Profile —
ML Engineer with 1+ year in production AI/ML and 4+ years fullstack experience in healthcare SaaS.
Erasmus Mundus Master in Medical Imaging (MAIA); research at INSERM Dijon on 3D brain segmentation.
End-to-end ML pipelines (PyTorch, TensorFlow), Computer Vision, LLM / VLM, AI Agents (MCP, RAG)
and cloud deployment (FastAPI, Docker, AWS / GCP, Databricks).
Open to ML / CV / AI Agent roles in France & remote-worldwide.
Professional Experience
BLACKBIRD.AI — New York, USA (Remote)
- Model Training & LLM Fine-tuning
- Data preparation & large-scale data analysis
- Model Deployment & Monitoring
- Collaborating across engineering and research teams on model deployment
INSERM UMR 1231, NEUROGEMM — Dijon, France
- Built an automated nnU-Net segmentation pipeline for high-resolution 3D histological mouse brain volumes (Python, PyTorch)
- Preprocessed and managed large-scale 3D imaging datasets on GPU cluster
- Contributed to scientific documentation and internal research presentations
Vision Eye Hospital — Dhaka, Bangladesh
- Designed development and maintained a hospital ERP / HIMS solution
- Built modules for prescriptions, diagnostics, surgical workflows
- Managed DevOps with Nginx/Apache on Linux
Research Projects
3D Mouse Brain Segmentation
— nnU-Net, PyTorch
[github]
Automated pipeline for high-res histological 3D brain data.
CT Image Registration — Elastix + SimpleITK
[github]
Rigid and affine registration framework for multi-modal medical images.
3D Brain Tissue Segmentation (MRI)
— TensorFlow, PyTorch, U-Net
[github]
WM / GM / CSF tissue delineation from volumetric MRI scans.
Skin Lesion Classification
— VGG16, ResNet50, Keras
[github]
Transfer learning on dermoscopic images with cross-validation fine-tuning.
Retinal Image Analysis (2D)
— Classical CV pipeline
[github]
Thresholding + morphological operations for hard exudate segmentation.
Education
Erasmus Mundus Joint Master
Medical Imaging & Applications (MAIA)
Sept. 2022 – Aug. 2024
Université de Bourgogne — Dijon, France
Università degli Studi di Cassino — Italy
Universitat de Girona — Spain
Medical image segmentation & registration, deep learning, computer-aided diagnosis, surgical robotics, e-health.
MSc — Software Engineering
Tianjin University, China
BSc — Computer Science & Engineering
Bangladesh University, Bangladesh
Technical Skills
| ML / DL | PyTorch, TensorFlow, Keras, Scikit-learn, nnU-Net |
| Computer Vision | Segmentation, Registration, Classification, 3D Volume Analysis, OpenCV |
| AI Agents | LangChain, LangGraph, MCP, RAG, Tool Use, OpenAI / Gemini APIs |
| Medical Img. | Segmentation, Registration, CAD, 3D volume analysis |
| Cloud / Data | AWS (EC2, S3), GCP, Databricks |
| DevOps | Docker, CI/CD, Linux, Nginx |
| Tools | Git, REST API, Jupyter |
Languages
Bengali — Native
English — Upper-intermediate (B2)
French — Beginner (A1–A2, actively learning)
Training & Schools
17th EXCITE Summer School
Biomedical Imaging
ETH Zurich & Univ. of Zurich, Switzerland
Sept. 2023
Winter School 2023
Università di Cassino, Italy
Feb. 2023
Target Roles
- ML / AI Engineer — Medical Imaging, Health-Tech
- Computer Vision / R&D Engineer
- AI Agent / LLM Engineer (MCP, Agents, RAG)
- Fullstack Engineer (Python / Vue / React)
- MLOps Engineer (Docker, AWS, GCP, Databricks, CI/CD)
ATS Keywords
Medical Imaging · 3D Segmentation · Deep Learning · Computer Vision · PyTorch · nnU-Net ·
SimpleITK · OpenCV · Python · FastAPI · Vue.js · React · Docker · AWS · GCP · Databricks ·
LLM · VLM · GPT-4 · Claude · Gemini · CLIP · LLaVA · Fine-tuning · Prompt Engineering ·
MCP · AI Agents · LangChain · LangGraph · RAG · CI/CD · MLOps · REST API · SaaS · INSERM · Erasmus Mundus