AI Engineer
Nuril
Muhammad Nuril Huda
Develops AI systems with measurable evaluation, from retrieval and video automation to machine learning models for product use.
Selected work
Projects and contributions by Nuril, including independent work and work with previous teams.
- AI for video processing
Ayclip
A Python service that turns long videos into short clips using face tracking, 9:16 reframing, semantic highlights, and synchronized subtitles.
FastAPI · Celery · YOLO · Whisper · FFmpeg
Visit Ayclip - Model experiment · 2026
Text-to-SQL Fine-Tuning
Fine-tuned Qwen2.5-Coder with QLoRA and execution-based SQL evaluation on the BIRD dataset. Results are reported in the context of a local experiment.
Qwen2.5-Coder · QLoRA · SQLite · BIRD
Visit Ayclip - Open source · Data science
DeciSense
A Python data science assistant for validation, profiling, model recommendations, evaluation, and reporting. Deterministic checks precede LLM explanations.
Python · Data validation · Model evaluation
- Open source · Data science
DeciSense
A Python data science assistant for validation, profiling, model recommendations, evaluation, and reporting. Deterministic checks precede LLM explanations.
Python · Data validation · Model evaluation
Areas of expertise
LLMs, retrieval, computer vision, and model evaluation.
LLMs & retrieval
RAG, LangChain, LangGraph, reranking, LoRA, evaluation
Backend & data
Python, FastAPI, PostgreSQL, Celery, PySpark, Docker
Machine learning & vision
PyTorch, TensorFlow, OpenCV, YOLO, Whisper, FFmpeg
Work experience
Jan 2026 – present
Aureum
Founder
Builds a personal finance copilot, covering AI orchestration, analytics, market data pipelines, and application infrastructure.
Mar 2026 – Jul 2026
Ayclip
AI Engineer
Developed asynchronous video pipelines, face tracking, highlight extraction, and transcription-based subtitles.
Oct 2024 – present
Alignerr
AI Evaluation Consultant & Code Review Specialist
Designs ML and data science benchmarks, deterministic graders, and rubric-based solution evaluations.
Education & publications
Universitas Gadjah Mada
Computer vision research using plantar thermograms and temperature data.
Plantar Foot Thermogram
An image enhancement study for early diabetic foot ulceration detection, using a multi-input CNN and ANN model.
Read publicationJava Itu Mudah
A book on Java programming. ISBN 9786023918980.
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