Experienced Machine learning engineer with 8+ experience and a Ph.D., a postdoc, and industry experience to augment the skillset 4.5 years experience in AI/ML applied to life science data (Imaging, clinical data, omics data, structural and functional data of proteins, disease data, protein network data, gene network data) 2.5 years experience in developing ML SaaS solutions at scale for medicinal chemistry Well versed programmer with good command on 3 languages (R, Python, C++) and hands-on experience on some great ML libraries (Tensorflow, PyTorch, Scikit-learn, Keras, Pandas, Bokeh) Admirer and practitioner of containerization (Docker, Virtual env) CI/CD admirer (AWS CodeBuild/CodeDeploy) RESTful APIs connoisseur (Flask, microservices) True believer of collaboration (Git, Tex) Avid researcher and applied AI practitioner in medicine/medicinal chemistry A perpetual learner with a background in electrical engineering but a gradual shift towards machine learning, data science and AI. Started from statistical signal processing and now excels in deep learning.