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About Me
Final-year Computer Science student with hands-on experience developing production-ready backend systems and integrating AI capabilities into scalable services. I specialize in building robust API architectures with advanced AI orchestration frameworks like Semantic Kernel and LangGraph, creating intelligent systems that bridge AI agents with practical, deployable applications.
I am currently an
AI and Full-Stack Developer Intern
at Synapxe since January 2025, developing AI-driven healthcare solutions that enhances accessibility to health-related resources and information. Beyond coding, I enjoy playing floorball and keeping myself active through sports.Projects

Autonomous Image-Recognition Bot
Multidisciplinary project achieving 9th place among 50+ teams. Features python multi-process architecture with real-time object detection (YOLOv5) and 100% accuracy for autonomous navigation.
PythonYOLOv5LinuxFlask

Movie Review Sentiment Analysis
Deep learning project for classifying movie reviews using RNN, CNN, BiLSTM, and BiGRU models. Implemented ensemble learning with pre-trained Word2Vec embeddings and advanced OOV handling, achieving 78% accuracy on Rotten Tomatoes dataset.
PyTorchWord2VecPythonLSTMBERT

TransportGPT
Real-time traffic navigation system for NUS-NCS Innovation Challenge. Integrates live traffic data from LTA DataMall, YOLO object detection for image analysis, and LangChain framework for contextual awareness to provide intelligent navigation assistance.
LangChainYOLOOpenCVPythonAPIs

