I'm a passionate computer engineering graduate student at San Diego State University, with a Bachelor's degree in Electronics and Telecommunication Engineering. I have hands-on experience in software testing, quality assurance, and automation, along with a strong foundation in IoT, machine learning, and embedded systems.
- Machine Learning and Artificial Intelligence
- Internet of Things (IoT) and Embedded Systems
- Software Testing and Quality Assurance
- DevOps and Automation Tools
- Research in Signal Processing, Wireless Networks, and VLSI
- Advanced Machine Learning and Neural Networks
- Cloud Computing and Azure DevOps
- VLSI Testing
- Embedded OS
- Full stack web development
- Data structures and Algorithms
- Open-source projects related to IoT, Machine Learning, and Software Testing
- Research in Machine Learning applications for real-world problems
- Innovative projects combining hardware and software solutions for smarter systems
[1] Chalke, S., Ganesan, S., Gajera, K., Reshim, P., Patil, N. (2022). The Freshness of Food Detection Using IoT and Machine Learning. In: Shakya, S., Balas, V.E., Kamolphiwong, S., Du, KL. (eds) Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_27
This publication presents an innovative IoT-enabled device using machine learning algorithms to accurately determine the freshness of food products. The project integrated various sensors (MQ-4, MQ-9, DHT11) and utilized cloud services for real-time monitoring, showcasing advancements in predictive analytics and IoT applications.
- Email: krishnagajera45@gmail.com
- LinkedIn: linkedin.com/in/krishnagajera
- GitHub: github.com/krishnagajera45
- She/Her
- I recently led a team to design an IoT device for detecting food freshness using machine learning algorithms, and I love exploring how technology can solve everyday problems!