Muhammad S.

I'm a Generative AI Developer and Data Scientist based in Ontario, Canada, with a focus on: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI Systems Low-code Automation using n8n I build intelligent, production-ready applications that combine LLMs with real-time data, automation pipelines, and decision-making frameworks. From chatbots and AI agents to workflow orchestrations, I use tools like LangChain, LlamaIndex, and ChromaDB to develop scalable AI-powered systems. Alongside my AI work, I bring a solid background in data science, including data cleaning, predictive modeling, deep learning, and dashboard development using Python, R, Power BI, and Tableau. I'm open to contract-based projects, both large and small. I thrive in collaborative environments with open communication and clear timelines. 🧠 Core Skill Portfolio 🧩 LLMs & Generative AI LLMs: OpenAI GPT, Claude, Cohere, Mistral Frameworks: LangChain, LlamaIndex, HuggingFace Transformers, CrewAI, AutoGen RAG Systems: End-to-end pipelines with vector databases (FAISS, ChromaDB, Weaviate) Embedding & Prompt Engineering LLMOps: Fine-tuning, evaluation, scalable API deployment 🤖 Agentic AI & Automation Autonomous Multi-Agent Systems using LangChain Agents & CrewAI Workflow Automation with n8n (integrating LLMs, APIs, and cloud tools) Custom AI pipelines for decision-making and task automation 📊 Data Science & Machine Learning Data Cleaning & Feature Engineering Supervised/Unsupervised Learning: Regression, Classification, Clustering Time Series Forecasting Deep Learning: TensorFlow, Keras, PyTorch Natural Language Processing (NLP): NER, sentiment analysis, text classification 📈 Visualization & Dashboards Power BI, Tableau (interactive dashboards) Python Visualizations: Plotly, Seaborn, Matplotlib Streamlit & Dash for custom data apps ☁️ Cloud Platforms & Deployment Google Cloud Platform: Cloud SQL, BigQuery, ML APIs Amazon Web Services (AWS): SageMaker, Lambda, S3 Deployment Tools: Flask, Docker, GitHub Actions 🔧 Data Tools & Utilities Python & R for data scripting and analytics Jupyter, Google Colab for experimentation Web Scraping: Selenium, Scrapy SQL, Pandas, NumPy for data handling