
Timeline
About me
Big Data Analytics@CDAC Bengaluru | M.Tech(AI)@NITJ | IITM | NLP | ML | AI
Education

Vidya bharati school sikar
2015 - 2016Senior secondary(xii) mathematics 86.00
Indian institute of technology, madras
-Diploma in data science
Rajasthan technical university, kota
2016 - 2020Bachelor of technology - btech electronics and communications engineeringActivities and Societies: Projects: The title of the project is "Smart Home Surveillance. This project is focused on developing a surveillance system that detects motion and responds rapidly by capturing an image and relaying it to an administrator device through the internet platform. In this Project, I have worked with RaspberryPi and micropython . This project was also acknowledged in the newspaper.

Dr b r ambedkar national institute of technology, jalandhar
2021 - 2023Master of technology - mtech artificial intelligence 8.8/10 cgpaActivities and Societies: Research coordinator at Department of Centre for Artificial Intelligence Courses:Foundation of Probability and StatisticsComputer Programming Basics with PythonData Science and AnalyticsAdvanced Data Structures and Algorithms Principles of Artificial Intelligence and machine learningComputer Vision and Natural Language ProcessingFoundation of Deep learningLinear Algebra and OptimizationMedical AI
Experience
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Centre for development of advanced computing (c-dac)
Jun 2022 - Jul 2023Project intern->Attention-Based Deep Neural Networks for Low-Resource Indian Regional Language Analysis Fine-tuning BERT and IndicBERT transformers for Kannada language parts of speech tagging Technology stack: Pytorch, Torchtext library, Python, Deep learning, Tensorflow In cross validation, it achieved 94% accuracy.-> Brain tumor detection and segmentation from MRI images using deep learning and machine learningtechniques Annotation has been performed on the dataset containing 250 images. Furthermore, by using data augmentationtechniques,thedataset was increased to 2000 images.The model was trained for object detection tasks with techniques like CNN, XgboostonthePARAM Utkarsh supercomputer (Nvidia Tesla v100). For object segmentation implemented using Yolov5, Yolov7. ->Time series forecasting Bengaluru city’s Temperature, Humidity, CO2 level, PM 2.5, and PM 10 particles in the air for the next 24hourshavebeenforecasted. Implementing cutting-edge time series algorithms such as DeepAR on the MXnet framework, SARIMAX, and Prophet usingAutoTS. The accuracy of 96% was achieved using Prophet. Show less
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Centre for development of advanced computing (c-dac)
Sept 2023 - nowAi engineer (knowledge associate)
Licenses & Certifications

3d computer vision summer school
Iiit hyderabadMay 2022- View certificate

Foundations: data, data, everywhere
GoogleJul 2022 - View certificate

Microsoft virtual internship
MicrosoftMar 2022
Languages
- enEnglish
- hiHindi
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