Resume
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Customer-facing AI solutions architect and technical account leader with 20+ years of enterprise software engineering experience. I guide enterprise organizations from technical evaluation through production adoption and measurable business impact — building credibility with senior technical and business leaders while staying hands-on with APIs, SDKs, Python and JavaScript. I turn ambiguity into a practical technical narrative, an executive decision, or an action plan, and I care deeply about helping organizations deploy advanced AI responsibly.
Targeting: Solutions Architecture · Solutions Engineering · Technical Account Leadership · AI Deployment · Technical Customer Success
Particulars
| Full Name as per passport: Wong Teck Meng |
| Nationality: Singaporean |
| Email: gfuryhawk@gmail.com |
| Code Repositories |
|---|
| https://github.com/furyhawk |
| https://www.kaggle.com/teckmengwong |
Role Alignment
How my experience maps to customer-facing AI solutions architecture, technical account leadership, and AI deployment roles.
| Requirement | Evidence |
|---|---|
| Customer-facing technical roles — solutions architecture, solutions engineering, technical account leadership, AI deployment, technical customer success | 12+ years in customer-facing delivery: 11 end-to-end enterprise programs as Senior Consultant, SAP Edge delivery for the RSAF, and a current principal-engineer role that owns technical proposals and architecture presentations directly with the MRO operations team and Lines of Business. |
| Guided enterprises from technical evaluation to production adoption and measurable business impact | Took a government agency and an American multinational from scoping and PoC to deployment (LangChain content generation; OpenVINO defect detection on Jetson); shipped UParcel's route-optimization stack into SG/MY production with a 20% measurable lift in driver acceptance. |
| Credibility with senior technical and business leaders, communicating equally well with hands-on engineers | Presented architecture options and tradeoffs to operations and business stakeholders; mentored Batches 12 & 13 on Computer Vision; led Agile Scrum adoption across project teams. |
| Strong software and cloud architecture foundations — APIs, distributed systems, data integration, identity, security, privacy | Containerized and orchestrated platforms (Docker Swarm; Kubernetes on Talos + Proxmox), AWS delivery with CDK and CI/CD, API-based integration across enterprise modules, and role-based authorization with segregation-of-duties controls for regulated, privacy-sensitive data. |
| Modern AI systems — frontier LLMs, agentic applications, model evaluation, retrieval, enterprise AI workflows | LLM application delivery with LangChain and prompt engineering; retrieval and embedding pipelines, agentic workflows and RAG patterns; model evaluation plus MLOps with PyTorch, TensorFlow and Hydra. |
| Prototype, explain technical tradeoffs, work confidently with APIs, SDKs and Python/JavaScript | Repeated PoC-to-demo delivery (industrial defect detection, event-planning content generation, TFT analytics app); Python across ML/MLOps and data work, JavaScript/TypeScript with React and Zustand on the frontend. |
| Sound judgment on when to go deep personally, when to involve specialists, and how to define handoffs and ownership | Restored a critical production database outage under time pressure using root cause analysis; define ownership boundaries between platform, data and operations teams as standard practice. |
| Technical account plans, prioritizing complex customer portfolios, connecting adoption to measurable outcomes | Planned and prioritized 11 enterprise program cycles worth >$100M, each with its own roadmap, risk register and adoption plan; delivered measurable Time-on-Task and User Error Rate reductions at BHP. |
| Industry expertise / fluency with digital-native businesses | Aerospace & defence MRO, mining and resources, last-mile logistics and public sector — delivered in both heavily governed enterprises and fast-moving digital-native teams. |
| Turns ambiguity into a practical technical narrative, executive decision, or action plan | Translate open-ended "can AI help us?" asks into scoped architecture options, decision papers and phased delivery plans. |
| Collaborative across disciplines, committed to deploying advanced AI responsibly | AI Champions program driving adoption across Lines of Business; standardization of AI development, testing and deployment best practices, including responsible-AI guardrails. |
Core Competencies
| Domain | Skills |
|---|---|
