Quantum Higgs Boson Classifier
Benchmarking hybrid quantum-classical algorithms on ATLAS datasets.
I build secure, scalable systems for the quantum era — from research algorithms to production applications.
I'm a frontend engineer with a specialty in quantum computing research, focused on building pixel-perfect, intuitive user interfaces. I enjoy working at the intersection of design and engineering, where great user experience meets robust, clean, and scalable code.
Currently, I'm a Computer Science Researcher at Universiti Utara Malaysia, where I work on benchmarking hybrid quantum-classical algorithms. In this role, I lead research efforts across VQC optimization, particle physics classification, and ML patterns, partnering closely with professors and engineers to ensure research translates to practical applications.
Previously, I've worked across a wide range of environments, from government institutions to startups and tech companies, including Ibunda.id and StudentxCEOs. Alongside my professional work, I also salvaged a national voting system 24 hours before launch. These experiences have shaped how I think about building products that are both well-crafted and widely usable.
Outside of work, you can usually find me diving into research papers on quantum machine learning or exploring the intersection of physics and high-frequency trading.
Assisted in audit preparation for ISO 27001 and SOC 2 by gathering and tagging technical evidence from IT teams. Monitored GRC automation platforms (Vanta, Drata) to identify and remediate non-compliant devices, achieving 100% policy adherence. Administered security awareness training with a 95%+ completion rate and maintained the central Risk Register.
Salvaged a critical national voting project by stepping in as Lead Developer just 24 hours prior to launch. Pivoted from a failed complex web architecture to a serverless Google Apps Script solution to guarantee on-time delivery. Engineered a token-based validation mechanism to enforce strict unique-voter constraints, processing votes with zero fraud incidents.
Architected a scalable SaaS platform for agricultural data management using Django (Python), focusing on backend logic and database schema optimization. Designed RESTful APIs to handle data ingestion from IoT sensors, ensuring data integrity and efficient query performance. Collaborated with research professors to translate agricultural domain requirements into technical system specifications.
Developed detailed system documentation and role-specific user manuals for three core products using GitLab and Notion, reducing onboarding time. Conducted technical presentations on user sentiment analysis utilizing SVM algorithms, translating complex AI concepts into actionable insights. Documented API contracts and service boundaries within a microservices architecture to ensure clarity in inter-service communication. Monitored code quality via SonarQube and analyzed application logs in Grafana to proactively identify bug patterns.
Developed UI components for six web pages including login and registration using Next.js and TypeScript. Resolved server-side rendering issues in Next.js that caused page load delays, optimizing component rendering for better performance. Collaborated with UI/UX designers and backend teams to ensure seamless integration and consistent user experience.
Founded a personal web agency, managing client projects from development to deployment. Implemented CI/CD pipelines using Cloudflare Tunnel and GitHub Actions to automate deployment workflows. Ensured site reliability and continuous delivery through rigorous automation practices.
Managed end-to-end virtual infrastructure for national-level PBSB scholarship selection, facilitating interviews for hundreds of candidates. Orchestrated complex Zoom logistics including breakout rooms and secure access controls for government officials.
Benchmarking hybrid quantum-classical algorithms on ATLAS datasets.
Salvaged national election system 24h before launch. Zero fraud.
Statistical evaluation of technical indicators testing Market Efficiency (AUC ≈ 0.5).
Benchmarking hybrid quantum-classical algorithms on ATLAS datasets.
Salvaged national election system 24h before launch. Zero fraud.
Statistical evaluation of technical indicators testing Market Efficiency (AUC ≈ 0.5).