Kamal Preet Singh

Kamal Preet Singh

Overall In-charge / Coordinator, AI-SETU
Assistant Professor | AI/ML | Data Science
SGT University, Gurugram, India

Professional Experience

Academic Experience

Overall In-charge / Coordinator, AI-SETU

🎓 The SGT Centre for AI Excellence, SGT University, Gurugram, India
Oct 2026 – Present

  • Leading AI-SETU, the university’s Centre for AI Excellence, coordinating AI training, AI course development and AI adoption across schools and departments.
  • Designing a university-wide AI Foundation course and planning faculty development programmes on AI.
  • Coordinating AI-SETU initiatives with the AI Advisor’s office and the Research & Development directorate.

Assistant Professor, CSE (AI/ML)

🎓 School of Engineering and Technology, SGT University, Gurugram, India
Jul 2026 – Present

  • Teaching AI & Machine Learning (B.Tech Sem 7) and MATLAB (B.Tech Sem 5) with self-developed course material, quizzes and learning platforms.
  • Member of the university transformation team on behalf of the AI team, reviewing and improving institutional units such as the Incubation Centre.
  • Built the Student Growth Intelligence Framework (SGIF), an institution-level platform for quizzes, competitive events and learner analytics dashboards.
  • Supporting the R&D Cell, including the rubric and records system for the Structured Faculty Mentoring Programme.

Assistant Professor

🎓 Swami Rama Himalayan University (SRHU), Dehradun, India
Aug 2024 – Jul 2026

  • Delivered advanced courses in Artificial Intelligence, Machine Learning, Data Science, and Deep Learning.
  • Introduced industry-aligned modules including Introduction to Data Science, AI & Robotics, and Applied Deep Learning.
  • Led curriculum modernization aligned with NEP-2020 and Outcome-Based Education (OBE).
  • Supervised undergraduate and postgraduate research projects in AI, IoT, and Cyber-Physical Systems.
  • Engaged in interdisciplinary research, patent development, and academic mentoring.

Assistant Professor

🎓 Maharishi Markandeshwar University, Mullana, India
Aug 2023 – Aug 2024

  • Taught Machine Learning (Python implementation) and Object-Oriented Programming.
  • Integrated real-world datasets and project-based learning to strengthen applied AI competencies.
  • Guided student innovation projects in intelligent systems and predictive analytics.

Assistant Professor

🎓 University of Petroleum & Energy Studies (UPES), Dehradun, India
Jul 2015 – Feb 2020

  • Delivered courses in Computer Networks, Cybersecurity, Database Systems, and Programming.
  • Conducted Faculty Development Programs (FDPs) on LaTeX, cloud tools, and open-source technologies.
  • Contributed to institutional accreditation initiatives including NAAC, NBA, and NIRF.
  • Mentored students for internships, research projects, and technical competitions.

Assistant Professor

🎓 Lovely Professional University (LPU), Jalandhar, India
Jul 2013 – May 2015

  • Taught foundational courses in Data Structures, Programming, and Database Systems.
  • Supervised laboratories and academic capstone projects.

International Industry Experience

Data Engineer / Data Analyst

🏢 HCF Insurance, Sydney, Australia
Aug 2022 – Aug 2023

  • Designed enterprise-scale data pipelines using Talend and Snowflake.
  • Delivered analytics solutions supporting marketing intelligence, compliance, and strategic reporting.
  • Enabled data-driven decision-making across business and governance teams.
  • Supported AI/ML data engineering workflows for advanced analytics.

Associate Data Consultant

🏢 Servian, Melbourne, Australia
Jan 2022 – Jul 2022

  • Delivered cloud-native analytics solutions using Snowflake environments.
  • Built production-grade data pipelines and client-facing BI solutions.
  • Collaborated with enterprise stakeholders to translate business requirements into scalable architectures.

Data Analyst

🏢 Kepler Analytics Pty Ltd, Melbourne, Australia
Dec 2021 – Jan 2022

  • Conducted exploratory data analysis and statistical modeling for business intelligence reporting.
  • Built dashboards and visualization frameworks for operational insights.

Data Research Intern

🏢 Melbourne Data Analytics Platform, University of Melbourne
Jul 2021 – Dec 2021

  • Developed Python-based machine learning pipelines for NLP and Computer Vision applications.
  • Contributed to full research lifecycle: preprocessing, modeling, evaluation, and reporting.
  • Awarded Letter of Appreciation for research contribution.

Academic–Industry Integration

My career integrates:

  • Applied Artificial Intelligence research
  • International enterprise data engineering experience
  • Curriculum innovation and academic leadership

This cross-domain exposure strengthens:

  • Translational research impact
  • Industry collaboration
  • AI-driven system design
  • Experiential learning ecosystems

Primary focus areas include Artificial Intelligence, Data Science, Cyber-Physical Systems, and Intelligent Infrastructure.