Mahfuzur Rahman Email and Phone Number

I am an ML Engineer at Lowe's and I currently develop LLM-based self-service solutions for our internal use cases. Previously, I designed and developed components of our ML Platform (similar to Vertex AI) and collaborated with data scientists to develop high-performing ML products. In my previous role at Samsung Electronics, I built ML products for Samsung cameras.I have a Ph.D. in Computer Science, specializing in applied machine learning and Bioinformatics. I cross-functionally collaborated with experimental biologists and data scientists to produce data science products and insights. I have been published in 7+ journals (including Science and Nature Protocols).I volunteer as a Lead ML Engineer and Product Owner at Omdena to build impactful, end-to-end solutions to socioeconomic problems. Recently, I led two teams to develop ML/AI products: (1) an LLM-based generative AI assistant to create carbon projects and (2) an NLP-powered app to detect misinformation in news articles.𝐒𝐊𝐈𝐋𝐋𝐒• Algorithms and Data Structures; end-to-end machine learning• Traditional ML: Regression (linear, random forests), Classification (e.g. gradient boosting, SVM, Logistic regression, Neural Networks), Clustering (e.g. k-means, hierarchical)• Deep Learning, Natural Language Processing, LLMs and LMMs.• Statistical modeling, Hypothesis testing (A/B testing), Markov chain Monte Carlo (MCMC).• Computational biology, analysis of CRISPR-Cas9 data, cancer genomics.𝐋𝐀𝐍𝐆𝐔𝐀𝐆𝐄 & 𝐓𝐎𝐎𝐋𝐒• Python (Scikit-learn, TensorFlow, PyTorch, HuggingFace), R, SQL, C++, Java, Bash• Linux, Git, Docker, Kubernetes, Jenkins, Cloud Platforms (AWS & GCP)• Hadoop, Hive, Presto, Spark, Postgres, Redis, MongoDB, Prometheus, Airflow• MLOps, Feature Store (Feast), Model tracking (MLflow) and training (Kubeflow), drift detection and monitoring (evidently AI), explainable AI (XAI), ArizeGitHub: https://github.com/mahfuz05062