You will get Custom Vision Language Model
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Project details
Unlike standard AI wrappers that simply call external APIs, this project features a custom-engineered Vision Transformer (ViT) architecture built from the ground up in PyTorch.
Why this matters:
1- Full Transparency (XAI): Our custom implementation includes built-in Attention Map Visualization, allowing you to see exactly where the AI is looking before it makes a decision. This level of 'Explainable AI' is critical for high-stakes industries like medical or industrial automation.
2- Production-Ready Infrastructure: This isn't just a script; it’s a complete system. With Dockerized CPU/GPU support and IP-based rate limiting, the app is engineered to be deployed immediately on AWS with scalability and security in mind.
3- Hybrid Versatility: By combining a custom ViT with pretrained BLIP models, we deliver the perfect balance of architectural flexibility and state-of-the-art performance in image captioning and Visual Q&A."
4- Visual Backbone: A custom-implemented ViT-Base that processes images as a sequence of patches, mimicking how LLMs process words.
Lets connect and start building!!
Why this matters:
1- Full Transparency (XAI): Our custom implementation includes built-in Attention Map Visualization, allowing you to see exactly where the AI is looking before it makes a decision. This level of 'Explainable AI' is critical for high-stakes industries like medical or industrial automation.
2- Production-Ready Infrastructure: This isn't just a script; it’s a complete system. With Dockerized CPU/GPU support and IP-based rate limiting, the app is engineered to be deployed immediately on AWS with scalability and security in mind.
3- Hybrid Versatility: By combining a custom ViT with pretrained BLIP models, we deliver the perfect balance of architectural flexibility and state-of-the-art performance in image captioning and Visual Q&A."
4- Visual Backbone: A custom-implemented ViT-Base that processes images as a sequence of patches, mimicking how LLMs process words.
Lets connect and start building!!
Machine Learning Tools
NVIDIA AI Platform, Python, PyTorch, TensorFlowWhat's included $1,250
These options are included with the project scope.
$1,250
- Delivery Time 7 days
- Number of Revisions 5
- Number of Model Variations 2
- Number of Scenarios 3
- Number of Graphs/Charts 3
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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JC
Jonathan C.
Jan 2, 2026
Experienced NLP Developer for LangChain and Chatbot Development
RP
Raquel Flora P.
Aug 22, 2025
Looking for Python | Fastapi | Ai chatbot backend developer
all are great
AK
Aamir K.
May 27, 2025
Expert needed in OpenAI Realtime API for quick consultation and web development
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Rishil B.
Aug 13, 2024
30 minute consultation
About Muhammad
AI Architect | GenAI & AWS Cloud | SaaS & Agentic AI Specialist
100%
Job Success
Islamabad, Pakistan - 6:55 pm local time
I help businesses move beyond AI prototypes by designing and deploying secure, scalable, and cost-efficient AI solutions that deliver measurable business impact. My expertise includes AI agent orchestration, Retrieval-Augmented Generation (RAG), multi-model LLM integrations, and cloud-native AI infrastructure.
I work with modern AI frameworks and technologies including LangChain, LangGraph, OpenAI, Claude, Ollama, OpenRouter, FastAPI, Docker, Kubernetes, AWS, and GCP to build reliable systems that scale in real-world production environments.
What I Can Help You Build:
AI Agents & Workflow Automation
Design and deploy intelligent AI agents capable of automating workflows, handling decision-making processes, and improving operational efficiency using LangGraph and advanced LLM orchestration.
Production-Ready RAG Systems
Build scalable Retrieval-Augmented Generation (RAG) pipelines for enterprise chatbots, internal knowledge bases, AI assistants, and semantic search systems with optimized latency, accuracy, and token efficiency.
Voice AI & Conversational Systems
Develop multilingual real-time voice AI applications using Whisper, Text-to-Speech (TTS), streaming pipelines, and conversational AI architectures for seamless human-AI interaction.
Scalable Backend & AI Infrastructure
Create robust backend systems and APIs using FastAPI, Docker, Kubernetes, PostgreSQL, and cloud platforms such as AWS and GCP for secure and high-performance deployments.
Why Clients Choose to Work With Me
✔️ Experience working with international startups and AI-driven businesses
✔️ Strong focus on production-grade systems, not experimental demos
✔️ Expertise in building scalable and cost-optimized AI architectures
✔️ Deep understanding of low-latency and high-availability AI systems
✔️ Ability to transform AI concepts into reliable enterprise solutions
✔️ Strong communication, transparency, and long-term collaboration mindset
Problems I Help Businesses Solve
Many businesses struggle with:
High LLM and infrastructure costs
Slow AI response times
Poor scalability under production workloads
Unstable AI pipelines and unreliable outputs
Difficulty transitioning from prototype to production
I help solve these challenges by building optimized, scalable, and maintainable AI systems designed for long-term growth and ROI.
Why Clients Can Trust Me
I have worked with clients across different industries and regions who are focused on innovation and building impactful AI-driven products. My goal is not just to develop AI systems, but to create reliable solutions that contribute directly to business growth, operational efficiency, and recurring revenue.
I believe in honest communication, long-term partnerships, and delivering production-ready solutions that businesses can depend on confidently.
Let’s Build Something Powerful
If you are looking to build:
✔️ AI Agents & Autonomous Workflows
✔️ RAG-Based Chatbots & Knowledge Systems
✔️ Voice AI Applications
✔️ AI SaaS Products
✔️ Scalable LLM Infrastructure
Let’s connect for a quick 10-minute discovery call to discuss your goals, technical requirements, and execution strategy.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Receive business understanding
I starts the implementation