Lokesh L.K.S

ML Engineer. Security Engineer. MLSecOps.

I build ML systems that detect threats, and I secure the infrastructure that runs them.

My work sits at the intersection of machine learning and security — training Temporal CNN detection models on real DDoS datasets, automating IAM pipelines at enterprise scale, building cloud detection logic to NIST 800-53 standards, and integrating LLMs to make alerts actionable instead of noisy. I've cut false positives in network IDS by rethinking feature selection, refactored AWS IAM to align with CIS benchmarks, and built a local AI inference stack to understand what production deployment actually costs at the compute layer.

Currently finishing my MS in Cybersecurity at Penn State (May 2026, 3.8 GPA). Building a Temporal CNN-based IDS on 540K+ real DDoS flows. Simulating QUIC router queues to chase P99 tail latency. Reading DDIA. Playing chess badly.

Explore: About me → | Projects → | Skills → | Blog →

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📧 lokeshlks01@gmail.com 💻 GitHub ♟️ Chess.com 📍 State College, PA

Certifications: CompTIA Security+ | Cisco CCNA

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Available June 2026 — AI engineering, MLSecOps, MLOps, or security engineering. F-1 OPT eligible.