You will get a custom AI Agents or Generative AI Chatbots for your business.
Project details
With over 2 years of experience as an AI Engineer, I deliver custom AI solutions that solve real business problems. I specialize in building advanced AI Agents, RAG-powered Chatbots, and Generative AI systems using Python, LangChain, and the Google Gemini API. Unlike generic templates, my work is 100% custom-coded to automate your specific workflows, provide insights from your unique data, and create truly intelligent assistants that drive results.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Code, Conversational AI, Facial Recognition, Image Recognition, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 5 days | 15 days | 30 days |
Number of Revisions | 3 | 5 | 5 |
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
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MY
Mesut Y.
May 20, 2026
Data Collection and Entry for our ML Project AI Navigator
About Talha
AI Automations Expert | n8n | Zapier | Make | Claude AI
Islamabad, Pakistan - 2:42 am local time
I'm an AI automation specialist with 5+ years of hands-on experience building workflows and AI agents in n8n, Zapier, and Make, and I integrate Claude and Claude Cowork to add real intelligence to automations. Not just "if this then that" logic, but AI agents and systems that can read, reason, summarize, classify, and make decisions inside your workflow.
What I actually do:
- Design and build end-to-end automations connecting your apps, CRMs, spreadsheets, databases, and AI models
- Build autonomous AI agents that handle multi-step tasks on their own: reading incoming data, deciding what action to take, and executing it without human input
- Build RAG (Retrieval Augmented Generation) pipelines so AI agents can pull accurate answers from your company's documents or knowledge base instead of guessing
- Replace manual data entry, lead routing, reporting, and follow-ups with self-running systems
- Build AI-powered workflows using Claude for tasks like content generation, document processing, customer support triage, and data extraction
- Fix and rebuild broken or fragile automations other freelancers left behind
- Handle complex, multi-step, multi-branch logic: API integrations, error handling, conditional routing, and data transformations that simpler no-code builds can't manage
Some automations I've built:
-> A 14-step, end-to-end customer lifecycle automation: inbound leads are captured from multiple sources (web form, email, ad platforms), deduplicated and enriched via third-party data APIs, scored with custom logic, classified by intent using Claude, routed to the right sales rep with context auto-attached in the CRM, followed up with an AI-personalized outreach sequence, and if no response after set intervals, escalated to a human with a full summary. Every step includes error handling and retry logic, with failures logged and alerted to Slack in real time.
-> A full workplace intelligence and meeting prep system built with Claude, connecting Gmail, Slack, Google Calendar, Jira, and Google Drive into one automated daily workflow. The system reads incoming emails and Slack messages and mentions, and uses Claude to generate concise summaries of what's relevant. It checks the calendar for upcoming meetings, then cross-references related Slack threads and email chains tied to each meeting to automatically prepare meeting notes and context ahead of time, so nothing gets missed. It integrates with Jira to create issues and track tickets directly from conversations or meeting outcomes, closing the gap between discussion and action. All daily work summaries are automatically compiled and stored in Google Drive for easy reference. Every morning, it generates a personalized morning brief by pulling from the calendar, Jira assigned tasks, unread emails, and Slack threads, then uses Claude to build a prioritized task list for the day based on deadlines, meeting urgency, and outstanding issues, so the day starts with clarity instead of digging through five different apps.
-> A 15+ step multi-agent support system built across n8n and Claude: incoming customer messages are classified by intent and urgency, relevant order and account data is pulled live from multiple backend systems via API, a draft response is generated and checked against a knowledge base using RAG for accuracy, high-confidence responses are sent automatically, medium-confidence ones are queued for quick human review, and everything is logged for reporting, with weekly performance summaries generated automatically.
Why work with me:
- 5+ years of hands-on experience building advanced, scalable automations and AI agent systems
- Worked with [big tech company names / notable clients you can name] on internal automation and workflow infrastructure
- I get brought in for the automations that everyone else says "can't be done": messy data, multiple conditional paths, third-party API quirks, or AI decision-making baked into the flow
- I don't just build what you ask for. I map out your actual process first and flag the failure points a simpler build would hit
- Every system is built with proper error handling and monitoring, so it keeps working after I hand it off instead of quietly breaking in three weeks
- I treat every project like it needs to survive without me babysitting it: clear documentation, tested edge cases, and honesty upfront if something needs a different approach to actually be reliable
If you have a workflow or AI agent in mind, simple or genuinely complex, send me the details. I'll tell you honestly whether it's a quick build or a bigger project, and how I'd approach it.
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 & Strategy
I will thoroughly review your project goals, data, and desired outcomes. We will confirm the scope and define a clear strategy for your AI bot or agent.
Development & Integration
This is where I build the core solution. This can include: Training the chatbot on your FAQs. Building the RAG pipeline to connect your documents. Architecting the AI agent(s) and their workflows using LangChain/LangGraph/CrewAI/Google ADK.