Aspiring Network Security Engineer with hands-on experience in threat hunting, network analysis, system administration, and incident response. I build tools, code projects, and connect people technically and socially. Fluent in Punjabi, Burmese & English.
I'm an IT Specialist and aspiring Network Security Engineer with hands-on experience in threat hunting, network analysis, system administration, and incident response in higher education environments.
I enjoy creating security tools, competing in CTF challenges, coding personal projects, building PCs, and doing seva (selfless service).
I'm currently studying at San Jose State University — Concentration in Computer Network System Management, Minor in Business Management.
// playable pac-man on my real github contribution graph — arrow keys / wasd / swipe
Interactive site to help users recognize and avoid phishing scams. Built with HTML, CSS & JavaScript to educate through hands-on simulation.
AI-driven neurodevelopmental diagnostic platform built during the 13 Hacks Hackathon. Our team earned 2nd Place and won a $2,000 prize.
Competed as Team ZeroDaySpartans at SJSU Cloudathon 2026, finishing #10 out of 20 teams with 674 points. Investigated real-world Cerber ransomware, brute-force attacks, and C2 servers using Splunk across 100,000+ security events. Sponsored by AWS, Verkada, Adobe & Splunk.
Real-time satellite cybersecurity platform that tracks 134+ live satellites using the same SGP4 orbital propagation algorithm as NORAD. Detects GPS spoofing, signal jamming, command injection, replay attacks, and ground station phishing using an AI-powered Isolation Forest anomaly detection model — all rendered on a live Canvas 2D globe with live US Space Force TLE data from CelesTrak.
Award-winning offline survival AI built for the Qualcomm × Meta ExecuTorch Hackathon. Runs entirely on the Qualcomm Snapdragon 8 Elite (Gen 4) NPU — no internet, no cloud, no limits. LLM inference runs locally via Meta's ExecuTorch framework directly on Snapdragon silicon, enabling real-time AI in GPS-denied, zero-connectivity environments.
Solo-founded AI health platform for chronic illness patients — built to address the avg. 4–7 year diagnostic delay for conditions like lupus, fibromyalgia, and rheumatoid arthritis. Proprietary algorithms surface missed diagnoses and predict flares before they happen, powered by the Claude API.
AI-powered futures trading journal, backtester, and coaching platform powered by Claude AI. Upload your trades and get deep performance analytics, a full trade journal, live candle charts with indicators, and an AI coach that reviews every trade with strategy-specific feedback.
Console application to track income and expenses using file I/O and object-oriented programming. Clean, functional, and data-persistent.
Advancing skills through hands-on labs on TryHackMe, focusing on threat analysis, network defense, and incident response.
Preparing for the Cisco Certified Network Associate exam to strengthen networking, routing, and infrastructure security knowledge.
Attending San Francisco Chapter meetups to stay current on cloud security trends and real-world case studies.
Building skills through personal projects and CTF challenges to strengthen low-level and high-level programming fundamentals.
Combining cybersecurity and networking skills through CTF competitions, Splunk threat hunting, and hands-on tools like Zeek, Wireshark, and Velociraptor.
Researching the intersection of artificial intelligence and healthcare diagnostics — exploring how machine learning models can reduce assessment times for patients with neurodevelopmental conditions, improving accessibility and clinical efficiency.
Interested in collaborating, hiring, or just want to talk tech? I'm always open to new opportunities.