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ST Engineering, GTO, AI.R STC, GenAI
What we're building
Explore our latest GenAI projects
The collection
Explore what's possible.
From first experiment to live pilot, each project is easy to explore, understand, and share.
3 projects
Updated as we buildLearn more ›
eServ AI Call Center
AI-powered call-center analytics platform that transforms call audio into actionable insight.
Powered by Gemma 4Call intelligence, on your infrastructure.
Geospatial Intelligence - The Nexus
Real-time situational-awareness platform that fuses open-source and operational data into one live, time-aware map.
Powered by Gemma 4 and xAIConnected intelligence for a live operating picture.
How we build
Small experiments. Serious outcomes.
Every prototype starts with useful work, not technology for its own sake.
- 01
Find the friction.
Start with a real human problem worth solving.
- 02
Make it tangible.
Turn an idea into something people can try quickly.
- 03
Learn in the open.
Demo, measure, listen, and build the next iteration.
Our operating model
One team. Three connected strengths.
We bring together secure compute, efficient models, and rapid delivery as one practical GenAI capability.
Read the operating model
GenAI Team — Orchestrating Intelligence. Delivering Impact.
- Edge & Compute
Secure. Sovereign. Scalable.
- Air-Gapped / Sovereign AI
- On-Prem Infrastructure
- Edge Deployment
- Real-Time Inference
- Secure by Design
- NVIDIA DGX · Apple Mac Studio
Deploy anywhere.
- Efficient LLMs
Smaller. Faster. Smarter.
Model compression lifecycle: 70B → 7B → 3B → Edge.
- Quantization
- Pruning
- Distillation
- Tensor Compression
- Efficient Inference
- Deliver Rapidly
- Plan — AI Agent
- Build — AI Coding Copilot
- Review — AI Code Reviewer (Quality, Security, Best Practices)
- Test — AI Test Agent
- Deploy — Automated Delivery (Build, Test, Security Scan, Deploy)
- Observe — Feedback Loop
Orchestration & Automation Pipeline: Agents → Tools → APIs → Data → Models → Deployments.
GenAI team
We Are a Small And Agile Team
Michal Polanowski, PhD, MBA
More than three years with ST Engineering. Focused on the efficient use of AI across software and hardware, including AI agents and AI personas. Also consults business units on GenAI adoption and builds proofs of concept for them.
Shee Jia Wei, MEng
More than one year with ST Engineering. Focused in hardware-efficient AI infrastructure, self-hosted LLM deployment, distributed computing, and value added AI solutions. Experienced in leveraging NVIDIA DGX Spark, Apple Silicon, and heterogeneous computing environments to deliver scalable AI capabilities without relying on conventional high-cost data-center GPU infrastructure. Strong background in production computer vision, MLOps, and AI system performance engineering.
Pranav
AI engineer for the past 8 months at ST Engineering, having been a Data Scientist previously. I love creating GenAI harnesses with the aim of simplifying workflows
Yang Ying, MTech
Senior AI Engineer with 8+ years of experience in research and industry, specializing in computer vision, multimodal learning, and generative AI, with a focus on developing innovative and practical AI solutions.
Shubhanker
An overqualified AI intern with strong hands-on technical skills and a builder’s mindset—turning complex ideas into practical GenAI solutions. Passionate about solving real-world problems, simplifying workflows, and making AI useful in everyday work.