Professional Experience
A summary of my academic and research journey, encompassing teaching, project development, and contributions in Cyber Security, Artificial Intelligence, and IoT domains.
Assistant Professor
School of Engineering and Technology, Department of Computer Science and Engineering
Pimpri Chinchwad University, Pune (PCU) | September, 2025 — Present
- Teaching students in Computer Science and Engineering, covering core subjects such as C Programming, C++, Computer Fundamentals.
- Guiding students in research-oriented and capstone projects.
- Actively contributing to curriculum design, academic planning, and the development of laboratory infrastructure for hands-on training.
- Mentoring students in innovative project-based learning aligned with current industry trends.
Junior Research Engineer
Indian Institute of Information Technology (IIIT) Allahabad | Dec 2021 — Feb 2024
- Worked on a Security Framework for IoT Networks funded research project involving authentication protocol design using pairing-based cryptography.
- Performed formal verification of protocols and informal analysis for resistance against common attacks.
- Developed and simulated cryptographic algorithms for constrained IoT environments to ensure low-latency secure communication.
Junior Research Fellow
Centre for Advanced Studies, Dr. A.P.J. Abdul Kalam Technical University, Lucknow | 2021
- Contributed to a Blind Assistive Device project integrating deep learning-based object detection, semantic segmentation, and audio feedback systems.
- Performed data preprocessing, model training, and deployment of real-time inference pipeline using Python and OpenCV.
Research Assistant Intern
Indian Institute of Technology (IIT) BHU, Varanasi | 2020
- Conducted an extensive literature review on advanced security mechanisms integrating Artificial Intelligence (AI) and Internet of Things (IoT) for healthcare applications.
- Designed and developed an intelligent AI-IoT–based medical image security system leveraging Deep Learning models for authentication and anomaly detection in clinical data.
- Implemented experimental modules using Python with deep learning frameworks and integrated video analytics, Natural Language Processing (NLP), and Large Language Models (LLMs) for automated report interpretation.
- Contributed to research discussions and documentation aimed at enhancing secure and intelligent healthcare data transmission frameworks.
Research Intern
Indian Institute of Technology (IIT) Kanpur | 2019
- Performed an in-depth literature review and conducted a comprehensive study on object recognition techniques for intelligent vision-based systems.
- Implemented experimental models in Python using Machine Learning algorithms for object recognition and classification tasks.
- Evaluated and compared various recognition approaches in terms of accuracy, computational efficiency, and real-time adaptability for embedded systems.
- Collaborated with researchers to explore integration of AI-based image analysis with emerging IoT and security applications.