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.
Sep 2025 - Present
Feature enhancement of medical images and training YOLOv11 with it. Further details can't be mentioned.
2023 - 2025
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.
2024 - 2025
Delivered NLP-driven CV summarisation, ensemble model experiments, and MLOps practices across regression, classification, and deep learning tracks.
2022 - 2023
Guided a mental-health chatbot initiative, aligning stakeholders, shaping product direction, and contributing to UX and model prototyping.
2021 - 2022
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.
2020 - 2022
Designed growth programs, facilitated training, and built a high-performing student community through structured evaluations.
2020 - 2022
Completed the international informatics engineering track with GPA 3.68/4.00, expanding cross-cultural collaboration and applied coursework experience.
2018 - 2022
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.
Python
PyTorch
TensorFlow
Keras
scikit-learn
Hugging Face
FastAPI
Docker
Flask
MLflow
GitHub Actions
Airflow
PostgreSQL
SQL
Power BI
Plotly
Tableau
Streamlit
Unity (VR/AR)
Figma
GitLET'S BUILD SOMETHING USEFUL.
Open to engineering roles, research collaborations, and projects across computer vision, NLP, and MLOps.
shafrisyamsuddin@gmail.com↗