You will get AI backed RAG agents and chatbots
Project details
Unlike generic chatbots, our RAG-powered solution delivers a superior user experience. By combining the power of AI with your valuable internal data, we create a chatbot that provides accurate, personalized, and efficient support
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Recurrent Neural Network, Regression Analysis, StyleGAN, Transformer Model, YOLOAI Applications
AI Chatbot, AI Text-to-Speech, Anomaly Detection, Facial Recognition, Image Analysis, Image Recognition, Machine Translation, Natural Language Generation, Natural Language Understanding, Object Detection, Object Localization, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Microsoft CNTK, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$1,800
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 30 days | 45 days | 65 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 | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$500
40 reviews
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CS
Christopher S.
May 26, 2026
Senior AI Automation Specialist (GHL + Voice AI + LLM Integration) – Mortgage Lead Gen (Australia)
Good experiance produced what I needed when I needed
AL
Andre L.
Apr 19, 2024
Machine Learning Software Engineer- OCR - Classifier and Data Extraction
LL
Lindsay L.
Sep 15, 2022
AI Research & Development
Excellent outcome to the project, highly recommend Sam, deep expertise and knowledge on AI, thank you!
AW
Abbie W.
Sep 8, 2021
Machine learning for robot - roadmap
Expert guidance (esp. for us lay people) on what the steps required to incorporate machine learning into our hardware. Easy communication by email and video call. Will engage in future.
AF
Alex F.
Feb 15, 2021
Developer to create a data input form on excel, analysis engine and data visualization dashboard
Very responsive and capable freelancer. Thinks out side the box and super efficient.
About Sumanshu
Lead AI Engineer & Data Scientist | RAG | Chatbot | AI | Python | LLM
Kellyville, Australia - 3:30 pm local time
I design and build production-grade AI systems that actually solve business problems - not just prototypes that look good in a demo.
I work at the intersection of:
AI / LLMs (ChatGPT, Claude)
backend systems (Python, APIs, workflows)
real-world operations (automation, decision systems, internal tools)
Currently, I lead AI system design in a large enterprise environment, where we’re building agent-based automation workflows to process complex, messy data (documents, images, unstructured inputs) at scale.
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🧠 What I’m Best At
I don’t just “use AI” — I design systems around it.
1. AI Assistants & Copilots
Internal tools that:
search knowledge bases
generate structured outputs
assist teams with daily work
RAG-based systems (retrieval + LLM)
👉 Example: Built an AI analytics assistant that generates SQL + insights from natural language queries
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2. Workflow Automation (Where AI Actually Pays Off)
Automating processes like:
document handling
support workflows
decision pipelines
👉 Example: Built an AI system that reduced manual handling time by 80%+
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3. Document AI & Data Extraction
Extract structured data from:
PDFs
forms
images
inconsistent formats
👉 Used in regulated environments where accuracy matters
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4. AI-Driven Scoring & Matching Systems
Ranking, prioritisation, and decision systems
Perfect for:
recruitment
lead scoring
marketplaces
internal workflows
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5. End-to-End AI Products
I can build the full system:
backend (Python / FastAPI / Django)
AI layer (OpenAI, LLM workflows)
UI (Streamlit or simple web apps)
data storage (Postgres, etc.)
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🛠️ Tech Stack
Python, SQL
OpenAI / LLMs / RAG
FastAPI, Django, Streamlit
Postgres, Snowflake, Databricks
AWS / Azure
Docker
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🧩 How I Work
I don’t overengineer.
I typically:
1. Understand the real problem (not just the feature request)
2. Build a simple but strong first version
3. Add AI where it actually adds value
4. Make sure it’s usable, scalable, and maintainable
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🏡 Bonus: Real Estate AI Product
I also built PropertySignal.au — an AI-enabled suburb research platform that helps analyse property markets using data and modelling.
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🤝 When I’m a Good Fit
You’ll get the most value from me if you:
want to build something real, not experimental
need both AI + backend/system thinking
care about quality, clarity, and long-term usability
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💬 Let’s Talk
If you have an idea, even if it’s rough - feel free to reach out. I’m happy to help shape it into something practical.
and type of clients, I can tune this to maximise conversion.
Steps for completing your project
After purchasing the project, send requirements so Sumanshu can start the project.
Delivery time starts when Sumanshu receives requirements from you.
Sumanshu works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff