Professional Resume
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RAJ VARDHAN
Education
Rashtriya Raksha University
Bachelor of Technology in Computer Science & Engineering (Cyber Security); CGPA: 8.3
Aug 2024 -- May 2028
Technical Skills
Languages: Python, C++, Java, JavaScript
Cybersecurity: Network Security, Vulnerability Assessment, Web Security, OSINT, CTF
Tools: Kali Linux, Nmap, Wireshark, Burp Suite, Git, GitHub
Development: Node.js, Express.js, REST APIs, MongoDB, SQL
Platforms: Linux (Kali/Ubuntu), WSL, Docker, Jenkins, VirtualBox, VPS Administration
Experience
Founder & Full-Stack Developer | HostelBites
Feb 2026 -- Present
- Founded, designed, and launched the HostelBites food ordering ecosystem, securing official incubation and funding from AIC-RRU (Atal Incubation Centre - Rashtriya Raksha University) to develop a React web portal and React Native mobile app, serving 300+ active users in the first month of launch.
- Implemented secure JWT authentication, real-time cart APIs, push notifications, and vendor-student role authorization.
- Deployed and maintained the production servers on an Ubuntu VPS with Nginx reverse proxying, SSL encryption, and PM2 daemon clustering.
AI Engineer Intern | Dr. Pinnacle
Jan 2026 -- Apr 2026
- Built ETL and preprocessing pipelines using Python, Pandas, NumPy, and SQL for machine learning workflows.
- Processed datasets and integrated REST APIs for feature engineering and predictive modeling.
- Developed a Smart Stock Prediction System and explored Apache Airflow for scalable AI pipelines.
Projects
Notebook Cell Exporter — Jupyter to Python Converter
Apr 2026
Developed and deployed a web application that converts Jupyter Notebook (.ipynb) files into clean Python (.py) scripts, automating a process that improved conversion speed by 80%.
RRU-NSAB Arbitration Research Database Website
Nov 2025
Developed and deployed the official RRU-NSAB Arbitration Research Database hosted on the university domain (iadb.rru.ac.in). Implemented indexing features that improved research search efficiency by 50%.
ATLAS — Artificial Taxonomic Learning and Analysis System
July 2025
Contributed to an AI-driven taxonomic system identifying species signatures from environmental DNA (eDNA) datasets. Assisted in cleaning sequences and training classifier algorithms, achieving 89% accuracy.
Certifications
- ISC2 Candidate (ISC2 Consortium)
- Certified Network Security Practitioner (SecOps Group)
- Certified Privacy and Protection Security (Hack & Fix)
Extra-Curricular
- NCC Cadet (RRU Battalion, 2024 - Present)
- Perplexity Student Partner (2025)