| Customer-facing | Solutions architecture, technical account planning, discovery and scoping, PoC → production adoption, executive and engineer-level communication, enablement and mentorship |
| AI / ML | LLMs, prompt engineering, RAG, embeddings, agentic workflows, model evaluation, MLOps, computer vision, edge inference (OpenVINO, Jetson) |
| Cloud & Platform | AWS (CDK, CI/CD), Docker, Kubernetes, Proxmox/Talos, distributed systems, API design and integration, observability |
| Engineering | Python, JavaScript/TypeScript, React, data integration, enterprise identity and authorization models, security and privacy in regulated environments |
Experiences
Employment History : 20+ Years in Software Engineering
| Period | Employer | Position | Focus |
|---|---|---|---|
| 2025-Present | ST Engineering | AI Principal Engineer | AI solutions architecture & enterprise adoption |
| 2023-2024 | UParcel | AI Engineer | Applied AI delivery & measurable outcomes |
| 2022-2023 | AI Singapore | Associate AI Engineer | Enterprise AI PoCs & MLOps |
| 2021-2022 | — | Independent Projects | Cloud-native & distributed infrastructure |
| 2020-2021 | NCS | Fiori Developer | Customer-facing edge solution delivery |
| 2019-2020 | BHP | Developer | Global enterprise rollout & process improvement |
| 2008-2019 | NCS | Senior Consultant | Technical account leadership & ERP architecture |
| 2001-2008 | Creative | Associate Engineer | Software QA |
ST Engineering : 2025 - Present
AI Principal Engineer — Solutions Architecture & Enterprise AI Deployment
- Customer-facing technical leadership: Develop technical proposals and architecture presentations for the MRO operations team, owning the conversation from discovery through to decision with both senior business leaders and hands-on engineers.
- Evaluation to production: Lead the design and deployment of scalable AI systems, owning the architecture all the way through to production performance and reliability.
- Measurable business impact: Align platform capabilities to Maintenance, Repair and Overhaul (MRO) workflows and define the adoption metrics that connect them to operational outcomes.
- Adoption & enablement: Champion AI adoption across Lines of Business, building the internal narrative, enablement and ownership model so teams can run what we ship.
- Standardization: Establish and enforce best practices for AI systems development, testing and deployment, including responsible-AI guardrails.
- MLOps: Implement and optimize MLOps practices to streamline the machine learning lifecycle, from development to deployment and monitoring.
- Judgment & handoffs: Decide when to go deep personally versus bringing in specialists, with clear handoffs and ownership across platform, data and operations teams.
- Mentorship: Provide technical guidance and mentorship to junior engineers and team members.
- Innovation: Stay abreast of the latest advancements in AI, translating them into practical, defensible platform capabilities.
UParcel : 2023 - 2024
AI Engineer — Applied AI & Cloud Delivery
- Measurable business impact: Improved delivery efficiency through large-scale data analysis and heuristic algorithm parameter fine-tuning, driving a 20% increase in driver acceptance rates for listed jobs.
- Adoption to production: Launched the optimized last-mile delivery solution in the Singapore/Malaysian market, taking it from model work to a live, customer-visible product.
- Technical account ownership: Worked directly with operations stakeholders to prioritize the delivery portfolio and connect model performance back to business outcomes.
- Cloud architecture: Owned the project pipeline for Continuous Integration/Continuous Deployment (CI/CD) on the AWS tech stack (CDK), balancing reliability, scalability and delivery speed.
AI Singapore : 2022 - 2023 : 1 yr
Associate AI Engineer — Enterprise AI PoCs, MLOps & Enablement
- Customer engagement: Scoped and implemented event planning requirements for a government agency using LangChain and prompt engineering, turning an ambiguous brief into a working prototype and a clear technical narrative.
- Evaluation to adoption: Designed and researched an industrial defect detection proof-of-concept for an American multinational company using OpenVINO, deploying it on the Nvidia Jetson Xavier NX Developer Kit.
- Platform & MLOps: Implemented MLOps using PyTorch and TensorFlow frameworks, developing a highly configurable ML pipeline with Hydra for tasks such as image classification and object detection, adhering to SOLID engineering principles. (PeekingDuck)
- Mentorship & enablement: Mentored Batches 12 and 13 on Computer Vision, making deep technical material usable for engineers at every level.
