Researching and engineering secure, scalable AI infrastructure.
Bridging the gap between adversarial machine learning and cloud-native defense systems.
Hi, I am Yeshwanth Raj Selvaraj, a Computer Science Engineering student (Cyber Security) specializing in AI/ML systems engineering, LLM-driven automation, and cloud security architecture. Proven ability to design and ship production-grade platforms combining Reinforcement Learning, Generative AI, Graph Neural Networks, and adversarial ML with AWS, Kubernetes (EKS), Docker, and Terraform for secure, scalable infrastructure. Strong foundation in offensive/defensive security (VAPT, threat modeling, DevSecOps, MITRE ATT&CK) paired with deep applied AI expertise. Author of a peer-reviewed ML publication (95.35% accuracy, 0.948 ROC-AUC), multi-hackathon winner, and active researcher in Quantum Machine Learning (QML) and Post-Quantum Cryptography (PQC).
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Engineered a digital twin-based platform for production-safe vulnerability discovery and attack simulation. Applied DQN-based Reinforcement Learning to autonomously discover multi-stage attack paths and GAN-driven anomaly detection to surface zero-day vulnerabilities.
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Built a multi-cloud IAM forensic framework spanning AWS, Azure, and GCP. Combined graph analytics with ML-based threat classification, mapping detected behaviors to the MITRE ATT&CK framework and generating automated forensic reports.
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Developed a network forensics platform for deep packet inspection (DPI) and analysis of encrypted traffic using NetFlow/IPFIX and PCAP processing. Implemented JA3 TLS fingerprinting and eBPF-based traffic attribution for real-time adversarial identification.
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Built an LLM-powered platform for automated resume parsing, skill extraction, and role-suitability scoring. Automated end-to-end discovery workflows using secure authentication, browser automation (Playwright), and intelligent data extraction.
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- Programming Languages: Python, Java, C++, Go, JavaScript, SQL, C
- AI/ML & Data Science: GenAI, LLMs, Deep Learning, RL, NLP, Computer Vision, GNNs, Multi-Agent Systems, XGBoost, LightGBM, CNNs, RNNs, SHAP, GANs
- Frameworks & Libraries: PyTorch, TensorFlow, PyTorch Geometric, FastAPI, Flask, LangChain, Ray Serve, Ray RLlib, vLLM, NumPy, Pandas, Scikit-learn
- Cloud, DevOps & MLOps: AWS (EC2, Lambda, API Gateway, IAM, VPC, WAF, CloudTrail), Docker, Kubernetes (EKS), Terraform, CI/CD, Infrastructure as Code (IaC), Zero Trust Architecture
- Cybersecurity & Security Tools: OWASP ZAP, Nuclei, Metasploit, Burp Suite, Wireshark, Nmap, Kali Linux, VAPT, DevSecOps, Threat Detection, Network Forensics, MITRE ATT&CK, eBPF
- Databases & Analytics: MySQL, PostgreSQL, MongoDB, ELK Stack, ETL Pipelines, Tableau, Power BI, NetworkX
- Web & Developer Tools: React.js, Node.js, Express.js, HTML5, CSS3, REST APIs, Linux, Git, GitHub, Bash, Playwright, Streamlit, Android Studio, VS Code, Figma
Programming Languages
AI/ML & Data Science
Cloud, DevOps & MLOps
Cybersecurity & Analytics
Databases & Web Tools
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