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Cloud & Cybersecurity Enthusiast | AWS | Backend Developer | Building Secure & Scalable Systems
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Assessing your cultural and operational fit
TalentIQ
May 28, 2026 – Present
TalentIQ is an AI-powered recruitment and candidate analytics platform built using Flask, MySQL, and Scikit-Learn. It predicts candidate joining probability, parses resumes (PDF/DOCX) with skill matching, performs NLP-based interviewer feedback sentiment analysis, and detects potential fraud automatically.
View Projecttello-drone-control-analysis
May 4, 2026 – Present
This project demonstrates control and analysis of a Ryze Tello drone using Python, Netcat, and Wireshark. It explores UDP-based communication, multi-controller behavior, and potential security vulnerabilities in IoT devices.
View Projectleaf-disease-detection
March 30, 2026 – Present
leaf-disease-detection — GitHub repository
View ProjectAI-Powered-University-Assistant-Smart-Campus-Monitoring-System
January 15, 2026 – Present
An AI-Powered University Assistant and Smart Campus Monitoring System is an integrated solution that uses Artificial Intelligence (AI), Internet of Things (IoT), data analytics, and automation to enhance student experience, campus security, and operational efficiency.
View Projectcicd-flask-github-actions
December 21, 2025 – Present
cicd-flask-github-actions — GitHub repository
View ProjectNASA_Space-yatra
October 5, 2025 – October 12, 2025
Interactive Space Weather Education Platform
View Projectweather-scraper-project
September 17, 2025 – September 23, 2025
Enhanced weather scraper with animations and 3-day forecast
View Projectvrp-ga-prediction-
May 18, 2025 – May 20, 2025
This repository presents an advanced machine learning pipeline for predicting the outcomes of Genetic Algorithm (GA) runs applied to Vehicle Routing Problems (VRP). The approach is designed to save computational resources by forecasting GA performance early, without the need to complete full evolutionary runs.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. The diversity of projects, from drone control to web development, suggests a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment. The projects align with a data science role, but the breadth of technologies used (e.g., SCSS, HTML, CSS) might indicate a broader interest than a focused data science path.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but lack details on collaborative efforts or problem-solving approaches.