Petaling Jaya, Selangor, Malaysia
Final-year Electrical & Computer Systems Engineering student at Monash University Malaysia (CGPA 3.89), focusing on the intersection of embedded systems, edge AI, and hardware-software integration. I build systems where real-time perception meets user-facing physical interaction. Recently, I architected HoloPi, a multimodal pipeline (Speech, RAG, LLM, Avatar) streaming voice and gesture from a Raspberry Pi to an RTX 4080 backend, rendering an AI avatar through a Pepper's Ghost holographic display. I also co-led the Champion-winning Autonomous Vowel Identification Robot (Capstone Project) integrating vision, sensor fusion, and motion control, and contributed as a core engineer on the ITEX 2026 Gold-winning Signsbeat Pte. Ltd. dispenser hub, a closed-loop health system personalizing dosage from live wearable biometrics. Available from September 2026 for embedded ML, edge AI, and systems engineering roles. I am open to relocation and actively exploring opportunities in both Singapore and Malaysia.
Core contributor on a joint R&D project between Monash University Malaysia and Signsbeat Pte. Ltd. (Singapore) titled "The Supplement/Medicine Dispensing Machine Towards the Development of a Point Care Ecosystem," which won the ITEX 2026 Gold Medal. Developed a closed-loop IoT system personalizing patient dosages based on live wearable biometrics. I owned the technical execution of this engineering project from end to end, where I focused on embedded systems deployment, cloud system architecture, and full-stack integration: 1.Developed the IoT Pipeline: Built a robust Raspberry Pi ingestion pipeline to stream multi-metric biometric data (HR, SpO2, and motion) over REST APIs to Firebase. 2. Developed the Database Architecture: Designed and structured Firestore schemas to model patient profiles, track biometric history, and manage automated dosage rules. 3. Developed the Frontend Dashboard: Built a responsive React dashboard for real-time biometric visualization and clinical caregiver workflows.
1. Developed & optimized the application, integrating EV charger status analysis and a utilization rate calculator to enhance performance monitoring. 2. Designed and implemented a self-hosted local server to manage parking bollard operations, eliminating reliance on external cloud services. 3. Compared 4G direct SIM and Wi-Fi connectivity, identifying disconnection issues and demonstrating why SIM cards provide more stable network performance for chargers 4. Conducted statistical analysis on charger online status, optimizing data visualization with histograms & logarithmic scales. 5. Debugged & enhanced application UI for improved user experience, enabling multi-station utilization rate comparison. 6. Provided technical documentation & handovers to ensure smooth project transitions within the team.
1. My primary focus revolves around the intricate development of OCPP (OPEN CHARGE POINT PROTOCOL) v1.6 in Python, a pivotal endeavor aimed at effectively manipulating the charging profile of a charger. Within this dynamic, the charger transforms into a responsive load, dutifully adhering to the charging profile meticulously set by OCPP to ensure an optimal power output. Engaging in live demonstrations, I've seamlessly integrated these developments with the BESS (Battery Energy Storage System), harmoniously drawing power from this cutting-edge system. 2. Additionally, my efforts extend to the collaborative creation of an energy monitoring system (EMS) in Python, adding another layer of sophistication to the realm of energy management. Along this journey, I triumphed over critical challenges, particularly in resolving issues related to websocket connections. Furthermore, I adeptly tackled the transcription of data into Python using the Modbus pool, enhancing the seamless flow and interpretation of critical information within the EMS framework. This multifaceted involvement underscores my commitment to the advancement of energy-related technologies, where every hurdle overcome signifies a step forward in shaping a more efficient and sustainable future.