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.

View Selected Work View Résumé & Experience

Figure 1.0 — Abstract Infrastructure: Edge Compute, Vision Processing & Systems Integration

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

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

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

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.

Head of Technical & Lead Solutions Architect — Vision AI & Video Analytics

Sep 2017 — Present

Trinet Technologies Pte Ltd • Singapore

Serve as the first line of technical expertise for enterprise customers, regional partners, and internal engineering—leading technical discovery, live demos, architecture reviews, and GPU/camera sizing across ~30 on-premises GPU video analytics sites and a wider edge-analytics camera fleet.
Architected and shipped Vision Patrol, an end-to-end visual intelligence platform combining sub-second RTSP-to-WebRTC streaming (<400 ms), multi-stream scheduling, containerized Python GPU inference, semantic vector search (BGE embeddings), and NVIDIA NIM VLM serving.
Benchmarked and deployed real-time detection and multimodal models (YOLOE-26, D-FINE, DAMO-YOLO, DEIMv2, Qwen3.5) on local NVIDIA RTX Pro 2000 Blackwell and RTX 2070 GPUs, balancing accuracy, throughput, and VRAM budgets to cut false-positive operator alerts by 85%+.
Built a natural-language video search and summarization engine following the NVIDIA VSS pattern with 2x2 / 3x3 multi-camera grid compositing—cutting VLM token use and GPU compute overhead by up to 75%—alongside automated VLM agent evaluation pipelines.
Designed and commissioned closed-loop Physical AI workflows linking MQTT facial-recognition terminals and alarm I/O relays with real-time GPU visual verification.
Drive technical alignment and co-selling with global video AI and security partners (IronYun, Univers AI, Convergint) on major enterprise tenders, while recruiting, mentoring, and leading a 17-member engineering department across 10G network infrastructure and site commissioning.

Product Manager — Video Surveillance & Security Technology

Sep 2013 — Sep 2017

Trinet Technologies Pte Ltd • Singapore

Analyzed market trends and customer requirements to source, introduce, and scale a major surveillance brand in Singapore into multi-million-dollar enterprise deployments.
Partnered with sales and engineering teams to translate complex client requirements into structured technical proposals, live demonstrations, and tailored security architectures.

Application Engineer — Video Surveillance, Access Control & Intrusion Detection

Sep 2011 — Sep 2013

Trinet Technologies Pte Ltd • Singapore

Designed, configured, and deployed custom IP/analog video surveillance, access control, and intrusion detection systems tailored to commercial and industrial site requirements.
Supported pre-sales cycles with technical presentations, proof-of-concept demonstrations, and tender proposal engineering.

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.

Email Jasper GitHub ↗

Direct Email:

[email protected]