You will get a custom AI-powered app (LLM, Computer Vision, NLP, or Generative AI)
Project details
As an AI and machine learning engineer with expertise in language models, computer vision, and generative AI, I offer the development of custom AI applications. This project is designed to help you build intelligent systems that go beyond simple prototypes by delivering functional, production-ready solutions. From model development and data preprocessing to full-stack integration with a user-friendly interface, I ensure that every aspect of the application is optimized for performance and usability. Whether you need a chatbot, image generator, document analyzer, or a real-time vision system, I bring both technical depth and a product-focused approach to turn your ideas into fully functional AI-powered tools.
AI Algorithms
Autoencoder, Convolutional Neural Network, CycleGAN, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, StyleGAN, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, Anomaly Detection, Facial Recognition, Image Processing, Image Recognition, Object Detection, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | |
MLOps | - | ||
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | |||
Model Tuning | |||
Natural Language Processing | - | - | |
NLP Tokenization | - | - | |
Pre-Training | - | ||
Prompt Engineering | |||
Setup File | - | - | |
Source Code |
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YO
Yuki O.
Aug 27, 2024
Testing My app and Tell Me Bad Points for UX.
She delivered a very high-quality job, and it was so quick. Thank you.
About Zaib Un
AI/ML Engineer | LLM, Computer Vision, Generative AI, Deep Learning
50%
Job Success
Islamabad, Pakistan - 10:54 am local time
Hi! I’m Zaib, a Computer Science graduate passionate about AI/ML precisely Large language models (LLMs) ,computer vision and generative AI.
Technical Expertise:
Programming Languages: Python, C++, C#
Frameworks: Tensorflow, Pytorch, Streamlit
API development: Flask and FastAPI
Libraries: OpenCV, Matplotlib, Numpy, Pandas, HuggingFace, Scikit-Learn, Tesseract
Techniques: Dataset Preprocessing, EDA, Model Fine-Tunning, Deep Learning (ANN, CNN, RNN, YOLO, LSTM), OCR, Generative AI(Diffusion models, Stable diffusion model, GANs, StyleGANs ,DCGANs, CyclicGANs , VAEs), LLMS(LangChain, LLaMA, BERT, OpenAI API, Prompt Engineering, GPT Fine-Tunning, Gemini, Retrieval Augmented Generation - RAG), NLP (word2Vec, TF-IDF, FAISS)
Projects:
Developed GANs, VAEs, and Diffusion Models for image generation/translation.
Implemented GANs, DCGANs, CyclicGANs for sketch to image and image to sketch generation.
Built multimodal RAG systems (OpenAI API, LangChain) for context-aware Q&A by doing PDF manipulation (text and images extraction).
Trained Vanilla RNNs for next-word prediction and Transformers for NLP tasks.
Created an AI news summarizer (BERT + FAISS) with semantic recommendation system using NLP pipelines and vector databases(ChromaDB
LLM & NLP Engineering:
Fine-tuned LLMs (OpenAI/Gemini) for domain-specific tasks
Implemented prompt chaining, memory systems, and agent workflows
Experimented with LlamaIndex, LangChain, and vector DBs for retrieval-augmented apps
Computer Vision & Real-Time Systems
Built Traffix: A smart traffic manager using YOLOv5 + PyTorch for emergency vehicle detection
Designed image classification pipelines (CNNs on CIFAR-10) and video processing and Integrated using FlaskAPI.
Data Engineering & Visualization
Processed large-scale Amazon reviews with PySpark, Pandas, and D3.js/Tableau for insights
Developed ETL pipelines for structured/unstructured data (SQL, MongoDB, Apache Spark)
Created a dashboard and data visualization charts using D3.
Full-Stack Development
AgriLink: Marketplace with RBAC auth (Node.js, React, MongoDB)
TA Management System: Workflow automation (ASP.NET, SQL)
eDoc Health Records: Secure patient data system (Java, telemedicine APIs)
Available for: AI prototyping, LLM integration, computer vision, and data visualization / analysis.
Let’s collaborate!
Steps for completing your project
After purchasing the project, send requirements so Zaib Un can start the project.
Delivery time starts when Zaib Un receives requirements from you.
Zaib Un works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Your Requirements
I’ll review your use case, data type, and expected output to finalize the project scope.
Model Development or Selection
Based on your needs, I’ll either train a custom model or integrate a pre-trained one (e.g., GPT, YOLO, Stable Diffusion).