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ResearchOngoing2026

Applied Research Initiative

Structured technical research for high-confidence architecture decisions.

RESEARCH OVERVIEW

Conducted comparative research on toolchains, architecture patterns, and AI-assisted workflows to accelerate engineering decisions.

Experiments

18+

Decision Memos

24

Adoption Hit Rate

78%

RESEARCH ARTIFACTS

Research benchmark board
01Benchmark matrix for technology comparison
Experimentation workflow map
02Hypothesis and experiment orchestration
Decision insight dashboard
03Outcome dashboard for recommendation synthesis

PROBLEM CONTEXT

Team decisions on architecture and tooling lacked a repeatable evidence-based framework.

RESEARCH APPROACH

Developed a practical research model covering hypothesis, experiment setup, benchmark criteria, and recommendation outputs.

NOVELTY & CONTRIBUTION

  • Shortened decision cycles through standardized experiment templates
  • Reduced tool adoption risk with benchmark-driven recommendations
  • Improved documentation quality for future implementation phases

AUTHOR CONTRIBUTION

  • Research framework design
  • Technical experiment execution
  • Data synthesis and recommendation writing
  • Stakeholder presentation and alignment

STUDY COMPONENTS

COMPONENT 01

Comparative benchmark matrix

COMPONENT 02

Hypothesis-driven prototype tracks

COMPONENT 03

Decision memo repository

COMPONENT 04

Implementation handoff checklist

METHODS & TOOLS

TypeScriptPythonBenchmarkingAI ToolingDocumentation
SUPPLEMENTARY REPOSITORY

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