AI Apprentice
(Batch 11, 2 months intensive + 7 months on-the-job training)
- Competitive Selection: Selected as one of the top 19 candidates out of hundreds of applicants, demonstrating exceptional potential in AI engineering.
- Intensive Training: Completed an immersive 2-month deep-skilling program in AI engineering, followed by 7 months of hands-on on-the-job training solving real-world industry AI problems.
Cloud-Native & Distributed Systems : 2021 - 2022 : 1 yr
Independent Projects
- Cloud architecture: Self-hosted applications and API services on a personal domain (https://furyhawk.lol/) using Docker Swarm across 3 Raspberry Pi devices — designing for resilience on constrained, distributed hardware.
- Migration & modernization: Transitioned hosted applications and API services to Kubernetes using Talos and Proxmox, owning the full stack from infrastructure through to application identity and access.
Team Fight Tactics Strategy Application
- Prototyping & data storytelling: Built a containerized application that surfaces the current patch's gamer meta using feature importances, turning a raw dataset into an explanation non-specialists can act on.
- Frontend engineering: Implemented the frontend using React and Zustand, demonstrating JavaScript/TypeScript delivery alongside Python work.
NCS : 2020 - 2021 : 1 yr
Fiori Developer — Customer-Facing Edge Delivery
- Customer-facing delivery: Implemented SAP Edge applications using Agile methodology, working iteratively with the customer to keep scope aligned to operational reality.
- Mission-critical solution: Developed a Maintenance Dashboard for the Singapore Air Force F-16/Apache Squadron on Edge devices, improving turnaround reliability in a high-stakes, security-conscious environment.
BHP : 2019 - 2020 : 1 yr 2 mos
Developer — Global Enterprise Rollout
- Global adoption: Implemented the Resource Scheduler application globally, enabling mass scheduling of work to personnel while accounting for work restrictions and capacity availability.
- Measurable outcomes: Achieved significant reductions in Time-on-Task and User Error Rate, and improved safety compliance — adoption measured, not assumed.
- Cross-disciplinary collaboration: Partnered with operations, safety and planning stakeholders across regions to land a single global solution.
NCS : 2008 - 2019 : 10 yrs 7 mos
Senior Consultant — Technical Account Leadership & Enterprise Architecture
- Technical account leadership: Led 11 cycles of end-to-end Enterprise Resource Planning (SAP) programs worth >$100 million, owning client relationships, architecture decisions and delivery outcomes across Material Planning, Procurement, Logistics, Finance and Control, Human Resources, and Plant Maintenance.
- Multi-domain architecture: Implemented solutions spanning Frontend (Fiori) and Backend (ABAP) frameworks, including API-based integration between enterprise systems and role-based authorization with segregation-of-duties controls for regulated, privacy-sensitive data.
- Portfolio prioritization: Balanced competing customer portfolios and sequenced work so each program delivered incremental value rather than a big-bang release.
- Agile leadership: Spearheaded Agile Scrum methodology adoption among project team members, fostering collaborative and iterative delivery.
- Sound judgment under pressure: Restored a critical production database outage under time pressure by applying root cause analysis techniques, protecting business continuity and owning the incident end to end.
- Credibility across the org: Consistently improved productivity and added value after each project cycle by applying best practices in Software Engineering, trusted by hands-on engineers and senior business sponsors alike.
Creative : 2001 - 2008 : 7 yrs 1 mo
Associate Engineer — Software Quality Assurance
- Pioneering quality: Contributed to the development of the world's first MP3 devices, ensuring high-quality software and hardware through rigorous Quality Assurance processes — the foundation of a career built on shipping reliable systems.
Education Qualifications
| Period | Discipline/University |
|---|---|
| 2011-2017 | Bachelor of Science IT and Business (ERP) |
| Singapore University of Social Sciences |
Professional Qualifications
- Certificate Verification – AI Professionals Association (AIP)
- Udacity Nanodegree Program - Machine Learning Engineer
- SMU Certificate in Artificial Intelligence Module 1 - Building AI Capability with Basic Coding for Business
- SAP Certified Application Associate – Procurement with SAP ERP 6.0 EHP6
- C_FIORDEV_20 Development Associate – SAP Fiori Application Developer