Experience
Work
From teaching AI at Apple to building production pipelines — every role shaped how I think about intelligent systems.
AI Engineer
Thout.ai · Singapore
- Created the foundational AI pipeline along with the backend architecture for the platform
- Designed and deployed to production a multi-modal RAG pipeline for large document understanding and cross-context handling
- Designed a voice-biometrics pipeline for identifying speakers in audio recordings, using a fine-tuned ECAPA-TDNN model with custom active learning mechanism
- Built an AI-powered Jira and Notion integration API using FastAPI and a 6-agent LLM pipeline that translates natural-language queries into executable Jira operations across 28 tools — covering issues, sprints, epics, worklogs, transitions, and more, with self-healing execution and automatic error recovery
AI Engineer Intern
Thout.ai · Singapore
- Led the project of data preparation and pipeline design for speaker voice identification and voice biometrics
- Implemented chat functionality over multiple meeting transcripts and documents
- Worked in data preparation and system design for conversational understanding and insight generation with ontology
- Worked in the setup of backend servers on GCP, MongoDB and vector database infrastructure
Teaching Assistant
National University of Singapore · Singapore
- Assisted 150+ computer science students in advanced software testing methodologies
- Mentored and evaluated students' projects on different testing approaches
- Took tutorials and lectures with hands-on experimentation on unit testing and integrated testing with different tools in Java
AI Educator & Teaching Assistant
Apple · Cupertino, CA (Remote)
- Part of "AIML University", a group of 5 educators dedicated to AI teaching and development of Apple employees across the globe
- Collaborated directly with Apple's ML research teams to adapt and design Apple-specific courses on AI, including computer vision and language models, bridging the research-to-production gap
- Mentored 200+ engineers, designers, and other employees across teams through hands-on technical workshops and lectures
Computer Vision Engineer Intern
OttonomyIO · Noida, India
- Worked on object segmentation pipeline processing 30+ FPS video streams, optimizing YOLO and Mask R-CNN models with ONNX and TensorRT runtime on NVIDIA Jetson hardware
- Developed real-time autonomous navigation systems for delivery robots, implementing SLAM algorithms and sensor fusion (LiDAR, cameras)
- Fine-tuned and deployed object segmentation pipelines with spatial data using C++ and Python for performance-critical inference
Research Intern
Nanyang Technological University · Singapore
- Assisted Prof. Srikanthan on research "ML techniques for hardware-assisted anomaly detection"
- Developed advanced time-series analysis pipeline processing system calls of the processor, implementing bidirectional LSTM models along with decision tree and Random Forest models with custom feature engineering
- Built distributed data collection framework for ARM devices, creating an academic dataset of IoT security patterns with automated labeling and validation systems