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Schedule Interview NowMy name is Jay V. and I have over 8 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, NVIDIA Jetson, TensorRT, AI Model Training, PyTorch, etc.. I hold a degree in Bachelor of Technology (BTech). Some of the notable projects I've worked on include: Forklift Monitoring, Parcel Detection and Tracking, Tyre detection and tracking, Car, Cyclist and Pedestrian detection and tracking, Vehicle detection and tracking in aerial images, etc.. I am based in Ahmedabad, India. I've successfully completed 34 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
Main technologies
8 years
4 Years
6 Years
7 Years
Potentially possible
Matrix Comsec PVT LTD
Track speed of forklift, check if its near any human for safety
Model: I used a YOLO NAS model to make and teach a special computer program. This model is like a smart camera that can find parcels on conveyor belts very well. It's efficient and accurate, making su
I developed a system to detect and track tires on a conveyor belt for a specific organization, ensuring an accurate record of the tire manufacturing process. Model: I used a YOLO NAS model to create
Model: Using a YOLO NAS model, I created a strong and flexible model that can find and understand cars, cyclists, and pedestrians all at once. This model is quick and works in real-time, making it gre
Model: I used a YOLO NAS model to create a computer program that's really good at finding vehicles in aerial images. This model is fast and accurate, giving us real-time results from the pictures. Ad
Bachelor of Technology (BTech) in computer science and technology
2015-01-01-2019-01-01