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JATINKUMAR PARMAR
AI/ML Engineer
Hello, i am Jatinkumar parmar, Machine Learning | Computer Vision Engineer with over 3 years of experience working in AI product development. and Overall 14 Years working in Deferent domain. Detection and Tracking algorithms including YOLOv8, YOLOv7, YOLOR, YOLOv4 in Tracking I have reviewed and implemented, SORT, DeepSORT and ByteTrack in different projects. I also have an hands on experience on Classical and Traditional Machine Learning Algorithms. I have also reviewed and implemented state of the art Deep Learning Algorithms in different project which include VGG16, ResNet50, GoogLeNet, MobileNet. I have expertise in Natural Language and Time Series Forecasting as well and done plenty of project for different clients as well. I have created a real time Stock Price Forecasting Web App using state of the art Time Series Forecasting Model. I have done deployment on AWS servers, Google Cloud and Heroku as well.
Careers
Data science
Shivaa AI LLP
- Youtube with aiml development
- Chatbot developmenass base
- IOT and AI Based Attendance System
- DEVops OPs manaement
- Pedesrestian Detection
- smart trafic Detection
- GEN AI + LLM +CHATBOT
DATA SCIENCE
Seemflow infometech solution pvt ltd
- LLM and gradio huggiface use ai development
- api development
- It seems like you may be referring to the concept of "stable diffusion responsibility" in the context of data analysis or modeling. However, this term doesn't correspond
- If you can provide more context or details about where you came across this term or its specific application, I would be happy to try to provide more information or clarification based on the information available up to that date.
Data science
PlausibilitySolutions as Karma lab
- I am an experienced machine learning engineer with a proven track record of designing and implementing highly effective ML systems and AI software. I specialize in consulting with managers to determine and refine machine learning objectives, transforming data science prototypes, and applying appropriate ML algorithms and tools to complex problems with multi-layered data sets.
- My skills include turning unstructured data into useful information, ensuring accurate user recommendations, and developing ML algorithms to analyze huge volumes of historical data to make predictions. I have extensive experience in running tests, performing statistical analysis, and interpreting test results to ensure optimal performance.
- I am committed to documenting machine learning processes and keeping abreast of developments in machine learning to continuously improve the quality and accuracy of the models I develop. With a strong focus on automation and predictive modeling, I am confident in my ability to provide top-quality solutions that drive results.
Data science manager
Madhuram automobile
- am a highly skilled software and hardware engineer with extensive experience in AI/ML, industrial material software development, office management, and research data dissemination. I specialize in providing innovative solutions for software and hardware-related issues and excel in synthesizing data through regular web scraping. ai tech ut work at automobile π π industry
- My expertise in object detection, drone movement control using ArUco markers, Raspberry Pi, yolov4, yolov5, labelimg, Mediapipe, computer vision, deep learning, CNN, DNN, image processing, DICOM, 3D slicer, ImageJ, camera calibration, medical computer vision, and anatomical coordinate system (RAS and LPS 3D Basis) is unmatched. I am proficient in Python3 (OpenCV, NumPy, PyTorch, Mediapipe, OOPs concept, and modules such as Deep DRR, cc3d, Numpy, OpenCV, medpy, pydicom, IntelOpenvino, etc.).
- I have a proven track record of improving the segmented image quality through advanced image processing techniques and replacing hard-coded values with dynamic values. I have worked on several projects such as the Sniffer Drone, where I worked on the detection module, created datasets named c_2 and Animal-5 in yolo format using labelimg, and executed training, testing, and validating pipelines on Colab and Kaggle notebooks.
- I am an expert in cross-validating results using 3D Slicer for 3D volume visualization and markup and ImageJ for 2D visualization, histograms, and plot profile. I have produced company guidelines and best practice documents based on consumer insight analysis. I am passionate about synthesizing data and making it easily understandable to all.
Software common support
SSM infotech solution Pvt Ltd
- used to Manage Day to Day export activities, coordination with vendors for material, timely filling and shipping to the respective countries, timeline management of ipaperwork, timely payments of them.
- For any new purchase, i use to do vendor management, new vendor search, price negotiation,making purchase requisition and purchase orders, timely delivery of material etc...
- Energy and management system, application testing with machine Language, technical support analysis, IOT using Raspberry pi, Python using raspberry pi, System common support,cloud computing,vpn,Aveva Wondervare
Education
Mahatma Gandhi University
Computer science
My projects
smart trafic Detection
No image available
"Smart traffic detection" typically refers to the use of advanced technologies and systems for the detection and management of traffic flow in urban or transportation environments. These technologies are employed to improve traffic safety, reduce
Role: ai engineer
Completed: 4/2023
Live project: https://github.com/parmarjh/project-traffic-management
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