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Devops Engineer with less than a year in Cloud Infrastructure & AI/ML
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Network and Software Engineering student specializing in DevSecOps and Cloud Infrastructure. Experienced in deploying secure Kubernetes environments, IAM solutions, and scalable web applications. Seeking an internship to leverage my expertise in modern cloud architectures.
National Institute of Applied Sciences and Technology (INSAT)
Engineering Degree · Security and networking
September 1, 2022 – January 1, 2027
Tritux
DevOps & Security Intern
June 1, 2025 – August 1, 2025
India
JE Insat
Software Development Intern
July 1, 2024 – August 1, 2024
India
Respiratory Sound Classification
April 1, 2026 – April 1, 2026
Fine-tuned AST+SAM on ICBHI 2017 for 4-class respiratory sound classification, surpassing the reference paper (arXiv:2512.22564) on all metrics. Modeling: SAM optimizer + Focal Loss (y=2) + three-layer imbalance handling (WeightedRandomSampler, per-class weights, label smoothing). Results: Se=0.6894, Sp=0.7506, Score=0.72 under a stricter patient-wise split; spectrogram caching reduced training time 12x. Technologies: Python, PyTorch, HuggingFace Transformers, Scikit-Learn, SpecAugment.
View ProjectEnergy-Aware AI Agent for Edge-IDS (PFA)
February 1, 2026 – May 1, 2026
Four-tier federated IDS for medical IoT jointly optimizing detection accuracy, energy efficiency, resource allocation, and data privacy. Detection: Three-stream hybrid (CNN+IF / MLP / signature engine) fused via weighted voting — 91.43% accuracy, 94.15% F1, 96.61% recall post-federation. Federated Learning: FedAvg via Flower across 10 rounds; CNN +8.88%, MLP +2.98%. Resource Optimization: DQN agent for client selection & bandwidth allocation J=0.2907, 20.97% below random, 4.90% below greedy. Privacy: X25519 ECDH masking + SHA-256 hash chain verification. Technologies: Python, TensorFlow, Scikit-Learn, Flower (flwr), PyTorch, Docker
DevSecOps Pipeline Project
June 1, 2025 – June 1, 2025
Building a complete end-to-end DevSecOps pipeline for a 3-tier application. Introduced vulnerabilities to test and secure the CI/CD pipeline. Integrated security checks and Docker-based deployment strategies.
View ProjectCultural Fit Analysis
The candidate's involvement in diverse projects (DevSecOps, AI/ML) and organizational activities (ACM INSAT, Securinets INSAT) indicates a broad interest in technology and a willingness to engage in community and leadership roles. This diversity suggests adaptability and a collaborative mindset. The focus on security and networking aligns well with a DevOps Engineer role, particularly in environments prioritizing secure development practices.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and organizational roles. The 'ML for Kids' initiative shows leadership and communication skills. The 'Dakest Hour CTF' role indicates strong organizational and logistical capabilities, which are valuable in a DevOps context for managing deployments and incidents. The candidate's profile suggests a proactive and learning-oriented individual.