You will get an experienced n8n expert
Project details
n8n automation is what sits between your tools and the work your team is actually trying to do. Most of the time, that layer is missing. Leads come in and sit there. Reports take longer than they should. Five platforms running at once, none of them sharing data.
I build n8n workflows that close those gaps — lead generation pipelines, business process automation, AI integrations, CRM syncs, and API connections. Built to stay running after I hand them off.
What I typically automate:
Lead scraping, enrichment, and CRM sync
Outreach sequences triggered by real-time signals
Internal reporting and cross-platform data sync
AI integrations: GPT-4, Claude, document processing
HubSpot, GoHighLevel, Airtable, Notion, Instantly, Clay
Before I touch a single node, I map the full workflow logic. Most automations I've fixed didn't fail in n8n — they failed at the design stage. Getting the architecture right first prevents those rebuilds.
I've cut 20+ hours of manual work to near zero, brought response time from days to minutes, and collapsed eight tools into one clean pipeline.
Send me what's breaking and I'll give you a straight answer on whether n8n solves it.
I build n8n workflows that close those gaps — lead generation pipelines, business process automation, AI integrations, CRM syncs, and API connections. Built to stay running after I hand them off.
What I typically automate:
Lead scraping, enrichment, and CRM sync
Outreach sequences triggered by real-time signals
Internal reporting and cross-platform data sync
AI integrations: GPT-4, Claude, document processing
HubSpot, GoHighLevel, Airtable, Notion, Instantly, Clay
Before I touch a single node, I map the full workflow logic. Most automations I've fixed didn't fail in n8n — they failed at the design stage. Getting the architecture right first prevents those rebuilds.
I've cut 20+ hours of manual work to near zero, brought response time from days to minutes, and collapsed eight tools into one clean pipeline.
Send me what's breaking and I'll give you a straight answer on whether n8n solves it.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Google AutoML, Keras, OpenCV, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$50
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 7 days |
Number of Revisions | 0 | 1 | 4 |
AI Model Integration | |||
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | |
Model Documentation | - | - | |
Ontology | - | - | |
Source Code | - | - | |
Taxonomy | - | - |
About Ameer
AI & Machine Learning Engineer | Data Scientist AI Chatbots Analytics
Rawalpindi, Pakistan - 10:29 am local time
Services
AI Chatbots & Agents: Design and develop custom chatbots (multilingual or domain-specific) using large language models and vector search (RAG) to achieve high query accuracy and customer satisfaction.
Machine Learning Models: Build and optimize ML models (classification, regression, recommendation) with techniques like hyperparameter tuning and feature engineering to improve performance and reliability.
Computer Vision & Speech: Create vision and speech applications (image analysis, object detection, voice recognition) for industries like healthcare, retail, and education.
Data Analysis & Automation: Provide data analytics, visualization, and reporting solutions (interactive dashboards, automated reports, statistical modeling) to drive data-driven decision-making.
End-to-End AI Development: Handle the full AI project lifecycle (from data preprocessing and model development to deployment on AWS or Docker) for web and mobile applications using frameworks like FastAPI, Flask, or Streamlit.
Technical Skills
Programming & ML: Python (Pandas, NumPy, SciPy, Scikit-Learn), SQL, JavaScript.
AI/ML Frameworks: TensorFlow, Keras, PyTorch, Hugging Face Transformers, OpenAI API.
NLP & Generative AI: GPT-4/GPT-3.5, LLaMA, BERT, LangChain, RAG, NER, chatbots and AI assistants.
Data & Dev Tools: Matplotlib, Seaborn, Plotly, Docker, Git/GitHub, AWS (EC2, S3, Lambda), Azure.
Other Technologies: OCR (EasyOCR, Tesseract), Text-to-Speech (Whisper, GTTS), Vector Databases (FAISS, Pinecone, PostgreSQL).
Proven Results
Accuracy Boost: Improved model prediction accuracy by 22–30% through advanced feature engineering and tuning.
Faster Responses: Developed a RAG-based chatbot that responded 40% faster, enhancing user experience and engagement.
Higher Query Match: Achieved over 85% query match rate for AI agents integrating vector/SQL databases.
Efficiency Gains: Delivered 25%+ operational efficiency improvements by applying predictive analytics and automating key processes.
Why Hire Me
Certified Expertise: Trained at Stanford and IBM, I apply the latest AI/ML research to practical projects.
Results-Driven: I measure success by real metrics (accuracy, speed, ROI) and continuously optimize to exceed goals.
Clear Communication: I work closely with clients, translating complex technical ideas into understandable insights.
Reliability: Committed to meeting deadlines and providing ongoing support; many clients have expressed satisfaction and return for new projects.
Availability & Rate
I am available for new projects and offer my services at $10/hour, providing affordable, high-quality work. If you need a dedicated AI/ML engineer to build a smart solution or improve your data processes, let’s connect. I’m ready to discuss your project requirements and provide a tailored plan.
Steps for completing your project
After purchasing the project, send requirements so Ameer can start the project.
Delivery time starts when Ameer receives requirements from you.
Ameer works on your project following the steps below.
Revisions may occur after the delivery date.
Get complete clear project requirements