AWS Lambda–based architectures for banking workloads. CDK-driven IaC and Unix/C automation pipelines so environments and CI/CD flows are brought up by code, not human procedures.
Cross-functional teams up to ~14 people. End-to-end delivery ownership: discovery → scope → implementation → rollout → support on large financial-services projects.
Low-level tensor kernels (SIMD/FP16/AVX512), serverless AI deployment, cold-start mitigation, LLM adaptation. Governance, data ownership, safety-by-design, auditability.
A technology leader with over 13 years of experience in engineering, cloud architecture, and executive leadership. CTO & Founder at Target Insight Function, driving innovation in AI infrastructure, quantum algorithms, and real-time system performance. Passionate about setting new fundamentals in modern computing and building scalable solutions that power the next generation of intelligence, science, and business.
Built backend systems, event-driven microservices, and production-grade applications across multiple domains.
Designed serverless architectures for fintech on AWS with Lambda, API Gateway, and DynamoDB.
Led cross-functional teams up to ~14 people, owning end-to-end delivery on large financial-services projects.
Founded Target Insight Function — pioneering AI infrastructure, quantum algorithms, and paradigm-shifting research.
Custom tensor kernels (SIMD, AVX512) achieving 20-30x speed-up. AWS Lambda architectures for fintech with predictable cloud costs. Architecture risk engine analysing microservice dependencies without manual mapping.
Published work on AGI architectures, quantum decoherence dynamics, LLM mathematical adaptation, and AI governance. Open Data Ownership License concept for accountability in AI-driven systems.
