Shakil Rana
ML Engineer & AI Researcher | LLM | Computer Vision
ML Engineer and AI Researcher with experience in production ML/RAG, computer vision, and NLP systems, backed by research expertise in Medical AI, Deep Learning, and GNNs with 6 peer-reviewed publications. Skilled in developing ML solutions and translating research into practical applications. Currently pursuing an M.Sc. in Artificial Intelligence and Intelligent Systems at the University of Bremen.
Work Experience
ML Engineer
KodeEnd IT Solutions AB (Bangladesh Office)
September 2024 - November 2025
- Built ML pipelines for sports analytics platform integrating real-time API data to predict match outcomes and player statistics
- Developed Tellecto AI using Deepgram + OpenAI for accurate call transcription and automated insights
- Created company chatbot with LangChain + RAG, deployed via Django API for internal knowledge-based Q&A
- Automated workflows with Deepnote and optimized large-scale datasets in MongoDB/Airtable for full ML lifecycle
- Tech Stack: Python, TensorFlow, Scikit-learn, Deepnote, MongoDB, Airtable, Django, LangChain, RAG
ML Researcher
DIU Health Informatics Research Laboratory (HIRL)
August 2022 - September 2024
- Designed and implemented CNN and GNN models for multi-modal medical imaging improving diagnostic accuracy
- Built pipelines for preprocessing, feature extraction, and ensemble learning for classification tasks
- Optimized NLP and computer vision models using TensorFlow and PyTorch, reducing error rates in medical workflows
- Applied XAI (Explainable AI) techniques for transparency in AI-assisted healthcare
- Collaborated on multiple peer-reviewed publications in journals and international conferences
Instructor
Learn & Grow — Dhaka, Bangladesh
September 2023 - Present
- Teach and mentor students in Python programming, Machine Learning, and robotics through hands-on, interactive sessions
- Organized and conducted the "Generation of Innovators: Junior Robotics – Hands-on Workshop" at Bashundhara Public School and College
- Developed practical exercises guiding students through AI and robotics concepts using Python-based tools and frameworks
ML Engineer (Intern)
Mentorness, India
January 2025 - February 2025
- Contributed to supervised learning pipelines and model evaluation
- Worked on real-world ML projects applying industry best practices
Contact Information
linkedin.com/in/shakil-rana-a1b383256
researchgate.net/profile/Shakil-Rana-3
Duntzestraße 30, 28197 Bremen-Woltmershausen, Germany
Reference
Dr. Md. Zahid Hasan
Associate Professor & MIS Coordinator
Director of HIRL Lab, Department of CSE
Daffodil International University