🎓 B.Tech in CSE (Networks & Cybersecurity) — Malla Reddy Institute of Technology & Science, Hyderabad (2024)
🔬 Published Researcher — UGC Care Group I Journal | Respiratory Disease Detection using CNN
🤖 Currently deep-diving into AI/ML — from classical algorithms to transformers and LLMs
🔐 Passionate about the intersection of AI + Cybersecurity — building intelligent defense systems
📍 Based in Hyderabad, India
| Title | Journal | Year |
|---|---|---|
| 🫁 "Respiratory Analysis Detection of Various Lung Infections Using Cough Signal" | UGC Care Group I | 2024 |
Applied deep learning for automated detection of respiratory conditions from medical imaging data — demonstrating real-world impact of AI in healthcare.
Classical ML pipeline for detecting network attacks using the KDD Cup 99 dataset. Implements Random Forest, SVM, and XGBoost with SMOTE for class imbalance handling.
Pythonscikit-learnXGBoostPandasSMOTE
Fine-tuned BERT transformer model for classifying cybersecurity logs and detecting anomalous patterns using NLP techniques.
PythonHuggingFaceBERTPyTorchNLP
End-to-end AI-powered Intrusion Detection System combining classical ML and Deep Learning with real-time detection pipeline and REST API deployment.
PythonTensorFlowFlaskMLOpsDeep Learning
CNN-based deep learning model for automated respiratory disease detection from medical imaging. Published in UGC Care Group I Journal.
PythonCNNTensorFlowOpenCVMedical AI
akshay = {
"currently_learning" : ["Advanced ML", "NLP & Transformers", "MLOps", "Java Full Stack"],
"certifications" : ["Cisco Jr. Cybersecurity Analyst", "Google Cloud", "AWS Skill Builder"],
"open_to" : ["Research Collaborations", "Internships", "AI Projects"]
}
"Intelligence is not just about knowing — it's about learning, adapting, and building."
Open to research collaborations, AI projects, and exciting opportunities 🚀