I am a Full-Stack Software Engineer focused on designing indestructible, scalable architectures, intelligent AI integrations, and high-performance modern web applications. I don't just write code; I physically build systems that scale effortlessly.
Live Users Impacted1,000+ Students & Hackers |
Leadership RolesPresident, Open Source Initiative |
Production Deployments7+ Live Platforms Operational |
Prototyping Speed1st Runner-Up (24-Hour Hackathon) |
• Neural-LAM Weather Prediction Research
• AI-Native Collaborative Learning Systems
• Open Source Infrastructure for VST Community
An AI-native collaborative educational platform built from zero to production in a high-pressure 24-hour sprint.
- Core Engineering: Features a native Monaco editor (VS Code directly in the browser), sandboxed Piston API code execution environments, and a dynamic LLM (Gemini 2.0) core for evaluating user algorithmic logic.
- Tech Stack: React 18, Vite, Node.js, Express, Gemini 2.0 AI, Piston API.
- Status:
| [ View Source Code → ]
A high-performance, scalable event management ecosystem.
- Core Engineering: Engineered to process enormous attendee spikes. Successfully processed over 400 attendees in 30 hours with a 60% conversion rate and absolute zero downtime. Built utilizing virtual scrolling and request deduplication.
- Tech Stack: Distributed State Management, Secure API Routing, React, Scalable Node.js architectures.
- Status:
| [ View Source Code → ]
A centralized, autonomous mainframe engineered for the VST OpenSource Club.
- Core Engineering: An end-to-end ecosystem currently managing over 500+ active node registrations and content operations simultaneously. Integrated complex GitHub auto-syncs utilizing REST and GraphQL endpoints for automated content delivery.
- Tech Stack: Vanilla JS (ES6+), Firebase Firestore, GitHub REST/GraphQL API, Automated CI/CD Pipelines.
- Status:
| [ Frontend Portal → ] | [ Admin Dashboard → ]
Modular Natural Language Processing and Intelligent Agentic Control Systems.
- Core Engineering: Engineered custom intelligence agents capable of parsing pure natural language tasks through modular NLP pipelines. These pipelines direct asynchronous, intelligent script orchestration and maintain seamless integrations with 3rd-party APIs to autonomously manage system workflows.
- Tech Stack: Python, Advanced Automation Scripts, Speech Recognition, Speech-to-Intent NLP Mapping.
- Status:
| [ NOVA Engine → ] | [ JARVIS Protocol → ]
- 💪 Opened PR #341 in mllam/neural-lam
- 💪 Opened PR #116 in ruxailab/web-eye-tracker-front
- 🗣 Commented on #327 in mllam/neural-lam
- 🔒 Closed issue #327 in mllam/neural-lam
- 💪 Opened PR #330 in mllam/neural-lam
Java 2 hrs 53 mins ██████████████▒░░░░░░░░░░ 57.22 %
Text 24 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 08.10 %
HTML 22 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 07.43 %
CSS 22 mins █▓░░░░░░░░░░░░░░░░░░░░░░░ 07.33 %
TypeScript 20 mins █▓░░░░░░░░░░░░░░░░░░░░░░░ 06.78 %|
Certified Developer |
AI Systems Specialization |
Advanced Algorithms |
|
Git/GitHub Mastery |
Interactive Design |

