Help & Supportcareers@gravityer.com
3rd year Student at R.V College of Engineering. Building, learning, and solving problems through code !
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
R.V College of Engineering
Data Scientist
June 19, 2026 – Present
EduAttend
June 4, 2025 – June 15, 2025
A mobile-first attendance tracking system for teachers to mark exam absentees, with centralized backend sorting and course-wise analytics for administrative staff.
View ProjectCtrl-IQ-Home
June 4, 2025 – June 12, 2025
Smart home automation system built using ESP32, sensors, and cloud integration. Ctrl IQ Home enables remote monitoring, appliance control, and real-time environmental sensing using Firebase and Blynk.
View ProjectGraph-Shield
June 1, 2025 – June 1, 2025
A Global Fusion Classifier for Cyber Threat Detection built on specialized models for Malware, Phishing, DDoS, and IoT attacks. Features include real-time detection, visual dashboards, attack simulation with causal sampling, and ensemble learning for high accuracy across diverse threats.
View ProjectNeuro-Fusion
May 30, 2025 – May 31, 2025
Multi-scale Graph Neural Network for early diagnosis of Alzheimer’s disease using genomic, proteomic, and neuroimaging data.
View ProjectFlow-a-gorithm
May 27, 2025 – May 27, 2025
Flow-a-gorithm is an algorithm-centric framework for detecting anomalies in network traffic through graph-based modeling and subgraph analysis. This project combines subgraph isomorphism, incremental detection algorithms, and a Graph Convolutional Network (GCN) to identify suspicious patterns in dynamic network flow data.
View ProjectBotNet-Insight
May 27, 2025 – May 27, 2025
An advanced deep learning solution for detecting IoT botnet attacks, specifically Mirai, leveraging the power of GNNs. This project transforms raw IoT device network traffic into dynamic graph structures and employs a GraphSAGE model for robust and efficient anomaly detection, enhancing the security posture of interconnected devices.
View ProjectPhish-Guard
May 23, 2025 – May 27, 2025
A comprehensive deep learning framework for phishing detection, utilizing Graph Neural Networks (GraphSAGE) to analyze interconnected web features. Features include temporal graph construction, causal learning for robust time-series analysis, and integrated noise injection testing to evaluate model resilience against data imperfections.
View ProjectMal-Aware
May 13, 2025 – May 31, 2025
This project focuses on the classification of malware based on system process behavior. It utilizes machine learning techniques to analyze features extracted from running processes to distinguish between benign and malicious software. The goal is to develop an effective and interpretable model for real-time malware detection. Tags (for GitHub):
View ProjectSecureNext
April 6, 2025 – April 7, 2025
Blockchain-Based Remote Voting System A secure and scalable remote voting solution that enables users to cast their votes digitally using biometric and Election ID verification. Leveraging blockchain for vote immutability and AI for fraud detection, this project aims to revolutionize the voting process with transparency, speed, and accessibility.
View ProjectReCloudify
February 27, 2025 – February 27, 2025
ReCloudify enables users to repurpose old laptops as remote storage devices, creating a personal cloud. Using a client-server model with socket programming, data can be seamlessly stored and accessed over a network. This decentralized approach offers cost-effective, private, and expandable storage without relying on third-party cloud providers.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards innovative and impactful applications of AI, particularly in cybersecurity and healthcare. This aligns well with a culture that values research, development, and practical problem-solving. The diversity of projects, from blockchain-based voting to smart home automation, indicates a broad interest and adaptability. However, the candidate's experience level is listed as 0, and the only listed experience is a future role, which makes it difficult to assess cultural fit in a professional team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and an ability to work on complex, multi-faceted problems. The focus on real-time detection and secure systems suggests an appreciation for operational robustness. However, without psychometric or English test scores, a comprehensive assessment of communication, stress handling, and team collaboration is not possible.