Software engineer with an MS in Cybersecurity from Penn State and a MS in IT from Anna University. I work at the intersection of security, machine learning, and infrastructure β building systems that detect threats, scale reliably, and solve real problems. Currently hunting for roles where I can do all three.
- π¬ Researching CNN-based DDoS detection using traffic-to-image conversion (PyTorch)
- ποΈ Building a full-stack web platform for Lokesh Agro Foods
- π Certified Cisco CCNA and CompTIA Security+
- π§ Daily driving Arch Linux β btw
| Role | Organization | Focus |
|---|---|---|
| ML Software Engineer | Lokesh Agro Foods | Image classification for produce grading, automated billing systems |
| Platform Engineer Intern | Tvastr | AWS compliance engine across 1,000+ accounts, Elasticsearch query optimization |
| AI/ML Research Assistant | College of Engineering Guindy - Anna University | Metaheuristic feature selection + LSTM for network packet detection |
| Teaching Assistant | Penn State | Data Structures & Algorithms β C++, Python, Java |
| Project | Stack | Description |
|---|---|---|
| π‘οΈ DDoS Detection System | PyTorch, CNN | Temporal CNN converting network traffic to images for attack classification β 94% accuracy |
| π€ OpenClaw | Node.js, Kubernetes | WhatsApp automation bot deployed on K8s with CI/CD |
| π¬ Video Streaming Platform | MinIO, HEVC, FFmpeg | Object storage-backed streaming with adaptive HEVC transcoding |
| π E-Library | React, React Native, FastAPI | Cross-platform library management with mobile and web interfaces |
| π©Έ Blood Donor App | Spring Boot, PostgreSQL | Microservice-based donor matching and notification system |
| β‘ Static Site Generator | C++ | Zero-dependency SSG built from scratch in pure C++ |
| π QUIC Router Simulation | Python | Protocol-level simulation of QUIC routing behavior |
I'm actively looking for roles in AI infrastructure, cloud security, and applied ML.
If you're building something interesting β let's talk.
