Nurhikam
I build AI systems that think, act, and ship.
I'm fascinated by the gap between AI research and real-world impact.
My work spans from research (IEEE publications, book author) to production systems (Bank Mandiri, RegTech.ID).
AI Software Engineer with 2.5+ years of experience building agentic AI systems, advanced RAG pipelines, and computer vision solutions for enterprise use cases. I translate complex business problems into production-ready deployments.
About Me
With a background in Mechatronics and Artificial Intelligence, I focus on the engineering side of AI. I don't just train models. I optimize and package them to solve tangible problems, whether that means deploying high-speed inference on constrained edge hardware, or building autonomous multi-agent pipelines for enterprise finance.
What excites me is building AI systems that actually work in production. I prefer reliability over hype, and that shapes how I approach every project.
My work spans from research (IEEE publications, book author) to production systems (Bank Mandiri, Bank BNI, RegTech.ID, Stechoq, Braincore).
Want to see how I approach these challenges? Check out my signature projects or read my latest thinking.
Featured Projects
Production-grade AI systems solving real enterprise challenges.
Enterprise Agentic AI System
Bank Mandiri
Engineered an Agentic AI system powered by Advanced RAG, with data orchestration pipelines transforming high-noise unstructured data into structured, LLM-ready datasets. Agents execute multi-step reasoning and tool calls to securely query proprietary data.
Enterprise-Scale — Autonomous Agents in Production
Real-Time CCTV Analytics & Edge AI
Stechoq Robotika
Built YOLOv11-based CCTV analytics for workspace occupancy tracking. Optimized with TensorRT for 3× inference speed and 40% GPU memory reduction. Deployed automatic attendance for 50+ staff, reducing manual errors by 85%.
3× — Inference Speed via TensorRT
Regulatory Document AI — Regina.ai
RegTech.ID
Developed a LangChain-powered comparison engine for complex legal texts, achieving 95% accuracy. Built automated web scraping for real-time government data, improving acquisition speed by 300%. Integrated voice and image recognition features.
95% — Accuracy on Legal Text Comparison
Experience
Professional journey and impact.
AI Engineer
Simplify Consulting Indonesia
(Bank Mandiri | Bank BNI - Enterprise AI & Digital Transformation)
- •Engineered and optimized an enterprise AI system powered by Advanced RAG for a large-scale banking digital transformation initiative.
- •Developed automated impact analysis modules to evaluate system changes and extract predictive insights from complex regulated business workflows.
- •Engineered automated document extraction and parsing pipelines for complex technical PDFs using dots.ocr, handling document layout understanding and preprocessing high-noise unstructured data into clean formats for continuous LLM ingestion.
- •Implemented autonomous agents capable of multi-step reasoning and tool execution to securely query proprietary banking data.
- •Designed and maintained automated data ingestion pipelines covering scraping, preprocessing, and vector database ingestion using a scheduler-based architecture to keep the knowledge base continuously updated.
AI Research Engineer
Allure Industries
- •Architected and developed an end-to-end business process automation system spanning sales order intake through production dispatch, eliminating fully manual workflows.
- •Built Python-based automation scripts with API integrations to connect separate business systems and enable real-time data flow between sales and production teams.
- •Identified and implemented automation opportunities across core operations, reducing manual intervention and improving cross-team efficiency.
Machine Learning Engineer (R&D)
Braincore.id
- •Applied research on Vision Transformer architectures to develop a production-ready image quality assessment model (classifying normal, blur, and bokeh images) for e-commerce use cases, achieving 98.3% accuracy and optimizing the downstream preprocessing pipeline.
- •Orchestrated an end-to-end data pipeline including automated scraping and augmentation to support training and robustness testing.
- •Collaborated with product stakeholders to translate R&D findings into actionable ML deployment strategies and recommendations for production readiness.
Trusted By
Enterprise Clients
Technical Skills
Technologies and tools I use to build AI systems.
Generative AI & Agentic Systems
Machine Learning & Vision
Data Engineering & Backend
Software Engineering & Cloud
Leadership & Mentorship
Leading initiatives and mentoring next-gen talent through community and education.
Technical Advisor & AI Mentor
April 2024 – Present
Guided 25+ capstone teams (~100 mentees) across Machine Learning, Data Engineering, and AI Engineering tracks.
Bangkit Academy
Coding Camp
DBS Foundation
Pijak
IBM SkillsBuild
Asah
Dicoding
- •Conducted structured mentoring sessions to resolve technical blockers and recommend best practices
- •Advised on production ML system design, model development, and deployment strategies
- •Helped mentees bridge the gap between academic foundations and industry-ready implementations
Lead of Machine Learning Curriculum
Google Developer Student Club (GDSC UPI)
September 2023 – June 2024
- •Designed learning paths from Data Manipulation (Pandas) to Deep Learning (TensorFlow).
- •Facilitated hands-on coding sessions helping students build their first deployable ML models.
Publications & Research
Academic contributions, research work, and educational background.
Research focus: Applied AI in Healthcare, NLP, and Educational Technology
Publications
Thesis Research
LLM-Based Virtual Assistant for Comparative Analysis of Journal Articles
Developed a virtual assistant using GPT-4o-mini and LangChain for automated comparative analysis of English journal articles with Indonesian contextual summaries. Bridges language barriers for Indonesian academics.
Education
B.Eng. Mechatronics & Artificial Intelligence
Universitas Pendidikan Indonesia
2021 – 2025
3.79 / 4.00 (Cum Laude)
Get in Touch
Interested in AI systems, technical leadership, and solving complex problems.
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