B.E Information Technology graduate with demonstrated experience in Deep Learning, Computer Vision, Python. Quick learner with a zeal to excell.
● Streamlined data processing by implementing AI-powered OCR technology for receipt scanning reducing manual time taken by 80%
● Automated data entry into spreadsheets, enabling real-time analysis of key financial metrics reducing manual effort.
● Worked on Heat Transfer Optimization of Li-Ion battery packs for enhanced performance of BTMS
● Analyzed sensor data using Python for experimental evaluations and mapping best arrangements.
● Led Web Development and Artificial Intelligence Teams, consisting around 20 interns, worked on multiple research projects in the domain of AI in Computer Aided Diagnosis for Healthcare.
● Organized Events such as 4 day Deep Learning Tensorflow Workshop, 1 month Summer Internship Program for Deep Learning and Machine Learning (60 students each) from July 2021 to August 2021
● Implemented Machine Learning and Deep Learning pipelines for Glaucoma Diagnosis using OCT images.
● Explored computer vision based Pancreatic Cancer identification using CT Scans achieving 98% accuracy and COVID Identification from Chest X-Rays.
● Gathered, arranged and corrected research data and visualized research findings through data tables, graphs, presentations
CGPA - 8.32
12th CBSE - 96% [Best of Four]
Published in Expert Systems with Applications, Impact Factor
8.6
Link to Research Paper
Published in Multimedia Tools and Applications, Impact
Factor 3.6
Link to Research Paper
Not updated here, please check Github for latest projects
An extensive tool to collect image data using Webcam in in form of masks and thresholds etc.
Check it out !Use of Bing Image API to collect dataset, A deep learning model to classify the image of a flower into one the five classes
Check it out !A Car-Parking guidance system and a Handwash timer. You can also simulate these online using autodesk TinkerCAD
Check it out !