$ cat about.txt
// About Me
AI-focused fullstack engineer and cybersecurity enthusiast with hands-on experience building intelligent systems and securing infrastructure. 1st place Loveable Hackathon winner with proven track record building full stack AI solutions leveraging LLMs and machine learning.
Skilled in developing end-to-end AI applications from ML pipelines to production-ready web applications using modern frameworks (React, Next.js, TypeScript), with deep expertise in malware analysis, reverse engineering, and penetration testing.
Education
Computer Science BSc at University College London
Achievement
1st Place Winner - Loveable Hackathon 2025
Expertise
Cybersecurity, Full-Stack Development, AI/ML
5
AP 5/5 Scores
3
Internships
10+
Projects
1500
SAT Score
$ ls experience/
Cybersecurity Analyst Intern
- ▹Developed C-based malware simulating real-world cyber threats using MITRE ATT&CK techniques
- ▹Performed reverse engineering and dynamic analysis using IDA Free, Wireshark, and Ghidra
- ▹Investigated software vulnerabilities to strengthen understanding of malware behavior and system security
Software Developer Intern
- ▹Collaborated with the head IT specialist to design and develop 2 automation tools for workflow optimization
- ▹Assisted in optimizing workflows by supporting the integration of digital systems into field operations
- ▹Contributed to maintaining code quality by writing and executing unit tests
Software Team
- ▹Led the coding team in developing and implementing robot control systems using Python and Java
- ▹Collaborated with team members to design, test, and optimize both autonomous and manual functionalities
- ▹Mentored new members in programming concepts and guided their coding development
$ cd projects/
AI-powered fact-checking platform that verifies news articles through recursive citation analysis, generating bias, accuracy, and clickbait scores alongside interactive source graphs with relationship mapping (cites, contradicts, republishes, derives).
- ▹Multi-stage verification pipeline with recursive citation tracing to identify primary sources
- ▹Achieved 85%+ accuracy in source attribution
- ▹PostgreSQL database with optimized caching strategies and user authentication
AI-powered hackathon teammate discovery platform analyzing attendees from Luma events with automated LinkedIn enrichment. Implemented GPT-4o-mini scoring system generating three metrics across 100+ profiles.
- ▹Chrome extension with automated web scraping pipeline
- ▹Smart caching system reducing API costs by 60%
- ▹DeepFace facial recognition with ensemble models (VGG-Face, Facenet512, ArcFace)
- ▹AI email generator with parallel processing for 10+ concurrent profiles
Built a Python Command & Control framework from scratch for malware research. Implements custom packet processing and ethernet protocols for educational cybersecurity purposes.
- ▹Custom protocol implementation from the ground up
- ▹Packet processing and ethernet protocol handling
- ▹Educational tool for understanding malware architecture
$ cat skills.json
Languages
Cybersecurity
ML & Data
Dev Tools
Web & Backend
Systems & Networks
// Independent Learning
$ ls awards/
Loveable Hackathon - 1st Place
October 2025Loveable x UCL AI Society
First place winner in an AI hackathon hosted by Loveable in partnership with UCL AI Society. Developed an innovative solution using web development, AI, and problem-solving skills.
AP Exam Excellence
Scored 5/5 on all 5 AP exams taken
- ▹Calculus BC
- ▹Computer Science A
- ▹Statistics
- ▹Macroeconomics
- ▹Physics C: Mechanics
SAT Achievement
1500/1600 total score
- ▹Mathematics: 790/800
- ▹English: 710/800
$ contact --init
Let's connect! Feel free to reach out for opportunities, collaborations, or just to chat.
// Send a Message
// Quick Note
I'm currently open to internship opportunities, research collaborations, and interesting projects in cybersecurity, software development, and AI. Feel free to reach out!