Values Perfection, even when no one is watching.
About Me
I'm Suyash— Someone who's allergic to boredom and voracious about knowledge.
If I haven't done it before, I'm probably going to try it. New tech concepts, medical
breakthroughs, random physical activities, I dive in headfirst and figure it out through
trial and error. That's how I learn best.
I'm a night owl who gets obsessively locked into problems. When something gets stuck in my
head, nothing else matters until I solve it. That moment when everything finally clicks?
That's what keeps me going.
I believe in deep connections over shallow networks. A few genuine people beat a crowd any
day.
Currently exploring cybersecurity as a SIEM intern while wrapping up my B.Tech. But
honestly? I'm just getting started.
Skills
I work with a modern tech stack to bring ideas to life, always striving to use the right tool for the job.
JavaScript
React
Flutter
Node.js
Python
Docker
AWS
Kubernetes
MySQL
C/C++
Wireshark
NMAP
SIEM
JavaScript
React
Flutter
Node.js
Python
Docker
AWS
Kubernetes
MySQL
C/C++
Wireshark
NMAP
SIEM
Featured Projects
Here are some of the projects I'm proud to have worked on. Each one presented unique challenges and opportunities for growth.
True Hire🎓
True Hire is a transformative job hiring platform designed to empower non- degree candidates and bridge the skill gap in modern recruitment💼.
Hybrid Post-Quantum File Encryption🔐
Hybrid post-quantum file encryption tool combining Kyber512 KEM with AES-256-GCM for quantum-resistant secure file storage.
Phishing Website Detector🛡️
An interactive AI-powered web application to detect phishing websites based on URL features. Built with Flask, Scikit-learn, and Plotly for real-time prediction and visualization.
Work Experience
My professional journey has allowed me to work on exciting projects and collaborate with talented people. Here's a summary of my experience.
Sept 2025 - PRESENT
SIEM Intern
Cloudaeon Pvt. Ltd.
Deployed and configured a Wazuh-based SIEM in a virtual lab to monitor SSH authentication, critical system files, and MySQL logs. Created custom detection rules, enabled alerting, and built dashboards for real-time security monitoring and validation.
2024 - 2025
Technical Team Member
Visionary Club
We built a real-time facial sentiment analysis ML project, voluntarily collected and cleaned our own dataset along with additional data, achieved 73% accuracy, and deployed it as a fully functional web application.
2023 - 2024
Member
Visionary Club
Explored different algorithms, understood their workflows and data handling, and built mini projects to strengthen core concepts.
Publications
I enjoy contributing to the academic community. Here are some of my published works and research papers.
Hybrid Post-Quantum File Encryption using Kyber512 and AES: Performance Evaluation and Scalability Analysis
Zenodo | 2026
Advanced AI Systems in Cybersecurity
Transitioning From Classical to Quantum‑Safe Cryptography | 2025
Design and Development of Sustainable Website Application for Startups
SKIPS Anvesh | 2024