rayyanarsyad
Software Engineer Intern
I am a Data Analytics undergraduate at HKUST with hands‑on experience in software engineering, machine learning, and large language models.
Currently, I am a Software Engineer Intern at Hitachi Rail, where I design end‑to‑end LoRA fine‑tuning pipelines, build reproducible data workflows, and evaluate LLM performance across configurations for domain‑specific tasks.
Previously, I worked as a Quality Engineer Intern, automating QA workflows with Python and supporting data‑driven solutions for public‑sector clients in smart city and digital governance projects.
Core interests & strengths:
- Machine Learning & Neural Networks
- LLM Fine‑Tuning, Evaluation & Data Pipelines
- Python, SQL, and Statistical Modeling
- Translating data into actionable insights
I am actively seeking internship and early‑career opportunities in Data Analytics, Machine Learning, or Software Engineering, where I can solve real‑world problems at scale.
📫 Feel free to reach out for collaboration, research, or internship opportunities.
Currently, I am a Software Engineer Intern at Hitachi Rail, where I design end‑to‑end LoRA fine‑tuning pipelines, build reproducible data workflows, and evaluate LLM performance across configurations for domain‑specific tasks.
Previously, I worked as a Quality Engineer Intern, automating QA workflows with Python and supporting data‑driven solutions for public‑sector clients in smart city and digital governance projects.
Core interests & strengths:
- Machine Learning & Neural Networks
- LLM Fine‑Tuning, Evaluation & Data Pipelines
- Python, SQL, and Statistical Modeling
- Translating data into actionable insights
I am actively seeking internship and early‑career opportunities in Data Analytics, Machine Learning, or Software Engineering, where I can solve real‑world problems at scale.
📫 Feel free to reach out for collaboration, research, or internship opportunities.
Experiece: 6 months
Yearly salary: $30,000
Hourly rate: $30
Residency: 🇭🇰 Hong Kong
Experience
Software Engineer Intern
Hitachi Rail HK 2026 - 2026
Designed and executed end-to-end LoRAfine-tuning pipelines to adapt general-purpose LLMs to domain-specific tasks, demonstrating applied depth in model training and adaptation. Engineered reproducible data preprocessing pipelines and structured JSONL datasets for instruction-following and classification benchmarks, ensuring data integrity across experimental runs. Built systematic evaluation frameworks to compare model outputs across adapter variants and training configurations, supporting hypothesis-driven analysis and reproducible reporting.
Quality Engineer Intern
Intelli Global Corporation 2025 - 2025
Streamlined the software delivery QA process by implementing Python-based test automation, increasing team productivity, and safeguarding a mission-critical product deployment. Conducted needs-analysis with key client stakeholders and developed user-centric training materials, reducing client onboarding time and improving tool utilization. Supported senior consultants on projects delivering data-driven solutions for public sector clients, gaining hands-on experience in smart city implementation and digital governance frameworks.
Skills
full-stack
machine-learning
ai
english