Kamlesh Kumar
Grad Student at San Jose State University, San Jose, California.
About Me
Experience
2+ Years in R&DCompleted
20+ personal and industrial projectsSupport
Online 24/7
Greetings! I'm currently immersed in the dynamic intersection of Electrical Engineering and Artificial Intelligence at
San Jose State University, having transitioned from my undergraduate studies in India to pursue my MS. As a Student
Research Assistant under Dr. Kaikai Liu, I'm actively involved in an intriguing project on Autonomous Navigation,
harnessing the potential of Computer Vision and LiDAR data fusion.
My contributions extend to the research domain, where I've patented two prototypes in Image Processing and authored
research papers in industrial automation and medical image processing with a focus on deep learning.
Balancing academic rigor, hands-on industry experience, and a passion for cutting-edge technology, I look forward to
further exploration and meaningful contributions in the realm of AI and Electrical Engineering.
My Education
Master of Science
- Aug. 2023 - May 2025
- GPA: 3.6/4.0
- Concentration: Artificial Intelligence
- Major: Electrical Engineering
- Coursework: Probability, Machine Learning, Neural Networks, Computer Vision.
Bachelor of Technology
- Aug. 2019 - May 2023
- GPA: 3.7/4.0
- Major: Electrical Engineering
- Minor: Aero Robotics
- Coursework: Engineering Math., Computer Programming, Digital Image/Signal Processing.
My Projects and Experience
Research Engineer, Adobe
May 2024- Nov 2024Image Matting
Video Matting
PyTorch
AWS
OpenCV
Cloud Computing
Git/Github
AssistAI- SaaS for AI Services
December 2023Next.js
React
APIs
GenAI
Student Research Assistant
October 2023- May 2024ROS
Jetson
TensorRT
C++
ONNX
OpenCV
Docker
Git/Github
ML Engineering Intern
December 2022 - May 2023PyTorch
Tensorflow2
Cloud Computing
Parallel Computaton
Deployment (GCP, AWS, Azure)
Git
Linux
Database (SQL, Hadoop)
Computer Vision Developer
May 2021 - September 2022OpenCV
Tensorflow2
PyQt5
Azure
Patents and Publications
Patents
Method And System Of Counting And Collecting Objects In Packaging Automation Platform · IN408712 · Issued Oct 10, 2022
Revolutionizes the way objects are counted and collected in packaging automation. This innovative system enhances efficiency, accuracy, and speed, paving the way for seamless operations in the packaging industry.
System For Detecting Positional Accuracy Of Workpieces In Jewellery Artwork And Method Thereof · IN433775 · Issued Jun 6, 2023
Introduces a groundbreaking system that ensures precise positional accuracy of workpieces in jewellery artwork. This cutting-edge solution empowers craftsmen to create intricate and flawless designs, elevating the artistry in the jewelry industry.
Publications
Assessing Human Visual Attention in Retail Human-Robot Interaction: A YOLOv8-Nano and Eye-Tracking Approach
ACM UMAP'24 · June 27, 2024 · DOI: 10.1145/3631700.3665195
Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals.
IEEE Latin America Transactions · Feb 02, 2024 · DOI: 10.1109/tla.2024.10431420
A Real-Time Object Counting and Collecting Device for Industrial Automation Process using Machine Vision.
IEEE Sensors Journal · April 10, 2023 · DOI: 10.1109/JSEN.2023.3267101
INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signalsINSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals.
Medical Engineering Physics, Elsevier · July 25, 2023 · DOI: 10.1016/j.medengphy.2023.104028
Pulse oximetry SpO2 signal for automated identification of sleep apnea: a review and future trends.
IOP Science · Nov 25, 2022 · DOI: 10.1088/1361-6579/ac98f0
Artificial Intelligence and Machine Learning Based Intervention in Medical Infrastructure: A Review and Future Trends.
MDPI Healthcare · Jan 10, 2023 · DOI: 10.3390/healthcare11020207
Testimonials

Ketan Bansal
VP Technology, SkyLark Labs.
Kamlesh stands out as a remarkably hardworking colleague with a strong grasp of machine learning. In the time we worked together, his ability to thrive under pressure was truly impressive. He consistently met tight deadlines, ensuring that our projects not only stayed on track but also reflected high-quality standards. What I appreciated most about Kamlesh was his reliability. Whenever there was a crunch, I knew I could count on him to get the job done—and done well. His dedication to swift and efficient project delivery made a significant impact on our team's success. I wholeheartedly recommend Kamlesh to anyone looking for a dependable and skilled ML professional who can deliver results when it matters most.

Dhruv Shantoshwar
Ex. Director Machine Learning, SkyLark Labs.
Kamlesh, our Machine Learning Engineering Intern, showcased exceptional expertise in PyTorch, Tensorflow, and OpenCV-Python during his tenure. He upgraded over 10 computer vision pipelines, significantly improving efficiency. Kamlesh's passion for AI led to his promotion as head of the city surveillance department, where he displayed strong leadership and product management skills. His journey reflects commitment, talent, and success in a challenging environment. We appreciate Kamlesh's valuable contributions and anticipate his continued growth. Thank you for your outstanding performance and dedication, Kamlesh.

Dr. Raghavendra H. Bhalerao
Assistant Professor, IITRAM.
I enthusiastically recommend Kamlesh for his exceptional work in computer vision during our fruitful three-year collaboration. Kamlesh's expertise and dedication have resulted in remarkable achievements, including two granted Indian patents and multiple research publications. Kamlesh consistently demonstrated an in-depth understanding of computer vision principles, translating them into practical solutions. His proficiency in developing complex algorithms and models for image analysis significantly contributed to the success of our projects, which encompassed object recognition, image segmentation, and visual tracking. Kamlesh's leadership skills shone through his effective project coordination and mentorship of junior researchers. He fostered a collaborative atmosphere that facilitated knowledge sharing. His exemplary communication skills played a pivotal role in disseminating our research findings through publications and presentations. The pinnacle of Kamlesh's achievements was the grant of two Indian patents, a testament to his innovative problem-solving abilities. Additionally, his research contributions enhanced our team's reputation in the computer vision community. I wholeheartedly recommend Kamlesh for future endeavors in computer vision or related fields. His technical prowess, dedication, and professionalism make him an invaluable asset. I am confident that he will continue to excel and make significant contributions wherever he chooses to apply his expertise.

Prince Kumar
Sr. Computer Vision Engineer
I have had the pleasure of working closely with Kamlesh , and I can wholeheartedly appreciate him for his exceptional skills and expertise in the fields of computer vision, deep learning, and machine learning. Kamlesh is a talented and dedicated professional with a strong foundation in OpenCV, Python, TensorFlow, Keras, and PyTorch. His proficiency in these technologies, combined with his deep understanding of machine learning concepts, makes him a valuable asset to any team. I have seen him tackle complex problems with ease and deliver innovative solutions that exceed expectations. One of Kamlesh's standout qualities is his commitment to continuous learning and staying up-to-date with the latest developments in the field. His passion for pushing the boundaries of what's possible in computer vision and deep learning is truly inspiring. Moreover, Kamlesh is not only a skilled practitioner but also an excellent collaborator. He communicates ideas effectively, works seamlessly with cross-functional teams, and consistently delivers high-quality results on time. His ability to translate intricate technical concepts into practical applications is remarkable. It's been a privilege to work alongside Kamlesh, and I have no doubt that he will continue to excel in his career and make significant contributions to the field of artificial intelligence.