I am a B.E. student specializing in IoT, Cybersecurity, and Blockchain Technology. I am passionate about building secure, resilient infrastructure, automating cloud deployments, and integrating AI into threat detection systems. As a Certified Ethical Hacker (CEH v13), I approach system design with a robust security-first mindset, aiming to bridge the gap between heavy infrastructure scale and uncompromising baseline defensive architectures.
Open To:
- Cloud Security Engineering & DevSecOps positions
- Automated Penetration Testing & Vulnerability Assessment infrastructure tasks
- Smart Contract auditing & Secure IoT edge validation consulting
| Domain | Proficiency | Details |
|---|---|---|
| Intelligent Threat Detection | Advanced | Integrating core ML frameworks directly into production cloud security alert clusters to catch zero-day trends. |
| Vulnerability Analysis Auto-parsing | Intermediate | Using basic text models to parse complex edge network output logs for structural vulnerability profiles. |
Use the drop-down cards below to view my active development projects and system implementations:
🤖 AI-Powered Multi-Cloud Portability Platform
Designed a scalable MERN-stack infrastructure deployed automatically across AWS, Azure, and GCP using Terraform and Docker, integrated with Prometheus/Grafana monitoring dashboards.
| Metric | Specification |
|---|---|
| Stack | React, Node.js, Express, MongoDB, Terraform, Docker, AWS, Azure, GCP, Prometheus, Grafana |
| Scale | Multi-cloud dynamic container clusters managing isolated test nodes across 3 major provider platforms |
| Performance | Automated infrastructure provision deployment schedules optimized under 4 minutes flat |
| Security | Hardened security groups, unified cloud credential management, and locked orchestration permissions |
| Impact | Achieved complete platform redundancy across decoupled cloud providers with zero hard-coded dependencies |
🔗 OPDP Act 2023 Compliance System
Developed a secure full-stack platform utilizing decentralized ledger architectures to create immutable, tamper-proof logs for complex digital financial audit trails.
| Metric | Specification |
|---|---|
| Stack | Node.js, React, Blockchain Ledgers, Cryptographic Hashing |
| Scale | Designed to comfortably support real-time cryptographic asset compliance state logging |
| Performance | Optimized linear append latency ensuring prompt transactional ledger processing maps |
| Security | Cryptographically chained audit histories preventing historical logging manipulation vectors |
| Impact | Met legal-grade standard criteria for enterprise digital data transactional non-repudiation |
🛡️ Adversarial AI Attack & Defence Simulator
Built a robust Python/PyTorch simulation engine designed to replicate adversarial vector thrusts against localized machine learning frameworks while creating defensive defensive walls.
| Metric | Specification |
|---|---|
| Stack | Python, PyTorch, NumPy, Scikit-learn |
| Scale | Supported multi-variant test suites modeling a diverse selection of model perturbation scripts |
| Performance | High-performance generation of adversarial array payloads for active testing pipelines |
| Security | Isolated environment testing setups verifying classification variance under malicious inputs |
| Impact | Successfully mapped model classification drops, providing foundational data for defensive hardening |
☁️ AWS Cloud Security Hands-On Deployment
Deployed and verified a multi-tier AWS EC2 node architecture engineered with tightly defined security group rule configurations and active IAM firewalls.
| Metric | Specification |
|---|---|
| Stack | Amazon Web Services (AWS), EC2, IAM, VPC, Security Groups |
| Scale | Segmented staging network mapping isolated public/private access routes |
| Performance | Sub-millisecond pipeline latency utilizing AWS native virtual network architecture |
| Security | Least-privilege IAM profiles combined with strict stateful boundary ingress filtering policies |
| Impact | Published as a detailed 4-part technical documentation blog series for the cloud community |
🌾 Gram-Kavach (AI-Powered Rural Fraud Protection)
A prestigious Hackathon platform built using React, FastAPI, Twilio, and the Shashini API to process and intercept multilingual fraudulent communications targeting rural ecosystems.
| Metric | Specification |
|---|---|
| Stack | React, FastAPI, Twilio, Shashini API, Machine Learning Modalities |
| Scale | Real-time processing capable of ingestion from multi-language conversational endpoints |
| Performance | Fast translation-to-evaluation response cycles providing prompt localized user warnings |
| Security | Fully sandboxed payload evaluations keeping downstream communications secure |
| Impact | Placed prominently in competitive technical evaluations for societal defensive impacts |
🏭 Industrial Control System (ICS) Vulnerability Analysis
Leveraged practical combinations of Python, Nmap, and Wireshark to run comprehensive vulnerability checks and detect structural perimeter flaws in operational ICS hardware.
