PORTFOLIO / 2026
COMPUTER VISION · NLP · APPLIED AI
JAKARTA, INDONESIA
Building production-aware vision and language systems from research to deployment.
Applied machine-learning systems built with deployment, reproducibility, and measurable outcomes in mind.
01↗YOLOv8 and Faster R-CNN ensembles with LAB color-space augmentation, exported to ONNX for lightweight deployment in diagnostic workflows.
02↗A Dockerised FastAPI service demonstrating production-aware model serving with reproducible training, artifact tracking, and confidence-calibrated predictions.
03↗Config-driven NLP orchestration built on facebook/bart-large-mnli to classify public feedback without fine-tuning, complete with trend reporting and dashboard-ready exports.
Conference contributions and documentation showing how experimental work becomes credible, shareable research.
01Presented findings on LAB color-space augmentation for malaria diagnostics, alongside the YOLO + Faster R-CNN ensemble workflow.
Read the paper↗
02Official documentation from the AMLDS 2025 proceedings, supporting ongoing IP work on malaria parasite detection tooling.
View certificate↗From game development and product leadership to graduate research and applied machine learning.
Feature enhancement of medical images and training YOLOv11 with it. Further details can't be mentioned.
Thesis on malaria parasite detection using YOLO and Faster R-CNN; GPA 3.73/4.00. Led research warehouse analytics projects and hotel pricing studies.
Delivered NLP-driven CV summarisation, ensemble model experiments, and MLOps practices across regression, classification, and deep learning tracks.
Guided a mental-health chatbot initiative, aligning stakeholders, shaping product direction, and contributing to UX and model prototyping.
Worked on the Unity development and programming side of a Virtual Reality Education Room project, building the interactive systems and backend logic that let teachers teach using digital-twin 3D objects such as human hearts, engines, or other real-world models.
Designed growth programs, facilitated training, and built a high-performing student community through structured evaluations.
Completed the international informatics engineering track with GPA 3.68/4.00, expanding cross-cultural collaboration and applied coursework experience.
Graduated with GPA 3.68/4.00; built an educational game that teaches algorithmic thinking and contributed to multiple applied research projects.
A practical stack spanning model development, evaluation, serving, automation, and analytical communication.
Python02
PyTorch03
TensorFlow04
Keras05
scikit-learn06
Hugging Face
FastAPI02
Docker03
Flask04
MLflow05
GitHub Actions06
Airflow
PostgreSQL02
SQL03
Power BI04
Plotly05
Tableau06
Streamlit
Unity (VR/AR)02
Figma03
GitLET'S BUILD SOMETHING USEFUL.
Open to engineering roles, research collaborations, and projects across computer vision, NLP, and MLOps.
shafrisyamsuddin@gmail.com↗