Naveen P J

MSc Computer Science (AI) graduate with a strong foundation in Artificial Intelligence, Machine Learning, and Software Development. Experienced in developing intelligent applications, conducting research, and building data-driven solutions through academic projects, internships, and collaborative initiatives. Passionate about leveraging technology to solve complex real-world problems and deliver impactful solutions.

Research Internship at Department of Computer Applications, CUSAT (2026-05 – Present)

• Contributing to a research project focused on automated malware analysis using Vision Language Models (VLMs) and multimodal learning techniques.
• Developing an agentic data-generation pipeline for transforming malware binaries into multimodal representations suitable for large-scale dataset construction.
• Supporting model fine-tuning, evaluation, and forensic reasoning experiments to improve automated malware understanding and classification.

Trainee Engineer Intern at Neuralcraft (2026-02 – 2026-04)

• Contributed to the development of a Digital Twin platform leveraging multi-agent AI architectures for autonomous browser and desktop task execution.
• Implemented semantic memory and retrieval mechanisms using vector embeddings and ChromaDB for contextual task planning.
• Assisted in designing agent workflows for task decomposition, autonomous execution, and long-term knowledge retention.

Cyber Security Machine Learning Research Intern at Swiftsafe (2025-12 – 2026-01)

• Evaluated and optimized XGBoost, Random Forest, and LightGBM models for cybersecurity anomaly detection, focusing on identifying rare malicious patterns within highly imbalanced datasets.
• Developed an automated optimization workflow using Bayesian Optimization and threshold calibration, resulting in an average F1-score improvement of 5–7% across 10+ anomaly detection model configurations.
• Investigated synthetic data generation strategies using CTGAN and TVAE, conducting comparative analysis of distribution fidelity and feature correlation preservation for rare-event augmentation.

MSc in Computer Science with Specialization in AI – CUSAT (2024 – 2026)

BSc in Computer Science – College of Applied Science (IHRD), Vadakkencherry (2021 – 2024)