| Metric | Specification |
|---|---|
| Stack | Python, Nmap, Wireshark, Industrial Protocol Telemetry |
| Scale | Mapped broad operational hardware network segments containing live simulation test targets |
| Performance | Deep non-intrusive stream capture assessments evaluating active network connection nodes |
| Security | Passive stream tracking methodologies preventing physical service interruptions during audits |
| Impact | Identified critical unprotected entry zones, providing formal patching playbooks |
⚙️ DevOmps CI/CD Pipeline Lab
Configured a strict secure automation loop deployment using a Spring Boot architecture pushed through Jenkins, Docker, and Vagrant sandbox virtualizations.
| Metric | Specification |
|---|---|
| Stack | Spring Boot, Jenkins, Docker, Vagrant, VirtualBox |
| Scale | Complete environment replication bridging local development setups to immutable image states |
| Performance | Optimized compile-test-package intervals via multi-stage microservice image builders |
| Security | Sandboxed build orchestration preventing configuration bleed between active deployment layers |
| Impact | Established standard blueprint frameworks for robust software composition build verification |
🔍 AI-Assisted Network Anomaly Detection
Deployed advanced Zeek network parsing capabilities tied closely to structured SIEM schemas to run proactive monitoring analysis across live packet vectors.
| Metric | Specification |
|---|---|
| Stack | Zeek (Bro), SIEM Frameworks, Data Aggregators, Threat Signature Sets |
| Scale | Centralized log capture monitoring continuous connection streams simultaneously |
| Performance | Structured real-time analysis parsing system flags to catch malicious intent indicators |
| Security | Complete network state visibility matching signatures to known adversarial intrusion profiles |
| Impact | Decreased discovery times for unrecognized background reconnaissance attempts |
- Analyzed and systematically tested target web applications and edge-facing network architectures.
- Discovered application vulnerabilities and provided clear remediation playbooks for active network layers.
- Engineered and evaluated complex IAM structures and identity validation policies.
- Modeled zero-trust access management configurations to secure high-value data store nodes.
- Executed hands-on Vulnerability Assessment and Penetration Testing (VAPT) workflows.
- Addressed and parsed high-volume network traffic captures to target malicious system indicators.
#cloud-security #penetration-testing #network-security #devsecops #vapt #iam
| Recognition | Details |
|---|---|
| HBRP Research Publication | Co-authored and published the technical research paper: "Mitigating ARP Poisoning Via Modified ICMP and Voting Mechanism". |
| GitHub Contribution Awards | Earned official GitHub profile badges including PULL SHARK and PAIR EXTRAORDINAIRE for collaborative contributions. |
Use the interactive drop-down card below to view my full list of security and infrastructure credentials:
📋 Click to view my full list of Certifications
- 🏅 Certified Ethical Hacker (CEH v13) - EC-Council
- 🛡️ Certified Online Fraud Prevention Specialist - COFPS
- 💼 IBM SkillsBuild: Getting Started with Cybersecurity
- 🌐 TryHackMe: Completed 25+ Advanced Security Labs
- ☁️ Oracle Cloud Infrastructure (OCI) Foundations Associate
- ⚡ AWS Foundations: Getting Started with AWS Cloud Essentials
- ⚙️ DevOps Training Program - Cyber Defentech
- 🧠 Microsoft Career Essentials in Generative AI
- 🏆 Microsoft AI Skills Fest 2026 Badge
- 🐧 Cisco Linux Essentials
Learning:
- Complex Cloud Infrastructure Hardening Matrices & Multi-Tenant DevSecOps Routines
- Advanced Network Isolation Architecture Tactics under Strict Zero-Trust Deployments
Building:
- Automated Active Perimeter Port-Probing Scripts with Scaled Terminal Logic Tools
- Complete End-to-End Encrypted Edge Mesh Blueprints
Exploring:
- ML Telemetry Analysis Pipelines Applied Directly to Continuous Traffic Monitoring Platforms
Open To:
- Infrastructure Engineering Research Cooperatives, Vulnerability Auditing Positions, and Cloud Security Integrations
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<p><i>"Security is not a product, but a process of continuous engineering validation."</i></p>
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