About Me
I am a passionate and results-driven professional with a strong foundation in
cybersecurity, cloud computing, and artificial intelligence.
My expertise lies in designing and implementing robust security solutions,
architecting scalable cloud infrastructures, and developing intelligent
AI/ML models to solve complex real-world problems.
With a keen eye for detail and a commitment to continuous learning, I thrive
in dynamic environments where I can leverage my interdisciplinary skills
to build secure, efficient, and innovative systems. I am dedicated to
staying ahead of emerging threats and technologies, ensuring that the
solutions I create are not only effective but also future-proof.
My goal is to contribute to projects that push the boundaries of technology,
making digital environments safer, more accessible, and more intelligent.
Let’s connect and explore how my skills can benefit your team or project!
Innovating at the intersection of security, cloud, and AI.
My Skills
Cybersecurity
- • Penetration Testing
- • Vulnerability Assessment
- • Security Auditing
- • Network Security
- • Endpoint Security
- • Incident Response
- • Threat Intelligence
- • Compliance (GDPR, HIPAA)
- • SIEM
- • Firewalls
Cloud Computing
- • AWS (EC2, S3, Lambda, VPC)
- • Azure (VMs, Blob Storage, Functions)
- • Google Cloud (Compute Engine, GCS, Cloud Functions)
- • Containerization (Docker, Kubernetes)
- • Infrastructure as Code (Terraform, CloudFormation)
- • Serverless Architectures
- • Cloud Migration
- • Cost Optimization
AI & Machine Learning
- • Machine Learning (Scikit-learn, TensorFlow, PyTorch)
- • Deep Learning
- • Natural Language Processing (NLP)
- • Computer Vision
- • Data Preprocessing
- • Model Deployment
- • Reinforcement Learning
- • Generative AI basics
- • Python
My Projects
Secure Cloud Data Lake
Designed and implemented a highly secure data lake on AWS, ensuring data encryption at rest and in transit, access control, and compliance with industry standards. Utilized S3, IAM, KMS, and CloudTrail.
S3
IAM
KMS
CloudFormation
Python
AI-Powered Threat Detection System
Developed a machine learning model using TensorFlow to detect anomalous network behavior and potential cyber threats in real-time. Integrated with SIEM for automated alerts and incident response.
TensorFlow
Keras
Scikit-learn
SIEM Integration
Web Vulnerability Scanner
Built a custom web application vulnerability scanner in Python, capable of identifying common OWASP Top 10 vulnerabilities like XSS and SQL Injection. Features detailed reporting.
Flask
OWASP
Penetration Testing
Experience & Education
Professional Experience
Cybersecurity Analyst
Tech Solutions Inc.
Jan 2023 – Present
Monitored security systems, responded to incidents, conducted vulnerability assessments, and implemented security policies.
Cloud Engineer
Global Innovations
Aug 2020 – Dec 2022
Designed and deployed scalable cloud infrastructure on AWS and Azure, managed CI/CD pipelines, and optimized cloud costs.
Education
M.Sc. in Computer Science (Specialization in AI)
University of Technology
2018 – 2020
Focused on machine learning algorithms, deep learning, and natural language processing.
B.Sc. in Information Security
State University
2014 – 2018
Covered network security, cryptography, digital forensics, and ethical hacking.
Video Projects
Automated Security Audit Demo
A demonstration of a Python-based tool for automating security audits of cloud configurations, highlighting identified vulnerabilities.
Cloud Migration Strategy Walkthrough
An overview of a successful cloud migration project, detailing the strategy, challenges, and solutions implemented for a large enterprise.
AI Model for Anomaly Detection
A visual explanation of an AI model trained to detect anomalies in network traffic, showcasing its real-time detection capabilities.
Incident Response Playbook Simulation
A simulated incident response scenario, demonstrating the steps taken to contain, eradicate, and recover from a cyberattack.