Technical Skills
- Programming Languages: C, C++, Python, Java, JavaScript.
- Machine Learning & AI: Deep Learning, Large Language Models (LLMs), Adversarial ML, Contrastive Vision–Language Pre-training (CLIP), NLP Data Augmentation, Prompt-based LLM Evaluation.
- ML/AI Libraries: PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas.
- Security & Privacy: End-to-End Encryption (E2EE) Protocols, Side-Channel Attacks, EEG/BCI Signal Analysis, Software Exploitation (Buffer Overflow, ROP, Format-String), Defenses (CFI, Bounds Checking, Software Fault Isolation), Fuzzing, Symbolic Execution.
- Databases: PostgreSQL, Relational (RDBMS), Apache Cassandra (NoSQL), Object-Oriented Databases.
- Cloud & Big Data: AWS, Apache Hadoop, Apache Spark, Serverless Computing.
- Frameworks & Tools: Spring Boot, Docker, Kubernetes, Knative, CUDA, MFC.
- Developer Tools & Systems: Git, Linux/Unix.
