You will get scalable Generative AI solutions and data pipelines for real business value
Project details
You will get a scalable data engineering and generative AI solution designed to turn your raw data into real business value. I focus on building clean, reliable data pipelines and integrating AI capabilities that automate workflows, generate insights, and improve decision-making.
With a strong foundation in Python, SQL, Spark, and cloud platforms like Azure and Snowflake, I build systems that are not just functional but production-ready. My approach is practical and business-focused — I don’t overcomplicate things with unnecessary complexity, but instead deliver solutions that are efficient, maintainable, and easy to use.
Whether you need data pipelines, AI-powered automation, or end-to-end systems, the goal is simple: help you save time, reduce manual work, and unlock the full potential of your data.
With a strong foundation in Python, SQL, Spark, and cloud platforms like Azure and Snowflake, I build systems that are not just functional but production-ready. My approach is practical and business-focused — I don’t overcomplicate things with unnecessary complexity, but instead deliver solutions that are efficient, maintainable, and easy to use.
Whether you need data pipelines, AI-powered automation, or end-to-end systems, the goal is simple: help you save time, reduce manual work, and unlock the full potential of your data.
AI Algorithms
Convolutional Neural Network, Feedforward Neural Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, StyleGAN, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AIOps, Conversational AI, Facial Recognition, Machine Translation, Natural Language Understanding, Neural Machine Translation, Sentiment AnalysisAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, GitHub Copilot, Hugging Face, Jasper AI, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
AlphaCode, BERT, BLOOM, ChatGPT, DALL-E, Dolly, GPT-4, LaMDA, LLaMA, Naive Bayes Classifier, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$35
|
Standard
$80
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 0 |
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 |
Frequently asked questions
About Talha
Generative AI and Data Engineer specializing in scalable pipelines
Hyderabad, India - 11:14 am local time
I have worked on end-to-end AI systems that integrate data pipelines with generative AI to automate workflows, generate insights, and improve decision-making. My projects emphasize performance, reliability, and clean architecture, ensuring they are ready for real-world deployment.
I follow a practical, business-focused approach — delivering solutions that are efficient, maintainable, and aligned with client goals rather than overcomplicating with unnecessary complexity.
Steps for completing your project
After purchasing the project, send requirements so Talha can start the project.
Delivery time starts when Talha receives requirements from you.
Talha works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement analysis
Understand your business problem, data sources, and define solution architecture
Data pipeline development
Build ETL pipelines for data ingestion, transformation, and storage