Md. Shohanur Islam Sobuj
Machine Learning Engineer & Researcher
Professional Summary
Experienced Machine Learning Engineer and Researcher specializing in MLOps, NLP, Computer Vision, and distributed systems. Published researcher with expertise in transformer architectures, contrastive learning, and medical AI. Proven track record of building scalable ML infrastructure and deploying production ML systems across diverse domains.
Work Experience
Machine Learning EngineerCurrent
Anymate Me GmbH
Developing and deploying MLOps-driven ML solutions to streamline business processes
- Developing MLOps pipelines for automated model deployment and monitoring
- Implementing scalable ML solutions using modern cloud infrastructure
- Collaborating with cross-functional teams to deliver AI-powered business solutions
Machine Learning Engineer
Business Automation Ltd.
Built scalable ML infrastructure and microservices with focus on data streaming and OCR systems
- Built scalable ML infrastructure and microservices architecture
- Implemented Change Data Capture (CDC) with MySQL using Debezium, Kafka, and Zookeeper
- Delivered SmartRemarks NLP system for automated content analysis
- Developed OCR-based TIN certificate validation system with 95%+ accuracy
- Designed event-driven architectures for real-time data processing
Machine Learning Engineer
Anchorblock Technology LLC
Developed large-scale distributed ML systems and implemented comprehensive MLOps practices
- Developed large-scale distributed machine learning systems handling millions of data points
- Implemented MLOps principles including CI/CD pipelines for ML model deployment
- Built diverse AI chatbots and conversational AI systems
- Designed and developed APIs for seamless ML/AI model integration
- Led technical architecture decisions for distributed computing systems
Technical Skills
Programming Languages
Machine Learning & AI
MLOps & DevOps
Cloud Platforms
Databases
Web Development
Tools & Technologies
Publications & Research
Parameter-efficient fine-tuning of large language models using semantic knowledge tuning
Md. Shohanur Islam Sobuj, et al.
Scientific Reports (Nature)
Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification
Md. Shohanur Islam Sobuj, Md. Imran Hossen, Md. Foysal Mahmud, Mahbub Ul Islam Khan
2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)pp. 1-6
L-TUNING: Synchronized Label Tuning for Prompt and Prefix in LLMs
Md Kowsher, Md. Shohanur Islam Sobuj, Asif Mahmud, Nusrat Jahan Prottasha, Prakash Bhat
ICLR 2024 Tiny Papers Track
Contrastive Learning for Universal Zero-Shot NLI with Cross-Lingual Sentence Embeddings
Md Kowsher, Md. Shohanur Islam Sobuj, Nusrat Jahan Prottasha, Mohammad Shamsul Arefin, Yasuhiko Morimoto
Findings of the Association for Computational Linguistics: EMNLP 2023pp. 892-905
Key Projects
SmartRemarks NLP System
End-to-end NLP system for automated content analysis and sentiment classification
- Real-time text analysis with 92% accuracy
- Scalable microservices architecture
- Production deployment handling 10K+ requests/day
OCR-based TIN Certificate Validation
Computer vision system for automated TIN certificate processing and validation
- 95%+ accuracy in certificate text extraction
- Reduced manual processing time by 80%
- Fraud detection capabilities
Distributed ML Infrastructure
Large-scale distributed machine learning system with real-time data processing
- Handles millions of data points daily
- Auto-scaling capabilities
- 99.9% uptime in production