You will get Workflow Automation with AI Agents, Chatbots, RAG


Project details
I deliver powerful workflow automation solutions designed to save time, cut costs, and boost efficiency:
š Streamlit interface ā sleek, intuitive, and easy for anyone to use.
š API & webhook integrations ā connect all your tools into one seamless system.
š¤ AI-powered automation ā harnesses the power of AI to understand and generate text.
š Scalable code ā built to grow with your business without breaking.
š Custom dashboards & apps ā fully tailored to your workflow for maximum control.
š Streamlit interface ā sleek, intuitive, and easy for anyone to use.
š API & webhook integrations ā connect all your tools into one seamless system.
š¤ AI-powered automation ā harnesses the power of AI to understand and generate text.
š Scalable code ā built to grow with your business without breaking.
š Custom dashboards & apps ā fully tailored to your workflow for maximum control.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, ChatGPT, GitHub Copilot, Google Sheets, GPT-3, NLTK, NVIDIA AI Platform, OpenCV, pandas, Python, PyTorch, Scrapy, Sonnet, SQL, TensorFlow, Tesseract OCR, Vertex AI, Word2vecWhat's included
| Service Tiers |
Starter
$170
|
Standard
$550
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 0 | ||
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | - | - | - |
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $450
Additional Revision
+$300Frequently asked questions
About Aren
AI Engineer | AI Automation - Agents, Chatbots, RAG, Prompts, n8n
100%
Job Success
Yerevan, ArmeniaĀ - 6:41 am local time
š¤ AI agents & custom chatbots to automate any workflow
š RAG pipelines that deliver accurate, context-aware answers
š Rapid prototyping for POCs and MVPs that scale to production
š§ Advanced prompt, context and architecture engineering for reliable outputs
šÆ LLM fine-tuning and model optimization
ā” Scalable and cost-efficient AI solutions
š¾ Data engineering and ETL pipelines
āļø AWS cloud architecture
š Cofounder & CTO at caselens.tech
š¼ Legal Tech specialist
āļø Former lawyer
My approach combines technical expertise with practical implementation, enabling quick transitions from concept to production-ready tools. I focus on developing stable, efficient solutions that provide measurable improvements to existing workflows through AI-powered automation.
Steps for completing your project
After purchasing the project, send requirements so Aren can start the project.
Delivery time starts when Aren receives requirements from you.
Aren works on your project following the steps below.
Revisions may occur after the delivery date.
Initial interview & requirement outlining
Conduct an online interview to understand the task/workflow in detail. Deliverable: a clear technical requirements document based on the description, schema, and workflow details.
Delivery of Version 1 (prototype)
Share the first working version of the automation with the client for initial testing and feedback.