Computer scientist, specialized in Robotics, Machine Learning, Deep Learning and Reinforcement learning
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Amrita University
Data Scientist
June 16, 2026 – Present
DeepTrackNet
February 13, 2019 – February 18, 2019
An End to End CNN framework for object detection and tracking
View ProjectTalk_on_Vehicle_Security
September 24, 2018 – September 24, 2018
Possible Attacks, Exploits and Vulnerabilities of Autonomous vehicles. uploaded the presentation along with images
View ProjectAutoDL
August 31, 2018 – August 31, 2018
A Deep Learning Automation Framework Library based on keras, sklearn for the automation of the machine learning and deeplearning algorithms training.testing,metrics,comparative analysis and visualisations
View ProjectDGADetector
August 30, 2018 – August 30, 2018
Code for the Book Chapter [Under Review] DGADetector: Design and Investigation of an Extensible Framework for Malicious Domain Prediction Using Deep Learning Algorithms
View ProjectReal-Time-Character-Level-Malicious-DomainName-Prediction-Using-Deep-Learning
July 24, 2018 – August 24, 2018
complete code for the model we have used in Shared task on Detecting Malicious Domain names (DMD 2018)
View ProjectNovel-Deep-Learning-Model-for-Traffic-Sign-Detection-Using-Capsule-Networks
March 26, 2018 – July 7, 2018
capsule networks that achieves outstanding performance on the German traffic sign dataset
View Projectawesome-kalman
March 10, 2018 – March 10, 2018
A curated list of awesome Kalman filter papers ,articles , applications, software and resources
View Projectadaptivecruisecontrol
March 6, 2018 – March 9, 2018
Acc using the LPC 2148 controller board with code written in C language in KEIL and simulated in Proteus
View ProjectAutonomouscar
November 6, 2017 – March 11, 2018
Autonomous RC Car using OpenCV,Python and Neural Network with Raspberry pi
View ProjectCultural Fit Analysis
The candidate shows a strong passion for data science and AI through numerous personal projects. The diversity of projects, ranging from traffic sign detection to malicious domain prediction and autonomous vehicles, suggests a broad interest and willingness to explore different applications of AI. However, without information on team-based projects or contributions to open-source, it's difficult to fully assess cultural fit regarding collaboration and adaptability within a structured team environment. The experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential mismatch in self-assessment or data entry.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approach, or communication style in a team setting.