You will get an autonomous Agentic AI system tailored to your business.
Project details
I will design and build a custom Agentic AI system that can reason, plan, and execute tasks autonomously using modern AI frameworks.
Agentic AI goes beyond chatbots by enabling goal-driven decision making, tool usage, memory, and multi-step reasoning. These systems can automate workflows, analyze data, retrieve knowledge, and interact with external tools or APIs.
Whether you are a startup building an AI product or an enterprise automating operations, I deliver scalable, secure, and well-documented Agentic AI solutions tailored to your needs.
Agentic AI goes beyond chatbots by enabling goal-driven decision making, tool usage, memory, and multi-step reasoning. These systems can automate workflows, analyze data, retrieve knowledge, and interact with external tools or APIs.
Whether you are a startup building an AI product or an enterprise automating operations, I deliver scalable, secure, and well-documented Agentic AI solutions tailored to your needs.
AI Algorithms
AlexNet, Autoencoder, CycleGAN, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Regression Analysis, StyleGAN, YOLOAI Applications
AI Chatbot, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Code, Facial Recognition, Image Analysis, Image Processing, Object Detection, Sequence Modeling, Speech Synthesis, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-4, GPT-J, GPT-Neo, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$80
|
Standard
$140
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 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 | - | - | - |
Frequently asked questions
About Sheraz
AI Automation Expert | AI chatbot Developer | Agentic AI | RAG
Rawalpindi, Pakistan - 2:01 pm local time
I help businesses transform raw data into actionable insights by designing and deploying high-performance AI automation models across various domains, including api automation, open ai api, NLP, and predictive analytics.
🚀 What I Can Do for You
Build, train, and optimize open ai api models
Design end-to-end mlm software pipelines
Develop advanced AI chatbot solutions (LLMs, RAG, Agents)
Apply deep learning techniques to images, text, and time-series data
Implement deep learning computer vision systems (object detection, classification)
Work with modern architectures including Transformers and federated systems (federated machine learning)
Deploy models using scalable APIs (Flask, FastAPI) and cloud platforms (AWS)
🛠️ Core Expertise
AI and API automation & Machine Learning Python
Deep Learning & AI Deep Learning
Computer Vision Machine Learning
Natural Language Processing (BERT, GPT, sentiment analysis)
MLM software developer & MLOps workflows
Data preprocessing, feature engineering, and optimization
Model deployment (Docker, APIs, AWS)
🤖 Generative AI & Advanced Systems
As an AI chatbot developer, I build intelligent conversational systems and agent-based workflows using:
RAG Pipelines (Retrieval-Augmented Generation)
LangChain, LangGraph, LlamaIndex, CrewAI
OpenAI, Google Gemini, Multi-model AI systems
Autonomous AI automations and MCP servers
🧰 Tools & Technologies I Use
Claude (Anthropic)
OpenAI (GPT-4, GPT-4o, GPT-5)
Google Gemini
Meta LLaMA / LLaMA 3
Mistral AI
Python (TensorFlow, PyTorch, Scikit-learn)
Hugging Face Transformers
ChromaDB, Pinecone (Vector Databases)
Docker & Kubernetes
FastAPI, Flask
AWS (EC2, S3, Lambda, SageMaker)
Git, GitHub, CI/CD pipelines
Steps for completing your project
After purchasing the project, send requirements so Sheraz can start the project.
Delivery time starts when Sheraz receives requirements from you.
Sheraz works on your project following the steps below.
Revisions may occur after the delivery date.
Understand your use case, goals, and data
Design agent architecture and workflows