Summary
Mr. Muhammad Rizwan is an Electronics Postgraduate with a strong background in Machine Learning, Deep Learning, and AI Robotics. He has been working with Python since 2019 and is proficient in TensorFlow, Keras, and PyTorch. Mr. Rizwan seeks opportunities to advance his career in AI and robotics, bringing hands-on experience with innovative research and a passion for solving real-world challenges.
Education
- MPhil in Electronics, University of Peshawar (2019-2022)
- Thesis: Appearance-Based Dynamic Hand Gesture Recognition using 3D Separable CNN
- BS in Electronics, University of Peshawar (2015-2019)
- Project: Mind-Directed Telepresence Robot
- FSC in Pre-Engineering, Agriculture University Public School, Peshawar (2013-2015)
- Matric, Kings Hall Public School, Peshawar (2011-2013)
Work Experience
- Lecturer, Government College of Technology, Peshawar (2022-2023)
- Supervised final-year projects on Raspberry Pi Pico and ESA 8086/88-3 Trainer Board
- Contact: Engr. Nasrullah Khan (+92 3459419377)
Research Interests
- Computer Vision
- Deep Learning & Machine Learning
- Robotics
- Indoor Localization
- Plant Disease Detection
- Hand Gesture Recognition
Skills
- Programming: Python, C, C++
- Frameworks: TensorFlow, PyTorch
- Hardware: Raspberry Pi, Verilog HDL
- Tools: PCB Designing, MS Office
- Languages: English (Professional Working), Urdu (Full Professional), Saraiki (Full Professional)
Research and Projects
- WIFI RSSI Fingerprint Based Indoor Localization (2024)
- Focus on 3D separable CNN for improved indoor localization.
- Plant Disease Detection (2022-2023)
- Developed a model for plant disease detection with high accuracy and efficiency.
- Dynamic Hand Gesture Recognition (2020-2022)
- Created a model using 3D Separable CNN for real-time hand gesture recognition.
- Virtual Reality-Based Telepresence Robot (2018-2019)
- Designed a robot for remote medical consultations in rural areas of Pakistan.