Looking for a job

Abdullah Al Munem

@abdullahalmunem

Machine learning software engineer at Samsung R&D Institute Bangladesh, improving medical image segmentation models for ultrasound.

Bangladesh

Message

At Samsung R&D Institute Bangladesh, I developed and released a segmentation model that improved IoU by 8–14%, and I'm working on ultrasound image processing.

At REVE Systems, I contributed to Bangla speech and language systems, including government STT and TTS projects, and built a real-time voice bot backend. I also developed production AI systems for virtual try-on and microservice workflows, and co-authored peer-reviewed research in computer vision and machine learning.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer – Machine Learning

Current

Samsung R&D Institute Bangladesh

Jun 2026 - Present (5 months)

Developed and released a state-of-the-art segmentation model with improved IoU of 8-14% and 200-300 FPS on RTX3050 GPU. Currently working on ultrasound image processing.

PyTorch Image Segmentation Medical Imaging Model Optimization GPU Computing

Software Engineer – Machine Learning

REVE Systems

Dec 2023 - May 2026 (2 years 5 months)

Reduced WER by 20-35% through fine-tuning Wav2Vec2 and Whisper on Bangla corpora, and built dialect-to-standard translation model. Deployed STT pipeline on Triton Inference Server and developed end-to-end microservice backend for a real-time conversational voice bot.

Wav2Vec Whisper ViT BERT Bi LSTM CRF Triton Inference Server Onnx Docker fastAPI Socket.IO Redis Stable Diffusion YOLOv8 DensePose SCHP Mediapipe Dlib OpenCV Python Django PostgreSQL Celery RabbitMQ WebRTC REST Microservices

Associate Software Engineer

Software Global Consultancy

Jun 2023 - Dec 2023 (6 months)

Developed and maintained a data-driven workflow engine automating branch-to-branch processes for Dhaka Bank. Built people management system for Border Guard Bangladesh and extended an exam simulator and video content platform.

Python Django PostgreSQL Docker Redis Celery LDAP Active Directory

Research Assistant (ML)

Pioneer Alpha

Jul 2022 - May 2023 (10 months)

Enhanced U-Net architecture for brain tumor segmentation, improving Dice score on BraTS dataset; work published at ICCIT 2022. Developed CNN-based dental disease detection pipeline.

U Net CNN PyTorch Medical Image Segmentation BraTS