Lead GenAI Engineer
Orchestrating the Frontier of Enterprise Intelligence & Infrastructure Economics
Bridging Deep R&D, Corporate Strategy, and Production-Grade Engineering
I architect the bridge between scientific rigor and sustainable business value. I translate the kinetic energy of frontier AI research into the potential energy of enterprise transformation. From computational physics to boardroom decision-making and hyperscale cloud AI engineering, I navigate the full stack of modern intelligence.
At Google, I advise APAC’s enterprise C-suites on the sovereign adoption of Generative AI, focusing on:
- Agentic Data Engines: Moving beyond simple RAG into autonomous, multi-modal reasoning loops.
- Infrastructure Economics: Optimizing elastic HPC and training/inference costs for the next billion tokens.
- Cognitive Trust: Engineering the guardrails, red-teaming frameworks, and safety layers required for enterprise-grade compliance.
- Next-Gen CX: Deploying hyper-personalized, real-time multimodal agents that redefine human-computer interaction.
Bridging the gap between frontier research and production-grade systems.
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Architected distributed NeMo-RL clusters on GKE to fine-tune Gemma 3 using Group Relative Policy Optimization (GRPO). Optimized FSDP sharding on NVIDIA B200 clusters. Value: Achieved +6.2% absolute gain in MATH-500 accuracy via custom reward engineering. |
Architected a multi-modal Financial Audit engine using LMMs and advanced OCR. Automated the extraction of complex, unstructured data from heterogeneous financial instruments. Value: Eliminated 90% of manual data entry for Tier-1 financial institutions. |
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Developed high-fidelity Computer Vision pipelines for autonomous robotic systems. Focused on real-time object detection and kinematic path planning in dynamic environments. Value: Reduced manual oversight by 40% in industrial automation. |
Leveraging my background in Thermodynamics, I built Time Series Forecasting models for high-value industrial assets to predict failure modes before they occur. Value: Saved millions in unplanned downtime for energy providers. |
| Frontier GenAI & Research | Scalable Engineering & HPC | Strategy & Domain |
|---|---|---|
Gemini / Gemma 3 |
NVIDIA B200 |
C-Suite Advisory & Consulting |
GRPO & RLHF (NeMo-RL) |
Ray on GKE (KubeRay) |
Unit Economics of AI |
Vertex AI & Model Garden |
PyTorch FSDP & DCP |
AI ROI & TCO Modeling |
Agentic RAG / Agents |
vLLM & FlashInfer |
Sovereign AI Frameworks |
Dynamic Grounding |
Distributed Training (XLA) |
Gov & Risk Management |
"Science is only as useful as its ability to be democratized."
- Lead GenAI Solutions: Architecting AI roadmaps for APAC Decacorns, transforming legacy data into Agentic Intelligence.
- Open Source Authority: 80K+ downloads of tools designed to bridge the gap between complex data assets and business value.
- 3M+ Professionals reached via technical publications and strategic guidance on AI infrastructure and economics.
- Global Footprint: Mechanical Engineering (🇨🇳) → Robotics Researcher at Tohoku (🇯🇵) → Statistical Physics PhD at NTU (🇸🇬) → Wolfram Summer School (🇺🇸) → CSIRO/McKinsey/AWS (🇦🇺) → Google.
🚀 AWS Certified Solutions Architect – Professional
🏗️ Designing SaaS-based architectures using Infrastructure as Code (IoC), Terraform, Kubernetes, and CIAM with Keycloak
- 🚀 Architecting secure, multi-tenant SaaS platforms on AWS
- 🔁 Automating infrastructure using Terraform and AWS CDK
- ☸️ Deploying microservices with Kubernetes on EKS
- 🔐 Implementing CIAM (Customer Identity and Access Management) using Keycloak
- 📦 Building secure APIs and scalable backend systems with DevSecOps best practices
- 🔧 Tech: LLM integrations, modelling, search engine - vespa.ai, Golang, Scala, Spark, AWS, Python, PySpark
Profile views:
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💼 Currently working on:
- Designing multi-tier, event-driven architectures using AWS services
- Implementing serverless solutions with Lambda, API Gateway, and DynamoDB
- Infrastructure-as-Code with Terraform and AWS CDK
- CI/CD pipelines using CodePipeline, CodeBuild, and GitHub Actions
- Monitoring & logging with CloudWatch, X-Ray, and AWS Config
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🌐 Building secure, scalable applications with best practices in:
- VPC design, IAM, KMS, GuardDuty, WAF
- Cost optimization using Trusted Advisor and Cost Explorer
| Domain | Tools & Technologies |
|---|---|
| Cloud | AWS (EC2, S3, RDS, Lambda, EKS, IAM, Route 53, CloudFront) |
| Identity & Access | Keycloak (CIAM, RBAC, SSO, MFA), AWS Cognito |
| Infrastructure | Terraform, AWS CDK |
| Containers | Docker, Kubernetes, Helm |
| DevOps & CI/CD | GitHub Actions, CodePipeline, Jenkins |
| Monitoring | CloudWatch, Prometheus, Grafana |
| Languages | Python, YAML, Bash, TypeScript |
- ✅ AWS Solutions Architect – Professional
- ✅ 30+ AWS Certifications & Trainings in DevOps, Security, ML, Networking
- ✅ Specialized in cloud security, performance tuning, and cost governance
- 🧩 Configured SSO and OIDC integrations across micro-frontends
- 🔐 Enabled Role-Based Access Control (RBAC) and MFA
- 🏢 Managed multi-tenant identity architecture for SaaS applications
- 📲 Integrated Keycloak with APIs, API Gateway, and frontends using OAuth2 flows
🌟 “Build with security. Scale with architecture. Optimize with experience.”
Well-Architected Proficient
Becoming a Cloud Practitioner - Part 4 - Advanced Cloud Services
Becoming a Cloud Practitioner - Part 3 - Identities, Security, and Monitoring the AWS Cloud
Becoming a Cloud Practitioner - Part 2 - Compute, Networking, and Account Strategies
AWS Certified Cloud Practitioner (CLF-C02)
Becoming a Cloud Practitioner - Part 1 - AWS Cloud Basics
84_3_7269709_1743489945_AWS Course Completion Certificate.pdf
