Neural Vision
Systems that detect, classify, count, and understand visual environments with measurable accuracy.
TensorFlowPyTorchOpenCV
AI ENGINEER / SURABAYA, ID
Building IntelligenceThat Sees & Understands.
Bridging machine precision with human purpose through computer vision, machine learning, and language intelligence.
Available for AI opportunities
SCROLLTO EXPLORE ↓
01
THE MANIFESTO
Technology is temporary.
Useful intelligence endures.
— MBA.
I am an internationally certified AI Engineer focused on intelligent systems that solve real-world problems.
My practice moves from research to production: preparing data, training models, shaping APIs, and turning complex intelligence into tools people can actually use.
CAPABILITIES
The instruments
of my practice.
From neural perception to robust deployment, every tool serves one objective: precise, dependable intelligence.
Language Systems
RAG pipelines and agents that turn dense internal knowledge into direct, useful answers.
LangChainChromaDBLLM
Applied Architecture
Clean backends and deployment workflows built to take experimental intelligence into production.
PythonFastAPIDocker
PROFESSIONAL JOURNEY
Experience,
carved in practice.
Work shaped by real datasets, operational constraints, and measurable outcomes.
AI Engineer Freelance
PT Aptikma Teknologi Indonesia
- Improved a client chatbot backend for Binamarga using FastAPI.
- Built a RAG agent for internal company documents.
- Integrated vector search to reduce document-loading time.
AI Engineer Intern
PT Aptikma Teknologi Indonesia
- Trained a people-counting model with approximately 90% accuracy.
- Built an 80%-accuracy fire-detection model for PTPN Jember.
- Prepared 7,000+ computer-vision samples per project.
ACADEMIC FOUNDATION
Research gives
the work its rigor.
A physics foundation trained me to question assumptions, measure outcomes, and build from first principles.
B.Sc. in Physics
Universitas Negeri Surabaya
3.79GPA / 4.00
Q4International journal
Cum LaudeAcademic distinction
Independent Study in AI
PT Artificial Intelligence Center Indonesia
An intensive end-to-end AI program, culminating in NutriSense—an automated nutrition recommendation website.
View certificate ↗SELECTED WORKS
Intelligence,
made tangible.
Five systems built across perception, language, and recommendation.
COMPUTER VISION / 202501Bacteria
Bacteria
Counter
Detecting and counting bacterial colonies from image data to turn manual visual work into a repeatable digital workflow.
PythonOpenCVVision
View case study ↗
APPLIED VISION / 202502Fire
Fire
Detection
A computer-vision model built for PTPN Jember to identify fire in operational environments at approximately 80% accuracy.
TensorFlowOpenCVDetection
INTERNAL PROJECT
COMPUTER VISION / 202503People
People
Counting
A monitoring model that counts people in operational environments, reaching approximately 90% accuracy.
PythonTensorFlowOpenCV
INTERNAL PROJECT
LANGUAGE INTELLIGENCE / 202504Document
Document
Intelligence
A RAG agent that understands internal company documents and supports a client-facing chatbot workflow.
LangChainChromaDBFastAPI
CLIENT WORK
MACHINE LEARNING / 202405Nutri
Nutri
Sense
An automated recommendation platform designed to suggest meals with optimized nutritional value.
PythonMLWeb App
CAPSTONE PROJECTCREDENTIALS & RECOGNITION
Proof of
the practice.
THE NEXT INQUIRY
Let’s build what
stays.
Open to AI engineering opportunities, ambitious collaborations, and useful problems worth solving.
muhammadbagoesa@gmail.com ↗