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Final-year CSE student | Python • DSA • Backend & ML | Building secure systems and data-driven applications
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ShadowLink-VPN-System
December 23, 2025 – Present
Python-based encrypted client–server system implementing AES-256-GCM encryption and ECDH key exchange for secure data tunneling.
View ProjectMovie-Recommendation-System
December 23, 2025 – Present
Collaborative filtering based movie recommendation system using user–item interactions and embedding-based similarity scoring.
View ProjectSmart-Event-Manager
December 23, 2025 – Present
Backend system for managing college events, student registrations, and QR-based attendance using Python and MySQL.
View ProjectAndroid-Malware-Detection-System
December 23, 2025 – Present
Static Android malware detection system using permission-based feature extraction and supervised machine learning to classify APKs as benign or malicious.
View ProjectTCS-Codevita-Problems
November 18, 2024 – January 5, 2025
TCS-Codevita-Problems — GitHub repository
View ProjectLeetcode_Solutions
July 7, 2024 – January 5, 2025
Optimal solutions of leetcode with various approaches
View ProjectDataStructures-and-Algorithms
July 27, 2023 – January 5, 2025
Basics_of_datastructures_and_algorithms
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration across various Python domains. The projects are diverse, ranging from basic data structures to more complex systems like VPNs and machine learning models. This indicates a curious and self-motivated individual who is eager to learn and apply new technologies. The focus on Python aligns well with a Backend Engineer Python role. However, all projects are personal, which limits the assessment of collaboration and professional work environment fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a self-starter attitude and an interest in diverse technical challenges, but there is no direct evidence of teamwork, communication, or problem-solving in a professional setting.