I'm a final-year B.Tech (Artificial Intelligence & Data Science) engineer working at the intersection of Cybersecurity, Full-Stack Engineering, and Applied AI/ML. My experience spans building responsive, production-style web applications with React.js and Firebase, to conducting OSINT investigations, penetration testing, and vulnerability assessments as part of real-world security engagements.
I approach every build with a product engineering mindset — writing code that is functional, secure, and maintainable by design rather than security as an afterthought. I've authored and presented two IEEE-affiliated research papers on applied deep learning, and hold multiple Oracle Cloud Infrastructure (OCI) certifications spanning AI, Data Science, and Generative AI.
🎯 Open To:
- 🔐 Entry-Level Cybersecurity / Penetration Testing Roles
- 💻 Full-Stack Software Engineering Roles
- 🤖 AI/ML Engineering Internships & Graduate Roles
- 🤝 Open Source Collaboration & Research
Languages
Frontend
Backend & Databases
Cloud, DevOps & Security Tooling
| Domain | Proficiency | Details |
|---|---|---|
| Generative AI | ⭐⭐⭐⭐☆ | OCI Certified Generative AI Professional; applied GenAI concepts across certification tracks |
| Data Science & Analysis | ⭐⭐⭐⭐☆ | OCI Certified Data Science Professional; data analysis, visualization & ML fundamentals |
| Deep Learning | ⭐⭐⭐⭐☆ | Authored IEEE research on Leaf Disease Segmentation (ReLU-Activated U-Net) and Road Damage Classification |
| AI Foundations | ⭐⭐⭐⭐☆ | OCI Certified AI Foundations Associate |
| Applied Computer Vision | ⭐⭐⭐☆☆ | Image segmentation & classification research using deep learning architectures |
🌿 Leaf Disease Segmentation using ReLU-Activated U-Net
Research project presented at an IEEE Conference, focused on pixel-level segmentation of plant leaf diseases using a modified U-Net architecture with ReLU activation to improve segmentation accuracy for agricultural diagnostics.
| Category | Details |
|---|---|
| Stack | Python, Deep Learning, U-Net Architecture, Image Processing |
| Scale | Academic research dataset — pixel-level image segmentation |
| Performance | ReLU-activated U-Net tuned for improved segmentation precision |
| Security | N/A — Academic Research |
| Impact | Published & presented at an IEEE Conference; contributes to deep-learning-driven agricultural diagnostics |
| Repository | github.com/Jaiharshan (add project repo link) |
🛣️ Road Damage Classification using Deep Learning
Research project presented at an IEEE-supported International Conference, applying deep learning models to classify and detect road surface damage from image data — aimed at supporting automated infrastructure monitoring.
| Category | Details |
|---|---|
| Stack | Python, Deep Learning, Convolutional Neural Networks |
| Scale | Academic research dataset — image classification pipeline |
| Performance | Deep learning classification model for road damage detection |
| Security | N/A — Academic Research |
| Impact | Published & presented at an IEEE-supported International Conference |
| Repository | github.com/Jaiharshan (add project repo link) |
💻 Full-Stack Web Application Suite — Tek Pyramid Internship
Built responsive, production-style web applications during a full-stack development internship, from front-end UI to Firebase-backed authentication and data services.
| Category | Details |
|---|---|
| Stack | React.js, HTML5, CSS3, JavaScript, Firebase |
| Scale | Multiple responsive web application modules |
| Performance | Component-based front-end architecture with Firebase real-time backend |
| Security | Firebase Authentication & secure data handling |
| Impact | Strengthened front-end, backend integration, and deployment skills across the SDLC |
| Repository | github.com/Jaiharshan (add project repo link) |
🕵️ OSINT & Penetration Testing Engagements — Cybertronium SDN BHD
Contributed to real-world cybersecurity assessments involving OSINT investigations, mobile application penetration testing, and web application vulnerability analysis.
| Category | Details |
|---|---|
| Stack | OSINT Methodologies, Mobile App Penetration Testing, Vulnerability Assessment Frameworks |
| Scale | Multiple client-facing security assessments |
| Performance | Streamlined threat modeling & risk mitigation workflows |
| Security | Vulnerability assessments across mobile & web application surfaces |
| Impact | Directly contributed to real-world risk reduction; earned the Certified Penetration Tester credential |
| Repository | Confidential — Client Engagement |
Mar 2026 – Mar 2026
Contributed to real-world cybersecurity projects covering OSINT investigations, mobile application penetration testing, and web application vulnerability analysis.
- Conducted Open-Source Intelligence (OSINT) investigations to gather and analyze publicly available information for cybersecurity assessments
- Performed penetration testing on mobile applications and identified potential security vulnerabilities
- Participated in web application security assessments and vulnerability analysis
- Assisted in threat modeling and risk mitigation activities for real-world cybersecurity projects
- Conducted vulnerability assessments and provided recommendations to improve system security
- Earned the Certified Penetration Tester credential during the internship program
OSINT Penetration Testing Vulnerability Assessment Threat Modeling Risk Mitigation
Feb 2025 – Apr 2025
Developed responsive, user-friendly web applications and gained hands-on experience across the full software development lifecycle.
- Developed responsive web applications using HTML5, CSS3, JavaScript, and React.js
- Worked with Firebase backend services for data storage and authentication
- Participated in application deployment and testing activities
- Collaborated with team members to develop user-friendly web interfaces
- Gained hands-on experience in software development lifecycle and version control practices
React.js Firebase HTML5 CSS3 JavaScript Git
| Recognition | Details |
|---|---|
| 📄 IEEE Conference Author | 2 research papers authored & presented at IEEE / IEEE-supported conferences |
| 🎖️ Certified Penetration Tester | Awarded by Cybertronium SDN BHD during cybersecurity internship |
| 🌍 International Internship | Cybersecurity Intern — Cybertronium SDN BHD, Malaysia |
| 🖥️ Full-Stack Internship | Web Application Development Intern — Tek Pyramid |
| 📚 Career Essentials Certifications | Data Analysis, Generative AI, and GitHub Professional Development |
Oracle
Cybersecurity
ServiceNow
Career Essentials
current_focus:
learning:
- Advanced Penetration Testing & Red Teaming
- Cloud Security on Oracle Cloud Infrastructure (OCI)
- Applied Generative AI & LLM Engineering
building:
- Secure full-stack web applications with React.js & Firebase
- AI/ML research projects in computer vision
exploring:
- DevSecOps practices and secure CI/CD pipelines
- Cybersecurity automation tooling
open_to:
- Entry-Level Cybersecurity / Penetration Testing Roles
- Full-Stack Software Engineering Roles
- AI/ML Engineering Internships & Graduate Roles
"Building secure systems and elegant software — one commit, one assessment at a time."