Ge Arum

About Ge Arum

As a MACHINE LEARNING ENGINEER-cum-DATA SCIENTIST, I have formal education & practical training (via M.I.T, a data science bootcamp, & an M.S. in A.I; Academic ePortfolio: eportfolio.greatlearning.in/0ge-arum, GitHub Repository: github.com/GentlemanOfWounds) and professional experience (@ POWER Eng\'s & wsp) in data science utilizing machine & deep learning. Although **extensively knowledgeable, skilled, & adroit in many approaches within the utilization of artificial intelligence for solving business or research problems**, I am deepening my expertise & productivity in computer vision (esp\' using frameworks such as YOLO, OpenCV, DeepSORT, & Tesseract or EasyOCR) for electrical engineering, natural language processing [inc\' using BERT, other Transformer-based algo\'s, and MS Azure\'s PaaS for MLOps (esp\' GraphRAG-based LLMOps)], and multivariate polynomial regression analyses leveraging artificial neural networks containing hyperparameters tuned w\' Bayesian Opti\' C.V. My recent focus is elucidating econometric biz nebulosities by utilizing vanguard clustering, classification, regression, & data augmentation via synthetic data generation methodologies on the Azure Databricks MLOps PaaS. As a MOLECULAR NEURO-ENDOCRINO-GERONTOLOGIST (ORCID Number: I have *nonpareil* gerontological education (from U.C- Berkeley,*et al.*) & professional experience focused on discovering / designing treatments for the syndrome of senescence. I am well-qualified to succeed in research endeavors leveraging the Longevity Dividend Concept to address aging-consequent indications [with a particular focus on the amelioration of the most common ailments of geriatric patients (*i.e.*: neuroendocrinological dysfunction, cognitive decline, neuromusculoskeletal frailty, and chronic pain)].MOLECULAR BIOMEDICAL EXPERTISE- biotechnologies (*e.g.*: vector design, construction, & injection / delivery)- extensive expertise in mammalian cell culture-[particularly w\' primary neural (*i.e.*: adult neuronal & glial) cells & fibroblasts], charge-/ affinity-based protein purification, protein- and cell-based assays - extensive expertise in *in vivo* mammalian research [*e.g.*: gen\' husbandry, phenotyping (inc\' performing cognitive & locomotive behavioral assessments), tissue isolation & processing for histology, RNA & protein analyses, injections (ip, sc, p.o, iv, & icv), and blooddrawing from facial vein, tail vein, heart,*etc\'*]- biomedical imaging experience w\' manifold types of microscopes (*e.g.*: confocal fluorescence

Experience

1. Visioneer

   Power Engineers

   Jan 2024 — Present · jacksonville, IL, US

   Official Title:** Lead Professional, Data Science**Remit:** Provide advanced assistant capabilities to engineers & other staff at POWER Eng\'s through machine / deep learning-augmented text generative A.I, image generative A.I, descriptive & inferential statistical, dimensionality reduction, clustering, multi-variate multi-class classification, multi-variate polynomial regression, & time-series forecasting analyses & consulting**Responsibilities Specifically for Text Generative A.I. Large Language Model Operations (LLMOps) Research & Data Engineering:** A. Pre- & post-process various types of unstructured data common to an electrical & environmental engineering consulting company (*e.g:* documents, reports, 2- or 3-dimensional diagrams,*etc\'*); B. Consult w\'*actual* data engineers on data culling & storage on DataBricks Lakehouse-based Modern Data Platform; C. Use Microsoft (MS) Azure\'s Document Intelligence to determine & generate chunk length & content**II. Artificial Intelligence (Machine Learning) Engineering:** A. Combine retrieval-augmented generation (RAG), knowledge graphs (via MS Azure\'s GraphRag), OpenAI GPT-4-founded large language models, and *ad hoc* Python scripting to create MS Azure\'s PromptFlow flows for each set of unstructured, semi-structured, or structured data; B. Execute automated batch evaluations of flows thusly generated; C. For best-performing flows, create plug-in interfaces (*i.e.*: endpoints) to be used via MS Azure\'s Semantic Kernel; D. Satisfy project-specific requirements of POWER Eng\'s engineers & other Software Development:** program Python snippets, code-blocks, and/or complete scripts to integrate with MS Azure PaaS/IaaS services or other applications via A.P.I\'s on *ad hoc* bases **Secondary Responsibilities:**I. Statistical, Machine Learning, and Experimental Design & Analysis ConsultingII. L.L.M. Best Practices (esp\' prompt engineering) Consulting

Education

• University of Colorado Boulder

  Doctor of Philosophy - PhD, Molecular, Cellular, & Developmental Biology

• Maryville University of Saint Louis

  Master of Science - MS, Artificial Intelligence

• University of Michigan Medical School

  Post-Doctoral Research, BioGerontology

• Johns Hopkins University Advanced Academic Programs

  Bioinformatics

• Self-educated

  Science

• Southern Illinois University School of Medicine

  Post-Doctoral Research, Geriatric Medicine

• University of California, Berkeley

  Bachelor of Science - BS, Molecular & Cell Biology and Integrative Biology (double major)