You will get advanced ai agents with rag, langchain, langgraph, tools and memory
Project details
Are you looking for a custom AI agent that can reason, retrieve documents, use tools, and act like AutoGPT or OpenAI Assistants?
I am Feroz Khan, a professional AI engineer and founder of FICIALI, with 6+ years of experience in building AI systems, LLM agents, and RAG pipelines using frameworks like:
• LangChain
• LangGraph
• OpenAI GPT-4 / Claude / Mistral
• FAISS / Pinecone / Chroma
• FastAPI / Streamlit / Flask
• RAG (Retrieval-Augmented Generation)
• Voice & tool-based agents (ElevenLabs, APIs)
• HuggingFace Transformers
What I Will Deliver:
AI Agents With:
• Retrieval Augmented Generation (RAG)
• Tool use: call APIs, scrape web, use calculators, query DBs
• Memory (short-term + long-term)
• LangGraph agent workflows with control over state
• Streamlit or FastAPI web interface (on request)
Use Cases I Build:
• RAG powered chatbots from PDFs, websites, or Notion
• Custom AI agents for research, automation, or task planning
• Multiagent systems with LangGraph or CrewAI
• Voice based personal assistants using Whisper + ElevenLabs
• Agents that email, scrape, summarize, or interact with APIs
Tools & Frameworks:
• LangChain, LangGraph, CrewAI, Anthropic
I am Feroz Khan, a professional AI engineer and founder of FICIALI, with 6+ years of experience in building AI systems, LLM agents, and RAG pipelines using frameworks like:
• LangChain
• LangGraph
• OpenAI GPT-4 / Claude / Mistral
• FAISS / Pinecone / Chroma
• FastAPI / Streamlit / Flask
• RAG (Retrieval-Augmented Generation)
• Voice & tool-based agents (ElevenLabs, APIs)
• HuggingFace Transformers
What I Will Deliver:
AI Agents With:
• Retrieval Augmented Generation (RAG)
• Tool use: call APIs, scrape web, use calculators, query DBs
• Memory (short-term + long-term)
• LangGraph agent workflows with control over state
• Streamlit or FastAPI web interface (on request)
Use Cases I Build:
• RAG powered chatbots from PDFs, websites, or Notion
• Custom AI agents for research, automation, or task planning
• Multiagent systems with LangGraph or CrewAI
• Voice based personal assistants using Whisper + ElevenLabs
• Agents that email, scrape, summarize, or interact with APIs
Tools & Frameworks:
• LangChain, LangGraph, CrewAI, Anthropic
AI Algorithms
Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Art, AI-Generated Code, AI-Generated Music, AI-Generated Video, Synthetic Data GenerationAI Development Language
PythonAI Tools
GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, Microsoft CNTK, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, Midjourney AI, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 14 days | 27 days | 50 days |
Number of Revisions | 1 | 2 | 1 |
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 | - | - |
About Feroz
AI Engineer | Machine Learning Specialist | AI Agent Developer OCR
Karachi, Pakistan - 6:35 am local time
Core Expertise:
AI Agent Development (Autonomous, Tool Using Agents)
Multi agent orchestration using LangGraph & CrewAI
Knowledge Base Chatbots
LLMs, Model Fune Tunning, RAG (LangChain, LangGraph, CrewAI)
OpenAI GPT-4, Claude, Mistral, LLaMA
OCR, Computer Vision, Image Processing
OCR Pipelines (Scanned PDFs, Images, Forms), Text Detection & Recognition, Layout Aware Document Parsing, Invoice, Receipt & ID Document Processing
Computer Vision + NLP Integration
Object Detection, Image Classification, Segmentation
YOLO, Mask R-CNN, EfficientDet, UNet
Retrieval-Augmented Generation (RAG)
Document Chunking, Metadata Filtering, Hybrid Search & Context Optimization
Vector Databases (FAISS, Pinecone, Chroma, Milvus, Qdrant)
FastAPI, Flask, React, Django
Python, HuggingFace Transformers
Voice & Tool Based AI Agents
Speech-to-Text (Whisper), Voice Agents & TTS (ElevenLabs), Multimodal AI (Text + Image + Audio)
API Integration, Docker, CI/CD Pipelines, RESTful APIs & Cloud Deployment
Frontend Engineering (React & Next.js):
React.js (Hooks, Context API, Redux, Zustand)
Next.js (App Router, Server Components, SSR, SSG, ISR)
Responsive UI & Component-Driven Architecture
Authentication & Authorization (JWT, OAuth)
Dashboard & Admin Panel Development
API Integration & State Management
Backend Engineering (Node.js):
Node.js Backend Development
RESTful & GraphQL APIs
Scalable Backend Architecture
Authentication, Authorization & Role Based Access Control
Secure API Design & Middleware
Business Logic & Workflow Automation
Third Party API Integrations
What I Build:
Custom AI Agents (AutoGPT style)
OCR & Document AI Systems
RAG based Chatbots
Computer Vision & Image Analysis Models
End-to-End AI Solutions (Research amd Deployment)
Focused on clean code, scalable architectures, and production ready AI systems.
Steps for completing your project
After purchasing the project, send requirements so Feroz can start the project.
Delivery time starts when Feroz receives requirements from you.
Feroz works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Requirement Analysis & Use-Case Definition
Review client requirements, clarify goals, data sources, tools, and success criteria. Finalize agent architecture and scope.
Step 2: System Architecture & Agent Design
Design agent workflow using LangChain/LangGraph, define memory, tools, RAG strategy, and APIs to be used.