Skip to content
View sayed-ashfaq's full-sized avatar

Highlights

  • Pro

Block or report sayed-ashfaq

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sayed-ashfaq/README.md
Typing SVG
Profile Views LinkedIn Email Resume Hire Me

rainbow line

💼 Professional Summary

I'm an AI Engineer and Data Scientist with expertise in building intelligent systems that solve complex business problems. I specialize in Generative AI, RAG applications, Deep Learning, and Data Science workflows.

My projects focus on

  • Building End to end Machine Leanring pipeline that retrains and handle data drifts
  • Production Standard AI RAG chatbots like multi-document, multi-modal chatbots and AI-powered productivity toos.
  • Advanced AI chatbot for user queries and FAQs answer by fetching internal documents to help the customers understand about the product and generate overall insights for Founder/owner.
  • Automated report generation using LLMs for stakeholder meetings

💡 Skills & Expertise

  • Languages & Tools: Python, SQL, BigQuery, Streamlit, Docker, FAISS, LangChain
  • AI/ML: Deep Learning, Neural Networks, NLP, Generative AI, RAG
  • Projects: Document Portal (RAG), AI-powered goal assistant, Multi-document chat systems
  • Other: Logging, custom exceptions, session management, end-to-end production pipelines

📂 Current Focus

  • Building industry-grade Generative AI projects
  • Developing AI tools that can be commercialized
  • Targeting high-paying AI/ML engineering roles globally

Pinned Loading

  1. Document-RAG-app Document-RAG-app Public

    Document Portal is an AI-powered RAG app for PDFs, enabling users to analyze, chat, and compare documents with logging, custom exceptions, and session management for reliable, production-ready work…

    Jupyter Notebook

  2. Customer-Churn-Prediction Customer-Churn-Prediction Public

    This project predicts customer churn (whether a customer will leave the service or not) using machine learning models. The model is deployed using Flask, allowing users to upload a CSV file and get…

    Jupyter Notebook 1

  3. Aviation-Accidents-EDA Aviation-Accidents-EDA Public

    This project analyzes aviation accident data to identify trends, contributing factors, and patterns that impact flight safety. The goal is to derive insights that can help improve aviation safety a…

    Jupyter Notebook

  4. Target-SQL Target-SQL Public

    In this project, I analyzed Target company's data using SQL in BigQuery, focusing on data extraction, manipulation, and performing various analytical queries to derive insights.

  5. TableauDashboard-Sales-Customer TableauDashboard-Sales-Customer Public

    I designed interactive Tableau dashboards with navigation, parameters, and clickable charts. Key features include KPIs, bar charts, and trend charts for sales and customer insights, enabling dynami…

  6. ecomm-mcp-prod-assistant ecomm-mcp-prod-assistant Public

    Python