You will get advanced deep learning application using tensorflow and pytorch
Top Rated
Project details
If you need advanced Computer vision, Machine Learning, Deep Learning model, and applications in TensorFlow and PyTorch. I can build custom deep learning models and pipelines that produce a state of the art accuracy. I have years of experience in AI to provide good quality work and customer satisfaction. Our vision is “Give Best, Receive Best” and Customer Satisfaction is always my topmost priority.
NOTE:
The project Price depends on the Time and Effort required to be completed which is different for each project. Please contact me before placing an Order so the appropriate Price and Duration will be decided.
I have worked on Computer Vision, Deep learning tasks like
Face Recognition
Object Detection and Tracking
Text Detection and Recognition
Landmark Detection
Pose Estimation
Image and Instance Segmentation
Scene Understanding (Image Captioning)
Tools and Libraries:
Tensorflow, Keras
Pytorch
Caffe, Theano
Open Cv
NOTE:
The project Price depends on the Time and Effort required to be completed which is different for each project. Please contact me before placing an Order so the appropriate Price and Duration will be decided.
I have worked on Computer Vision, Deep learning tasks like
Face Recognition
Object Detection and Tracking
Text Detection and Recognition
Landmark Detection
Pose Estimation
Image and Instance Segmentation
Scene Understanding (Image Captioning)
Tools and Libraries:
Tensorflow, Keras
Pytorch
Caffe, Theano
Open Cv
What's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 29 days |
Number of Revisions | 1 | 1 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Frequently asked questions
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GA
Ghuffran A.
Oct 28, 2025
Build a YouTube Chatbot Using RAG (LangChain + OpenAI)
Amazing experience working with Haider! He built a powerful YouTube chatbot using LangChain and OpenAI with great precision. Highly professional, communicates clearly, and delivers top-quality AI solutions on time
About Haider
AI Voice Agents & Gen AI Engineer | RAG, Healthcare & Computer Vision
100%
Job Success
Rawalpindi, Pakistan - 2:30 pm local time
🚀 I help businesses build production-ready AI systems, AI SaaS platforms, and intelligent automation products — from AI agents and advanced RAG to real-time voice calling AI agents, healthcare AI, computer vision, and multimodal document workflows.
🔐 HIPAA compliance aware and experienced in building AI solutions with strong attention to health and personal data security, privacy, and responsible system design.
💡 With 7+ years in AI and 25+ end-to-end solutions shipped, I turn complex AI ideas into reliable products that deliver real business value.
🏥 My expertise spans Healthcare AI, Voice Automation, Multilingual Document Intelligence, Domain-Specific - Finetuned LLM/SLM systems, OCR, and Computer Vision including Detection, Segmentation, and Tracking.
🖥 I work as a Full-Stack AI/ML Developer across backend, frontend, deployment, and scalable production infrastructure.
✅ I focus on what matters in production: accuracy, latency, grounded responses, and dependable delivery.
🔄 Common Challenges I Solve:
→ “Our AI agent works in demos, but not in real workflows.”
→ “Our RAG system gives weak or ungrounded answers.”
→ “Voice bots feel robotic and frustrate users.”
→ “We need AI for multilingual documents, reports, or quality assessment.”
→ “We want domain-specific AI that is both accurate and fast.”
👉 I turn these challenges into practical, scalable AI products.
📊 My Impact in Action:
- 🦷 Built an AI dental diagnostic system for X-rays and oral images, helping provide faster and more reliable second opinions
- 🎙 Developed real-time voice AI agents for support workflows with speech-to-text, reasoning, and voice response pipelines
- 📄 Built document intelligence systems for OCR, VLM extraction, multilingual reports, and structured quality assessment
- 🧠 Developed domain-adapted LLM/SLM pipelines for high accuracy and speed in specialized workflows
- 🤖 Built agentic AI systems for automation, reasoning, and multi-step task execution
- 💬 Delivered RAG-powered assistants for grounded answers over PDFs, DOCX files, videos, and business knowledge bases
- ☁️ Deployed LLM-powered systems on cloud platforms including RunPod, AWS, and GCP for scalable production use
🧠 What I Build:
- AI Agents & Agentic Workflows – multi-agent systems for automation, reasoning, and execution
- RAG Systems – grounded assistants over company knowledge, documents, and internal data
- Voice AI – real-time speech-to-speech agents for support, intake, and operations
- Multimodal AI – image, video, OCR, and document understanding pipelines
- Healthcare AI – diagnostic support, clinical note generation, medical coding, and AI assistants
- Fine-Tuning & Adaptation – custom LLM/SLM tuning, structured outputs, and evaluation pipelines
- LLM Evaluation Frameworks – evaluation pipelines for accuracy, groundedness, latency, and output quality
- LLM Deployment – production deployment on RunPod, AWS, and GCP
🛠 Tech Stack & Tools:
Python, FastAPI, LangGraph, LangChain, OpenAI, Claude, LLaMA, Qwen, Mistral, Whisper, ElevenLabs, Qdrant, Pinecone, Docker, Postgres, AWS/GCP/Azure, Hugging Face, YOLO, OpenCV
🌍 Industries I’ve Served:
🏥 Healthcare
📑 Document & Knowledge Automation
🛒 Commerce & Customer Support
⚙️ Enterprise SaaS
📬 Let’s Build Something That Works in Production:
I don’t just build AI prototypes — I build usable, scalable systems with strong architecture, clean integrations, and measurable business value.
Steps for completing your project
After purchasing the project, send requirements so Haider can start the project.
Delivery time starts when Haider receives requirements from you.
Haider works on your project following the steps below.
Revisions may occur after the delivery date.
Get Requirements
We need the detailed requirements with the following information. 1) Detailed description of the project. 2) Model Accuracy required. 3) Computational Resouce where model being deployed. 4) Timeline. 5) Budget.
Planning and Design
The proposed approach along with the reasons for the project will be discussed.