Tufail Ahmad Shah
Training Advisor & Deep Tech Engineer
Tufail Ahmad Shah is a Deep Tech Engineer specializing in AI training development, curriculum design, and hands-on ML project creation. As a Training Advisor at Chinar Quantum AI, he mentors learners, builds end-to-end training programs, and develops practical AI tools and proof-of-concept systems.
He has contributed over 500 hours to AI educational program development, created technical content for global learners, and previously worked as a System Engineer at Infosys, gaining strong foundations in Python, SQL, SAP ABAP, and software engineering.
Experience
Training AdvisorPresent
Chinar Quantum AI
- Designed and delivered AI and data science curricula for multiple learner groups.
- Invested 500+ hours designing the FutureAI Innovators Program, including content development and outreach.
- Mentored learners across programs and guided hands-on project development.
- Created structured content for the Udemy course 'Understanding AI and Intelligence', taken in 40+ countries.
- Built POCs and exercises to demonstrate AI and data science concepts.
- Improved other internal programs through content design and delivery.
System Engineer
Infosys
- Developed proficiency in SAP ABAP, Java, and SQL during training.
- Built strong foundations in Python programming and analytics workflows.
- Mastered SQL for database management and data manipulation.
- Strengthened analytical thinking and problem-solving capabilities.
Education
Bachelor of Engineering in Aeronautics
MVJ College of Engineering
Projects
FutureAI Training Program - CQAI
Contributed end-to-end to the program by designing structure, creating content, mentoring learners, delivering sessions, and supporting marketing to expand global reach.
Understanding AI and Intelligence - Udemy Course
Developed technical content, supported delivery, and prepared course materials for global learners from 40+ countries.
Data Visualization App
Developed an interactive app using Python, Plotly, and Streamlit to upload datasets and generate dynamic visualizations for exploratory analysis.
Document Clustering (arXiv Dataset)
Performed clustering on research papers using UMAP for dimensionality reduction and algorithms such as K-Means and Spectral Clustering.
ChatWithPDF
Built a document-interaction chatbot using LangChain to extract and query PDF content.