You will get AI SaaS Full Stack Web App Developer | Python | Generative AI LLM RAG MCP
Project details
Want to launch a scalable AI SaaS product Generative AI, LLMs, RAG pipelines, and MCP frameworks? production-ready full-stack AI SaaS apps with secure backends, interactive UI cloud deployment
chatbots and knowledge assistants to data analytics dashboards and workflow automation, SaaS solutions GPT-4, Claude, Llama custom LLMs RAG pipelines and multi-agent architectures (MCP).
🔹 What I Deliver:
AI API Integration: GPT, Claude, Llama, HuggingFace, LLMs
RAG Pipelines: Vector DBs (Pinecone, Weaviate, FAISS, Milvus) + embeddings
Multi-Agent Systems (MCP): CrewAI, AutoGen, LangChain agents
Backend: Django, Flask, FastAPI, Node.js (REST + GraphQL)
Frontend: React, Next.js, Tailwind, TypeScript
Databases: PostgreSQL, MySQL, MongoDB, Firebase
SaaS: Authentication (JWT/OAuth), subscription
Cloud Deployment: Docker, Kubernetes, AWS/GCP/Azure, CICD pipelines
Monitoring & Scaling: Logging, error handling, autoscaling
🔹 Why Work With Me?
End-to-end expertise: AI, Backend, Frontend, Cloud
5+ years in AI SaaS & product engineering
LLMs, RAG, vector databases, multi-agent workflows
Enterprise, secure, and scalable solutions
Delivered SaaS apps startups, fintech analytics platforms
chatbots and knowledge assistants to data analytics dashboards and workflow automation, SaaS solutions GPT-4, Claude, Llama custom LLMs RAG pipelines and multi-agent architectures (MCP).
🔹 What I Deliver:
AI API Integration: GPT, Claude, Llama, HuggingFace, LLMs
RAG Pipelines: Vector DBs (Pinecone, Weaviate, FAISS, Milvus) + embeddings
Multi-Agent Systems (MCP): CrewAI, AutoGen, LangChain agents
Backend: Django, Flask, FastAPI, Node.js (REST + GraphQL)
Frontend: React, Next.js, Tailwind, TypeScript
Databases: PostgreSQL, MySQL, MongoDB, Firebase
SaaS: Authentication (JWT/OAuth), subscription
Cloud Deployment: Docker, Kubernetes, AWS/GCP/Azure, CICD pipelines
Monitoring & Scaling: Logging, error handling, autoscaling
🔹 Why Work With Me?
End-to-end expertise: AI, Backend, Frontend, Cloud
5+ years in AI SaaS & product engineering
LLMs, RAG, vector databases, multi-agent workflows
Enterprise, secure, and scalable solutions
Delivered SaaS apps startups, fintech analytics platforms
Lesson Purpose
Programming LanguageStudent Age
Child (12 & Under), Teen (13-17), Adult (18-65), Senior (65+), OtherDevelopment Technology
Python, C & C++, HTML, JavaScript, Java, CSS, SQL, PHP, Node.js, .NET, WordPress, React, Angular, NoSQL, VB/VBA, React Native, Unity, Ruby, Kotlin, Shopify, Ruby On Rails, Swift, Unreal Engine, jQuery, Bootstrap, Laravel, Vue.js, ASP.NET, OtherWhat's included
| Service Tiers |
Starter
$95
|
Standard
$745
|
Advanced
$1,495
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Lessons | 3 | 5 | 7 |
Lesson Length (Minutes) | 60 | 60 | 60 |
Exercises & Supporting Materials |
Frequently asked questions
About Muhammad Noman
Python Data Scientist, ML & Big Data Engineer, Generative AI -LLM, API
Karachi, Pakistan - 6:17 pm local time
I help enterprises transform raw data into scalable AI/ML solutions that cut costs, boost efficiency, and drive measurable ROI.
