Khine Nyein Aung (Jasper)
Solutions Architect — Vision AI, Video Analytics & Edge AI
Solutions Architect and hands-on engineering lead designing and building Vision AI applications that connect live video, GPU inference, and enterprise workflows. Brings 15+ years of experience in Singapore’s enterprise physical-security sector, including 10+ years focused on video analytics, spanning solution design, proof-of-concept evaluation, systems integration, and field deployment.
Core Competencies & Technical Scope
Vision AI & Multimodal Inference
Engineering practical inference pipelines connecting live camera feeds to lightweight vision models, local Visual Language Models (VLMs), and containerized microservices in Python and PyTorch under strict latency and VRAM constraints.
Video Streaming & Edge AI
Architecting low-latency RTSP and real-time video ingestion, multi-stream GPU optimization, and containerized inference servers on local NVIDIA RTX hardware.
Solutions Architecture & Pre-Sales Discovery
Leading customer discovery, proof-of-concept (POC) latency-vs-accuracy evaluations, edge hardware sizing, and joint partner communication across commercial and industrial deployments.
Enterprise Physical Security Systems
15+ years of experience delivering and integrating enterprise video surveillance, access control, and supporting network infrastructure in Singapore, including hardware I/O integration, fiber backbones, VLAN segmentation, and site risk assessments.
Stakeholder Communication & Technical Presentations
I communicate effectively with stakeholders at all levels, translating user requirements into clear technical proposals and presenting solution approaches, trade-offs, and delivered results in language suited to the audience.
Professional Experience
Trinet Technologies Pte Ltd
Jun 2011 — Present • SingaporeDepartment Lead & Solutions Architect — Vision AI & Edge AI
- Architected end-to-end vision pipelines integrating multi-camera RTSP streams, real-time stream scheduling, and containerized GPU microservices for automated patrol and perimeter alert monitoring.
- Developed multimodal and Visual Language Model (VLM) applications for contextual scene verification, translating natural-language operator prompts into structured scene event alerts.
- Implemented computer vision workflows in Python and PyTorch, benchmarking real-time object detection and vision-language foundation models for local edge inference.
- Evaluated GPU compute trade-offs on local NVIDIA RTX workstations, balancing multi-stream decoding, memory footprints (VRAM), and frame throughput against detection accuracy.
- Led technical pre-sales discovery, customer proof-of-concept (POC) validations, and hardware sizing (GPU and IP cameras) across commercial, industrial, and logistics facilities in Singapore.
- Clarified user requirements and presented solution approaches and delivered results to stakeholders at different levels, adapting technical detail to the audience.
- Led engineering teams in delivering integrated enterprise security systems spanning video surveillance, video analytics, access control, network segmentation, and site commissioning.
Selected Engineering Architectures
Vision Patrol
Lead ArchitectAutonomous visual-intelligence platform for virtual guard tours, combining low-latency multi-camera streaming, local VLM scene reasoning, and automated incident reporting.
Team Reports
Lead ArchitectEnterprise field-service platform connecting multi-team job dispatch with automated compliance reports, mobile offline sync, and edge API microservices.
RuneCam
CreatorCross-platform mobile inspection utility for site engineers to capture commissioning photos, apply vector overlay annotations, record voice notes, and export standardized PDF reports on-site.
Education & Credentials
Bachelor of Engineering in Information Technology
Yangon Technological University
AWS Certified Solutions Architect – Associate
Amazon Web Services (SAA-C02)
Previously Certified
Cisco CCNP — Routing & Switching
Cisco Networking Curriculum
Advanced enterprise routing, switching, and network segmentation