Senior Lead Engineer @qualcomm M.Tech CSE, NITK C++ | Java | Python | Cryptography | Machine Learning | Deep Learning | ASPICE
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National Institute of Technology Karnataka
Data Scientist
June 18, 2026 – Present
C_Programming_course_qual
July 25, 2020 – July 25, 2020
C_Programming_course_qual — GitHub repository
View ProjectCollege-Portal-using-RBAC-
January 18, 2020 – July 23, 2020
RBAC model to access control for College with 3 Entities: Faculty, Student and TA. Each can have multiple roles.
View ProjectCryptographic-Algorithm-implementation-and-validation-of-SHA3-and-XTS-AES-CAVP-
July 10, 2019 – October 21, 2020
One of the important steps in certifying cryptographic algorithm is Cryptographic Algorithmic Validation Program (CAVP). NIST has enunciated a procedure for carrying out algorithmic validation as implemented for publicly known as well as non-publicly known key ciphers and their known variants. NIST has also provided for each of these algorithms a set of test vectors and expected response. The algorithm that we have chosen for implementation are hash function (SHA3 bit oriented) and block cipher mode of operation (XTS-AES). Their implementation is not publicly available. SHA3 algorithm uses Keccak Permutation. We have implemented the algorithm in Java language on Windows based OS.
View ProjectMicro-Net-for-Retinal-Layer-Segmentation
March 10, 2019 – June 18, 2020
Micro-net is a convolution neural network (CNN) based deep learning architecture for segmentation of objects in microscopy images. We are implementing the same architecture for the Retinal Layer Segmentation.
View ProjectDeep-Learning-Tutorial
February 21, 2019 – September 29, 2019
In class all codes are here.
View ProjectPassword-Length-Prediction
February 9, 2019 – September 29, 2019
Using CNN predicting the length of the password. Given Hashed password, based on the length of pattern of the CNN for different length.
View ProjectAnomaly-Detection-Topology-Based
January 1, 2019 – January 22, 2019
This project is about anomaly detection in social network, completely on network structure. We use random forest algorithm to train and test our classifier. Also, we are going to see how the effect of increase of trees in forest to the accuracy of prediction.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and learning across various domains (deep learning, cryptography, web development). While this indicates curiosity, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team setting. The single listed professional experience as 'Data Scientist' is current but lacks details on responsibilities or team interaction. The diversity of projects, including web development and C++ programming, suggests a broad interest rather than a focused alignment with a Data Scientist role, potentially indicating a less specialized profile.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.