look no further than my LLM Development Services at $30/hr. With my affordable rates and top-notch service, I'm the perfect partner for your next project. Contact me today to learn more!
AI Algorithms
Large Language Model
AI Applications
AI Chatbot
AI Models
AlphaCode, BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, Jurassic-2, LLaMA, Midjourney AI, Stable Diffusion, Whisper
What's included
Service Tiers Starter
$250
Standard
$300
Advanced
$350
Delivery Time 2 days 3 days 5 days
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
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NLP Tokenization
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Pre-Training
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Prompt Engineering
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Setup File
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Source Code
4.9
36 reviews
92% Complete
6% Complete
3% Complete
1% Complete
(0)
1% Complete
(0)

WM

Will M.
5.00
Jun 5, 2026
Full Stack Development & AI engineer Very skilled developer

EG

Eric G.
5.00
Jun 1, 2026
Automation, Integration & Chatbot Developer (APIs, Databases, AI Workflows) Was very good working with Shabir. He communicated well, and delivered on what was requested/agreed on. Accepted feedback nicely and made adjustments at my request. A good experience.

JB

Jeff B.
4.00
May 18, 2026
Hourly Programming Work Good guy to work with.

TO

Teona O.
5.00
May 14, 2026
illustration of book perfect work done! recommend everyone

WM

Will M.
5.00
May 12, 2026
Working on Application
Shabir A.Status: Offline

About Shabir

Shabir A.Status: Offline
AI/ML & Full-Stack Engineer | SaaS, LLMs, RAG, AI Agents, .NET Core
100% Job Success
4.9  (36 reviews)
Lahore, Pakistan - 2:07 am local time
𝐇𝐚𝐯𝐞 𝐚𝐧 𝐮𝐧𝐟𝐢𝐧𝐢𝐬𝐡𝐞𝐝, 𝐛𝐫𝐨𝐤𝐞𝐧, 𝐬𝐥𝐨𝐰, 𝐨𝐫 𝐮𝐧𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭?

I quickly understand existing codebases, identify critical bottlenecks, and fix problems without unnecessary rewrites. I help businesses turn AI prototypes and existing systems into stable, scalable products ready for real users.

With 10+ years of experience across software engineering, AI, and technical leadership, I am a Senior AI Engineer specializing in AI agents, RAG systems, LLM applications, and production AI architecture. I've built systems processing 100,000+ documents, reduced RAG latency by 40% and LLM token usage by 50%, and engineered real-time Voice AI systems with under 3-second response latency.

I don't just build proofs of concept. I architect, build, troubleshoot, and optimize AI systems for reliability, scalability, security, and measurable production performance, while supporting systems beyond initial delivery as they evolve.

𝐌𝐲 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝

Pegasus AI Platform
Architected a multimodal AI platform combining conversational AI, voice agents, vision, browser automation, and node-based agent workflows using FastAPI, Next.js, LangChain, LangGraph, and Ollama.

Enterprise RAG System
Built RAG platforms capable of searching and reasoning across 100,000+ knowledge-base documents, reducing latency by 40% and token usage by 50% through retrieval and orchestration optimization.

AI Agents & Automation
Built multi-agent workflows using LangGraph, n8n, browser automation, and custom tools to automate complex business processes and reduce unnecessary LLM calls.

Voice AI
Built real-time Voice AI systems achieving under 3-second response latency, with ongoing optimization toward sub-200ms conversational latency.

Large-Scale Data Processing
Built asynchronous infrastructure processing 30,000+ marketplace orders per synchronization using AWS Lambda, SQS, PostgreSQL, and Supabase.

Enterprise SaaS
Leading development of a DocuSign-style eSignature platform with secure workflows, audit trails, role-based permissions, PDF signing, and enterprise document management.

𝐇𝐨𝐰 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩

Fix, modernize, or scale existing AI applications
Turn AI prototypes into production systems
Build AI agents and multi-agent workflows
Design and optimize RAG pipelines
Integrate LLMs into existing products
Reduce LLM costs, latency, and unnecessary inference
Build scalable backend APIs and AI infrastructure
Automate workflows with n8n and custom services
Integrate APIs, databases, and business systems
Architect AI-powered SaaS products

𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞

AI: Agentic AI, Multi-Agent Systems, RAG, LLMs, Generative AI, Deep Learning, Computer Vision, NLP, Fine-Tuning, MLOps.

LLM Stack: OpenAI, Claude, Gemini, LLaMA, LangChain, LangGraph, ReAct, Hugging Face, vector databases, prompt engineering.

Full-Stack & Backend:
Python, FastAPI, Django, Flask, Node.js, TypeScript, JavaScript, React, Next.js, Vue, .NET, GraphQL, REST APIs.

Data & Distributed Systems:
PostgreSQL, Redis, MongoDB, SQL Server, MySQL, Spark, Kafka, Databricks, ETL pipelines, asynchronous processing.

AI & SaaS Integrations:
OpenAI, Claude, Gemini, Stripe, Twilio, Meta APIs, Google APIs, Slack, Zoom, Asana, and custom third-party integrations.

Cloud & AI Infrastructure:
AWS, Bedrock, SageMaker, Lambda, S3, GCP, Vertex AI, BigQuery, Azure, DigitalOcean, Docker, Kubernetes, Terraform, CI/CD.

𝐇𝐨𝐰 𝐈 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬

I start by understanding the business problem, existing architecture, data, and bottlenecks before recommending changes. The goal is simple: make the system work reliably in the real world—not just in a demo.

If your AI system is unfinished, underperforming, difficult to maintain, or ready to move from prototype to production, send me the details. I'll help identify the problem and the most practical path forward.

Steps for completing your project

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

Delivery time starts when Shabir receives requirements from you.

Shabir works on your project following the steps below.

Revisions may occur after the delivery date.

Collecting the Project requirements.

Create the application design with UI/UX and create the application flow.

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