Education

Degrees & Certifications

Academic background and degrees.

September 1, - July 1,

MSc in Technical Sciences, Engineering Psychology, Ergonomics

As a MSc in Technical Sciences, my educational background involves the application of psychological science principles in the context of designing everyday products, systems, and devices. Specifically, I have focused on the development of a "smart house" that addresses and resolves intricate technical challenges associated with integrating complex household electronic systems into the domain of software engineering. The primary objectives of this endeavor have been to ensure the safety and operational efficiency of these integrated electronic systems, ultimately leading to a high level of control and performance within the smart house environment. This educational journey has equipped me with the knowledge and expertise necessary to tackle the technical intricacies of merging psychology and engineering to create smart, efficient, and safe living spaces.

September 1, - July 1,

Bachelor's degree, Radioengineering Systems

I specialised in a branch of electrical engineering focused on electromagnetic radiation, including areas such as radio waves, broadcasting, navigation, and television. The goal was to develop proficiency in managing radioelectronic software using existing tools. Consequently, I graduated with a comprehensive understanding of radio engineering schematics and the capability to control them through software within a processor.

Key Skills

Serverless & Infrastructure Automation

Designed AWS Lambda–based architectures for fintech/banking. CDK-driven IaC and Unix/C automation pipelines replacing manual procedures with code-defined environments and CI/CD flows.

AWS Lambda architectures for banking workloads

CDK-driven IaC replacing manual console work

Unix/C automation for CI/CD acceleration

Predictable cloud costs through serverless design

AI Performance & Optimisation

Custom low-level tensor kernels (SIMD, AVX512, FP16/BF16) achieving 20-30x speed-up for deep-learning operations. LLM adaptation, evaluation, and serverless AI deployment.

Tensor kernel optimisation (SIMD/AVX/NEON)

FP32/FP16/BF16 precision trade-offs

Cold-start mitigation for serverless AI

Production-grade LLM benchmarking

Research & Scientific Publication

Published research in AGI architectures, quantum decoherence dynamics, mathematical adaptation of LLMs, and AI governance. Bridging theoretical frameworks with production engineering.

Distributed AI/multi-agent architectures

Quantum information & decoherence models

Open Data Ownership License concept

Safety, interpretability & failure mode analysis

Delivery & Cross-Functional Leadership

Led teams up to ~14 people with end-to-end delivery ownership: discovery → scope → implementation → rollout → support on large financial-services projects.

End-to-end delivery on financial services

Cross-functional team coordination

Architecture risk analysis & mitigation

Business outcome–driven decision-making

Raman Marozau