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Software Engineer with less than a year in cloud security, AI/ML, and full-stack development.
A highly motivated B.Tech graduate in Computer Science and Engineering with 3 months of hands-on internship experience in Research and Development. Proven ability to design and implement cloud security frameworks, develop machine learning models for cyber attack detection (achieving 95% accuracy), and optimize network performance. Skilled in Java, Python, Spring Boot, React, and various data analytics and AI/ML techniques. Possesses foundational knowledge in distributed systems and cloud platforms like AWS, with a strong commitment to clean code and agile methodologies.
C.V Raman Global University
B.Tech · Computer Science and Engineering
August 1, 2020 – June 30, 2024
National Institute of Technology (NITT)
Intern
May 1, 2023 – July 1, 2023
Tiruchirappalli, Tamil Nadu, India
Multi-tier Algorithm based school ranking model
May 1, 2025 – June 1, 2026
Designed and implemented a data-driven ranking system using K-Median, K-Means, Hierarchical, Spectral, and Gaussian Mixture Models (GMM) to process large datasets efficiently. Applied algorithm design and complexity analysis to evaluate ranking accuracy across multiple datasets and identify the optimal clustering approach. Developed modular, reusable Python code in Jupyter Notebook, enabling efficient experimentation and comparison of models.
CryptoTrade Pro: Distributed Full-Stack Trading Platform
November 1, 2024 – June 1, 2026
Designed and built a multi-tier, distributed web application for cryptocurrency trading using Spring Boot (backend) and React (frontend). Integrated real-time market data using Gemini and CoinGecko APIs, enabling low-latency price updates and AI-assisted user interactions. Implemented secure transaction workflows including wallet transfers and bank withdrawals, ensuring data consistency using relational databases (MySQL). Developed authentication and authorization features such as secure login, two-factor authentication, and password recovery, improving system reliability and user trust. Followed Agile development practices, focusing on clean code, modular design, and iterative feature delivery.
Oracle Java Foundation
Oracle
June 1, 2026 – Present
Cisco CCNAv7 Networking Certified
Cisco
June 1, 2026 – Present
AWS Cloud Architecting
AWS
June 1, 2026 – Present
Network Defence Essentials
EC-Council NDE
June 1, 2026 – Present
Cluster based algorithmic ranking model
IEEE Xplore Publication
January 1, 2024 – Present
Advanced cloud security model - SFBRA
Cluster Computing Journal - Springer USA
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic research and a full-stack application, suggests adaptability and a broad interest in different technical domains. Engagement in competitive programming and multiple certifications indicates a self-driven individual who values continuous learning and improvement. The focus on security and distributed systems aligns well with modern software engineering challenges, suggesting a good cultural fit for a technically rigorous environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and development through multiple certifications and competitive programming. Project descriptions indicate an understanding of Agile methodologies, clean code, and modular design, which are positive indicators for operational fit. The academic projects and internship show an ability to work on complex problems and deliver tangible results.