Experience
Research Intern
Worked on state-of-the-art models in Deep Learning for DNA-Coding Estimation, at Medical Mechatronics Lab under Dr. Ren Hongliang. We achieved a SOTA accuracy using a Bottleneck Spatio-Temporal Attention Module of 88.9% & specificity & 89.0%, for the classification of code & non-code sequences. As a second project, designed a Pruning Algorithm based on a novel Attention Module, achieves a SOTA performance on VGG & Resnet architectures.
Summer Research Fellow, by IAS Academy
Worked on a novel work named "Retrieving Representative Samples from a Trained Classifier", a data-free approach in Deep Learning at Video Analytics Lab under Dr. R. Venkatesh Babu. Using kernels of a prior pre-trained model, implemented a data-free GAN for generating representative samples. Verified the samples by achieving an accuracy of 71.12% by student network on Knowledge Distillation task.
Summer Research Intern
Worked in the field of Object Detection and Visual Tracking at Computer Vision Lab of IIT Tirupati under the guidance of Dr. Rama Krishna Sai Gorthi. Designed a novel Eigen Vectors based pre-processing for a deep neural network object detector to detect rotated objects in images. Achieved an average accuracy of 85.06% on Natural Images.
Undergraduate Researcher
Worked on state-of-the-art models in Deep Learning for 3D Pancreas Segmentation, at NIT Raipur under Dr. Shrish Verma. Proposed Deep Dilation Network (DDN) extracts spatial contextual information by capturing different receptive fields.To avoid class-imbalance, we proposed a Weighted Fusion Loss (WFL). Results are – Dice Score: 83.3%, Sensitivity: 87.7%, & Precision: 83.0%. .
Education
National Institute of Technology, Raipur, India
CGPA: 9.22/10.00
Related Coursework: Data Structures, Algorithms, Operating System, Computer Architectures, Image Processing, Probability, Statistics, Algebra, Calculus, Artificial Intelligence, Entrepreneurship, Machine Learning, Deep Learning, Cryptography, Signal Processing, Embedded Systems, Microprocessor.
Kailash Vidya Vihar(J.K.), Nimbahera, India
Percentage : 91.00%
Subject studied: Physics, Chemistry, Mathematics, English Core, Painting.
Main Projects
Publications & Blogs
MNIST Digits Classification with PyTorch, PyTorch Lightning and PyTorch Ignite
Basic code structure explaining MNIST Digit Classification on GPUs using three famous PyTorch Libraries. GitHub: Jupyter NotebookSkills & Interests
- Operating Systems: Windows, Linux
- Programming Languages : Python, C, C++, MATLAB
- Deep Learning Frameworks : Tensorflow, PyTorch, Pytorch-Lightning, Caffe2, Keras
- Graphics APIs : Blender, MITK, ImageJ, RadiAnt, ITK-snap
- Miscellaneous : OpenCV, Numpy, Scikit-Learn, NLTK, GitHub, LATEX, MySQL, GCP, OpenAI Gym, Machine Learning, Computer Vision, Data Analysis, Microsoft Office
Awards & Certifications
- Ranked - 8th: In a class of 92 highly talented students in B.Tech Electronics and Telecommunication Engineering.
- Recieved a Summer Research Fellowship , hosted by Indian Academy of Science (IAS) for an internship at VAL, CDS, IISc, Bangalore.
- First Prize Award, for best startup project at Ignition 2018, NIT Raipur.
- Quarter-Finalist, Hero Moto-Corp Campus Challenge
- Quarter-Finalist, IICDC 2018 hosted by Texas Instruments and IIM Bangalore for project Fatique Crack Detector
Position of Responsibility
Head Coordinator (Former-Chairperson)
Conducted ICPC2T : First International Conference on Power, Control and Computing Technologies at NIT Raipur. Other Core Events are: Congress, and Technical Events
Overall Head Mentor
Organizes Central India's Largest Blood Donation Camp, at NIT Raipur (More than 350 Units).Other Core Events and Programmes are: 3rd Gender Awareness, Mock Placements, Free Tution Classes, and Motivational Career Sessions.
