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Khine Nyein Aung (Jasper)
Singapore • Solutions Architect

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.

I bridge technical delivery and stakeholder understanding—clarifying user requirements, presenting solution options, and explaining delivered results clearly to technical and non-technical audiences.

Selected Engineering Projects

Production Software & Field Architectures

Systems engineered for real-world RTSP video ingestion, edge GPU benchmarking, and field automation.

Lead ArchitectComputer Vision & Video Analytics
production
Vision Patrol Logo

Vision Patrol

Autonomous visual-intelligence platform for virtual guard tours, combining low-latency multi-camera streaming, local VLM scene reasoning, and automated incident reporting.

Edge Vision AIVisual Language ModelsReal-Time Video PipelinesOn-Premises GPU
Architecture Case Study →
Lead ArchitectEnterprise SaaS Platform
production
Team Reports Logo

Team Reports

Enterprise field-service platform connecting multi-team job dispatch with automated compliance reports, mobile offline sync, and edge API microservices.

Enterprise SaaSTypeScript / ReactOffline-First SyncCloud-Native APIs
Architecture Case Study →
CreatorField Inspection Utility
internal-use
RuneCam Logo

RuneCam

Cross-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.

Cross-Platform MobileVector Graphics CanvasOffline PDF EngineSite Commissioning
Architecture Case Study →
Technical Proficiencies

Capabilities & Technical Scope

Structured across vision AI, edge video streaming, enterprise architecture, and full-stack systems.

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.

Visual Language ModelsPython / PyTorchEdge InferenceMultimodal AI

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.

Real-Time Video PipelinesLow-Latency StreamingEdge ComputeGPU Workstations

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.

Pre-Sales ArchitecturePOC BenchmarkingHardware SizingPartner Validation

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.

IP Video SurveillanceAccess Control IntegrationNetwork SegmentationSystems Commissioning

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.

Requirements DiscoveryTechnical PresentationsStakeholder AlignmentResults Communication
Professional Track Record

Experience & Technical Leadership

15+ years in Singapore IT/OT physical security infrastructure, guiding enterprise clients from rule-based VA to GPU-accelerated vision pipelines.

Department Lead & Solutions Architect — Vision AI & Edge AI

Jun 2011 — Present

Trinet Technologies Pte Ltd • Singapore

  • 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.
Credentials & Academic Foundation

Education & Credentials

Formal qualifications and continuous specialized certifications.

Academic Degree

Bachelor of Engineering in Information Technology

Yangon Technological University

Historical Credential

AWS Certified Solutions Architect – Associate

Amazon Web Services (SAA-C02)

Previously Certified

Specialized Training

Cisco CCNP — Routing & Switching

Cisco Networking Curriculum

Advanced enterprise routing, switching, and network segmentation

CONNECT

Let’s Connect

For career opportunities, technical discussions, or collaboration in Vision AI and solutions architecture, reach me by email.

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