CV
Curriculum Vitae, Shakil Mahmud Shuvo
Machine learning engineer and researcher with hands-on experience building LLM-powered enterprise systems and a research background in healthcare AI. Published 6 peer-reviewed papers (ACM, IEEE, Springer) on medical imaging, deep learning, and NLP for mental health detection. Currently seeking PhD programs in ML/AI to pursue research in federated learning, multimodal reasoning, and explainable medical AI.
Associate Data Scientist Current
- Led data integration for LambdaX, an AI-powered Contract Lifecycle Management platform, deployed at Lockheed Martin
- Built LLM-powered workflow generation system using MCP server architecture; intelligent chatbot for automated workflow creation
- Designed custom ML-driven data workflows and automation pipelines for enterprise clients
- Built scalable ETL pipelines ingesting contract data from SAP, Salesforce, and internal systems
- Implemented real-time contract data management with predictive analytics capabilities
Generative AI Trainer Part-time Current
- Advanced AI model training via structured text conversations; expert feedback on LLM performance and accuracy
- Hallucination detection and comprehensive AI response evaluation (factual accuracy, grammar, tone alignment)
- Systematic AI voice response analysis across instruction adherence, truthfulness, and harmlessness
Associate Software Engineer, Machine Learning
- Built ML recommendation models, increasing user engagement 15% through personalized suggestions
- Designed contextual NLP + deep learning recommendation PoC, improving relevance by 20%
- Integrated OpenSearch as vector database for embedding storage and semantic retrieval pipelines
- Deployed ML solutions via REST APIs with model versioning; collaborated on microservice architecture
Research Assistant Ongoing
- Research in medical imaging, deep learning, computer vision, and NLP for mental health
- Developed CNN and attention-based models for medical image analysis, achieving 18% diagnostic accuracy improvement
- Contributed to 6 academic publications (2 first-author) published in ACM, IEEE, and Springer
- Mentored junior researchers on ML methodologies, experimental design, and academic writing
B.Sc. in Computer Science & Engineering
- CGPA 3.22/4.00 · Last 60 credit average 3.71/4.00
- Thesis: A Two-Phase Framework for Multi-Class Brain Tumor Detection using DenseNet-121 Features and ML Ensembles
- Supervisor: Md. Farukuzzaman Faruk, Asst. Professor, Dept. of CSE, RUET
- Mentor at RUET Analytical Programming Lab · Organizing Member at RUET e-Sports Club
Higher Secondary Certificate, Science
- GPA 5.00/5.00
- Group Representative at Outward Bound Adventure Club, Notre Dame College
Md Asif Iqbal Fahim
Shakil is an exceptional Machine Learning Engineer who brings a rare combination of deep technical expertise and practical business acumen to every project. During his time at IdeaScale, he transformed our recommendation system by implementing sophisticated solutions ranging from ALS-based matrix factorization to context-aware recommendation engines. What sets him apart is not just his technical skills, though his work optimizing Sentence-BERT was impressive, but his ability to deliver tangible business value. Shuvo would be a valuable addition to any team looking for someone who can bridge the gap between ML research and real-world application.
Md Ariful Islam Rana
I have the pleasure of working with Shuvo at IdeaScale, where he plays a pivotal role in developing large-scale recommendation systems. Shuvo's expertise in Python and machine learning is instrumental in enhancing our platform's user experience. His clean, maintainable code and deep understanding of data structures and algorithm design make complex problems manageable. His passion and commitment to continuous learning for AI and cutting-edge ML topics make him an invaluable asset. I highly recommend Shuvo for any ML/AI engineer role.