You will get Machine Learning Engineer for Build AI-Powered Knowledge Base (RAG System)
Project details
This project stands out because it goes beyond a simple chatbot—it delivers a full AI-powered knowledge base built with RAG (Retrieval-Augmented Generation) for precise, context-aware answers. Unlike generic solutions, I customize pipelines using tools like LangChain, GPTs, vector databases, and Python to ensure scalability, security, and real-world accuracy. What sets my approach apart is the balance of deep technical expertise and business-focused outcomes, giving you not just a working model, but a reliable AI system tailored to your data and goals.
Machine Learning Tools
Apache Mahout, Apache Spark, BERT, ChatGPT, fastText, GPT-3, Keras, Kubeflow, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, NVIDIA AI Platform, OpenCV, pandas, PyMC, Python, PyTorch, R, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 2 | 3 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 4 | 6 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
12 reviews
(10)
(1)
(1)
(0)
(0)
This project doesn't have any reviews.
AJ
Amen J.
Jan 2, 2026
ML/AI Developer Needed for Model Training and Web API Creation
MS
Mojan S.
Dec 16, 2025
One-on-One Training with AI Cloud Experts (AWS, Azure, Google Cloud)
RM
Randy M.
Oct 19, 2025
power bi discriptive analytics interactive dashboard
All I can say is Sameer is a must hire. I have hired him 10 times and keep coming back for more. When something is good, you don't change a thing. Thanks Sameer!
RM
Randy M.
Oct 18, 2025
AI/ML Model Training for Predicting Combinations
I cant stop hiring Sameer he's that good!
RM
Randy M.
Oct 1, 2025
AI/ML Model Training for Predicting Combinations
All I can say is, Sameer is a good seller highly recommended. Sameer knows his trade; hire him you won't be sorry.
About Sameer
Data Scientist & Analyst | SQL, Python, Power BI, ML & Data Pipelines
69%
Job Success
Gilgit, Pakistan - 9:25 pm local time
I'm a Data Scientist and Analyst who covers the full data lifecycle: data engineering, analytics, business intelligence, and dashboards — with machine learning and predictive analytics available when your project needs it.
WHAT I DELIVER FOR YOU:
- Data Analysis & Business Analysis: requirements gathering, KPI tracking, revenue & trend analysis, and clear stakeholder reporting
- Dashboards & Visualization: interactive Power BI, Tableau, and Looker Studio dashboards and executive-ready reports
- Data Engineering: clean, scalable ETL/ELT pipelines and data warehouse setup (Snowflake, BigQuery, Redshift) using Python & SQL
- Data Science & ML (when needed): predictive models, forecasting, churn analysis, and A/B testing
PROOF I DELIVER RESULTS:
1. 12 jobs completed with mostly 5-star reviews across analytics, Power BI, and data projects
2. One client hired me 10+ times and keeps coming back — repeat business built on reliable delivery
3. Delivered on-time Power BI dashboards, data preprocessing, and analytics projects with 5.0 ratings
4. Master's in Machine Learning + Microsoft Power BI and IBM certifications
TOOLS I WORK WITH:
SQL | Python | Power BI | Tableau | Looker Studio | Excel/Google Sheets | Pandas | PostgreSQL | MySQL | Snowflake | BigQuery | Apache Spark | Airflow
HOW WE'LL WORK:
We start with your goals and data, I map out a clear plan and deliverables, then I deliver clean, documented results with regular updates so you're never guessing.
Ready to turn your data into clear decisions? Send me a message with your project and let's get started.
Steps for completing your project
After purchasing the project, send requirements so Sameer can start the project.
Delivery time starts when Sameer receives requirements from you.
Sameer works on your project following the steps below.
Revisions may occur after the delivery date.
Step #1
Collect and preprocess your dataset to structure it for Retrieval-Augmented Generation (RAG).
Step #2
Build, train, and test the RAG pipeline, ensuring accurate retrieval and context-aware responses.