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Software engineer in Australia (Sydney) with an accelerated Master’s in Professional Engineering and a strong background in communications and computer engineering from Waseda University. Focused on building LLM/semantic tooling, scalable backend services, and engineering repeatable evaluation workflows. Previously built and integrated OpenAI-compatible interfaces for LLM/STT models, optimized benchmark response quality/latency across multi-stage pipelines, and implemented event-tracking/analytics-ready systems. Enjoys combining systems engineering with competitive programming and research-driven analysis.…Software engineer in Australia (Sydney) with an accelerated Master’s in Professional Engineering and a strong background in communications and computer engineering from Waseda University. Focused on building LLM/semantic tooling, scalable backend services, and engineering repeatable evaluation workflows. Previously built and integrated OpenAI-compatible interfaces for LLM/STT models, optimized benchmark response quality/latency across multi-stage pipelines, and implemented event-tracking/analytics-ready systems. Enjoys combining systems engineering with competitive programming and research-driven analysis.

Taisei Iida

Full Stack Developer, Software Engineer, AI Engineer, +6

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Software engineer in Australia (Sydney) with an accelerated Master’s in Professional Engineering and a strong background in communications and computer engineering from Waseda University. Focused on building LLM/semantic tooling, scalable backend services, and engineering repeatable evaluation workflows. Previously built and integrated OpenAI-compatible interfaces for LLM/STT models, optimized benchmark response quality/latency across multi-stage pipelines, and implemented event-tracking/analytics-ready systems. Enjoys combining systems engineering with competitive programming and research-driven analysis.…Software engineer in Australia (Sydney) with an accelerated Master’s in Professional Engineering and a strong background in communications and computer engineering from Waseda University. Focused on building LLM/semantic tooling, scalable backend services, and engineering repeatable evaluation workflows. Previously built and integrated OpenAI-compatible interfaces for LLM/STT models, optimized benchmark response quality/latency across multi-stage pipelines, and implemented event-tracking/analytics-ready systems. Enjoys combining systems engineering with competitive programming and research-driven analysis.

Available to hire

Software engineer in Australia (Sydney) with an accelerated Master’s in Professional Engineering and a strong background in communications and computer engineering from Waseda University. Focused on building LLM/semantic tooling, scalable backend services, and engineering repeatable evaluation workflows.

Previously built and integrated OpenAI-compatible interfaces for LLM/STT models, optimized benchmark response quality/latency across multi-stage pipelines, and implemented event-tracking/analytics-ready systems. Enjoys combining systems engineering with competitive programming and research-driven analysis.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Aragonese

Advanced

Work Experience

Software Engineer Intern at Fixstars Corporation

July 1, 2026 - Present

Published a technical article identifying a gap between KAME's published architecture and public code; proposed and implemented LLM/STT interfaces and adaptors for OpenAI-compatible LLMs and self-hosted STT models. Built repeatable workflows to benchmark response quality and latency across separate STT, KAME, and LLM processing pipelines. Traced call-center tool-to-tool prototype flows stage-by-stage to localize content loss in Helium's downstream audio-to-token generation.

Software Development Intern (Part-time) at CLOViZ Inc.

March 1, 2025 - June 1, 2026

Converted an ambiguous promotion request into a TypeScript/Azure notification platform for ~50,000 users, designing and implementing the solution through provider comparison and production rollout. Redesigned learner-activity logging to preserve event-level data for re-analysis, while serving aggregated views; centralized shared analysis logic by moving key semantic interpretation into the writing path.