Engineering products is a combination of architecture, implementation, operations and evidence. My work spans full-stack business systems, Python/AI pipelines and independent quantitative research.
Inspect projects ↗Roles and responsibilities below are described in my professional résumé. The linked engineering projects offer separate implementation evidence; they do not independently verify employment, client attribution or commercial outcomes.
Full-Stack Developer & AI Systems Engineer · Résumé-reported role
Built and maintained web applications for property, commerce, education and services. Worked with data-backed workflows, integrations, AI-assisted customer intake and Linux/Docker deployments.
AI Data Trainer & Prompt Evaluator · Résumé-reported role
Evaluated generated text for instruction adherence, Indonesian language quality, formatting and hallucination issues. Experience also includes prompt robustness, structured-output constraints and safety-oriented review.
This is an experience description, not an endorsement or independent employment verification by Outlier.
Independent Engineering Projects
Developing deterministic backtests, market-data analysis, experimental evaluation pipelines, and Python AI workflows. Work products are represented as open-source demonstrations or clearly labeled private case studies.
PHP & Laravel, JavaScript & TypeScript, React / Next.js, HTML/CSS, relational databases, auth, dashboards and REST integrations.
Laravel example ↗Next.js / Prisma example ↗FastAPI, prompt engineering, LLM evaluation, RAG/intake workflow design, image processing, transcription and FFmpeg media automation.
FastAPI / vision example ↗Private AI case summary ↗Pandas, NumPy, data QA, Parquet, reproducible reports, SQL, Docker, Git, Ubuntu VPS diagnostics and research-oriented test discipline.
Quant aggregate evidence ↗Research systems ↗Public repositories demonstrate code and architecture; live sites demonstrate visible products; private projects are summarized without shipping confidential artifacts. I do not claim independently verified client outcomes, enterprise certifications or live-investment returns that the sources cannot support.
Web apps, AI workflows, custom Python and quantitative research tools.