💼 Work:
✅ AI Agents & Chatbots: Built IBM Watson + LLM (LangChain, RAG, XAI) chatbot handling 5,000+ monthly queries, cutting response time by 40% and boosting CSAT by 18%
✅ Fraud Detection Models: Developed an ML pipeline improving transaction monitoring by 20% accuracy and reducing false positives by 15%
✅ OCR & Automation: Engineered OCR workflow with Python/OpenCV, integrated into Temenos T24, reducing manual data entry by 60%
✅ Data Pipelines: Automated ETL (DB2 → Hive → SQL Server → Power BI Server) via PySpark/Scala + Cron, reducing runtimes by 30% and ensuring reliability with log monitoring
✅ Big Data Engineering: Managed 12-node Cloudera clusters (100+ TB) with 99.9% uptime, optimizing Spark + Hive workloads for faster queries
✅ BI Dashboards: Designed 30+ dashboards in Power BI, Tableau, Qlik & IBM Cognos, deployed for 1,000+ enterprise users across Risk, Compliance & Finance
✅ Streaming Pipelines: Built Kafka + Spark streaming systems for real-time analytics, processing 2M+ daily transactions
✅ Regulatory Reporting: Automated SBP compliance reports (Python + SQL chaining), cutting manual effort by 70%
✅ RPA Bots: Built a Selenium-based compliance bot, saving 50+ hours/month in analyst workload
✅ Data Warehousing: Migrated 50+ TB structured/unstructured data on Cloudera stack (Hive, HDFS, Impala), cutting storage costs by 20%
💻 Skills:
☑ Languages: Python, R, Scala, SQL, Bash
☑ Generative AI: LLMs (GPT, LLaMA, Claude), LLM fine-tuning (LoRA, PEFT), RAG pipelines, LangChain, LlamaIndex, AI Agents, Vector Databases (Pinecone, Weaviate, FAISS, Milvus, ChromaDB), Prompt Engineering, Chatbots, Multi-Modal AI, Knowledge Graphs, Guardrails, XAI (SHAP, LIME)
☑ Big Data & Cloud: Cloudera, Hadoop (HDFS, MapReduce, YARN), Spark (PySpark/Scala, MLlib, Streaming), Kafka, Flink, Hive, Pig, Impala, Storm, Sqoop, Oozie, NiFi, Zookeeper, Databricks, Snowflake, Delta Lake, Data Warehouse Architecture, Presto, AWS (SageMaker, EMR, S3, Lambda, Redshift), GCP (BigQuery, Vertex AI), Azure (Synapse, ML, OpenAI)
☑ ETL & Data Engineering: Airflow, dbt, Cron, Pandas, NumPy, Spark SQL, Data Wrangling, APIs, Automation, ETL pipelines, OpenCV, BeautifulSoup, Scrapy
☑ Databases: SQL Server, MySQL, PostgreSQL, IBM DB2, MongoDB, Hive, Cassandra, Redis, Elasticsearch
☑ Machine Learning & Data Science: Predictive analytics (Deposit Prediction, Fraud Detection), NLP, Computer Vision, OCR, Supervised/Unsupervised Learning, Reinforcement Learning, Deep Learning (CNNs, RNNs, Transformers), scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, CatBoost, Hugging Face, AutoML, MLOps (MLflow, Kubeflow, DVC, Airflow
☑ Business Intelligence & Visualization: Power BI, Tableau, Looker, Qlik, IBM Cognos Analytics, Excel, Matplotlib, Seaborn, Plotly, PBI Report Server Configuration
☑ Development (Backend & Full-Stack): Python (APIs, automation, ETL, backend), Django, Flask, FastAPI, Streamlit, Node.js, React, WordPress (Elementor), Odoo ERP, AI SaaS apps
☑ Automation: RPA bots (Selenium), Web Scraping, ETL Workflow Automation
☑ DevOps & Tools: Git, Gitlab, Docker, Kubernetes, CI/CD pipelines, Jupyter, PyCharm, Anaconda Distribution
🌎 Trusted by clients in banking, fintech, e-commerce, and enterprise systems for writing clean, scalable, and production-ready code.
📩 Not sure where to start? Share your challenge with me, and I’ll map out a step-by-step AI/data strategy - no fluff, just actionable insights that you can apply right away.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Noman can start the project.
Delivery time starts when Muhammad Noman receives requirements from you.
Muhammad Noman works on your project following the steps below.
Revisions may occur after the delivery date.
SaaS use case (chatbot, analytics, workflow automation, knowledge base)?
Which AI API do you want integrated (OpenAI, Anthropic, Llama, HuggingFace?