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I transform complex data into clear insights and automated tools. With experience analyzing Microsoft’s campus building-mechanical systems, I specialize in data visualization, reporting, automation, and spreadsheet optimization to help businesses save time and make smarter decisions. Services Offered: • Data Visualization & Dashboards: Build clear, interactive Power BI dashboards and Excel visualizations. • Data Cleanup & Automation: Clean, organize, and automate large datasets to save time and improve accuracy. • Reporting & Analysis: Create professional Excel reports and uncover actionable insights from complex data.

I build data systems that keep working after I leave — no follow-up tickets, no "can you just tweak this" emails six weeks later. Doctor of Engineering in Data Engineering (University of Florida). Former Amazon Data Engineer. I've since built production pipelines, LLM/Claude workflows, and quant backtesting systems for finance and research clients — one client scaled our engagement from 30 to 40 hours/week after the first delivery. WHAT I'VE SHIPPED TO PRODUCTION: → Claude API & LLM workflows — document automation and agent pipelines built on the Anthropic API, wired into existing systems, not standalone demos. → Weekly Tech Tracker — config-driven Python pipeline processing 280,930 rows across 66 companies every week. Adding a new grouping is a config change, not a code deploy. → Valuation Anchor Engine — 817-day backtesting system across AMZN, GOOGL, MSFT, ORCL, statistically corrected (HAC/Newey-West, FDR-adjusted). I report in-sample results as in-sample — you won't find out the hard way that a number was overstated. → Macro Data Pipeline — 20+ FRED series feeding a live Looker Studio dashboard, zero manual refresh steps. → JST Service Awards — VBA Excel automation across 14 business units and 1,000+ employees. Full refresh in under 60 seconds, zero formula errors, CHRO-approved. → National ML Infrastructure — Random Forest/XGBoost ensemble (0.89 AUC-ROC) adopted as the primary screening tool by an international development partner across 47 regions, 160+ staff trained. WHERE I FIT BEST: Claude & LLM integration — API workflows, RAG pipelines, document automation, agent systems Data engineering & ETL — Python, SQL, Snowflake, BigQuery, dbt, config-driven pipelines Quant finance — backtesting, statistical validation, financial modeling Excel/VBA & BI automation — Power BI, Looker Studio, Tableau WHAT MAKES THE WORK DIFFERENT: Config-driven by design, so it doesn't need a developer after handover. QA runs automatically on every execution — not bolted on afterward. And I separate what's proven from what's promising, and say so plainly, before you find out the difference on your own. Send me what you're working with and what "done" looks like — I'll tell you honestly whether I'm the right fit, and roughly what it'll cost and take, before you spend a connect. give you a straight answer on fit, timeline, and cost before you spend a single connect.

Hi, I am Md. Redwan Islam, a Computer Science graduate researcher at the University of Georgia with strong experience in machine learning, artificial intelligence, knowledge graphs, graph neural networks, LLM-based workflows, IoT systems, cloud-based analytics, and research-oriented software development. My recent work focuses on applied AI/ML research and implementation, especially graph-based AI, dynamic graph neural networks, knowledge graph construction, biomedical knowledge representation, explainable AI, and LLM-assisted research systems. I have worked on projects involving biologically inspired framework for scalable and adaptive graph neural networks on various large datasets. I also work on knowledge graph-based biomedical AI, including antimicrobial resistance, horizontal gene transfer, mobile genetic elements, and scientific data integration from heterogeneous biological databases. My experience includes building structured pipelines for data collection, entity-relation modeling, graph construction, semantic representation, graph analytics, and machine learning over complex scientific datasets. In addition to graph AI and knowledge graphs, I have experience with LLM applications, retrieval-augmented generation concepts, AI research automation, question-answering systems, literature-based reasoning, prompt engineering, and integrating LLMs with structured data sources. I can help design AI workflows that connect plain-language questions to databases, knowledge graphs, APIs, or analytical pipelines. At the University of Georgia, I have worked as a Graduate Research Assistant and Graduate Teaching Assistant, supporting courses such as Data Mining, Discrete Mathematics, and Data Science. My academic and research background includes machine learning, deep learning, data mining, signal processing, public health analytics, IoT-based real-time data collection, and cloud-based data analysis. I have also contributed to research involving NHANES data analysis, explainable public health analytics, Raman spectroscopy with machine learning, and brain-computer interface signal classification. Before joining UGA, I completed my B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology. During my undergraduate research, I published an IEEE conference paper on electrocorticography-based motor imagery signal classification using continuous wavelet transform. I later worked as an IoT Software Developer at DataSoft Systems Bangladesh and as a Satellite Operation / Computer and Data Center Engineer at Spectra International Limited, where I contributed to the Bangabandhu Satellite-1 project with Thales Alenia Space, France. That work involved server installation, application software maintenance, networking equipment, switches, routers, and data center infrastructure. I can help with: Machine Learning and Deep Learning Graph Neural Networks and Graph Analytics Knowledge Graph Construction and KG-Based AI LLM Applications and RAG-Style Workflows Biomedical and Scientific AI Pipelines Python Data Analysis and Research Prototyping NLP, Data Mining, and Text Analytics IoT Data Collection and Cloud-Based Analytics Database Design, APIs, and Backend Development Academic Research Coding, Experimentation, and Paper-Ready Results My technical stack includes Python, PyTorch, TensorFlow, Keras, scikit-learn, NumPy, SciPy, Pandas, R, MATLAB, Java, C/C++, C#, JavaScript, Node.js, REST APIs, Django, Laravel, SQL, MySQL, MongoDB, Linux, Docker, Git, GitHub, AWS, Azure, SPSS, LaTeX, and data visualization tools. I am especially interested in projects where AI research needs to be turned into a working prototype, reproducible codebase, analytical pipeline, technical report, or production-ready proof of concept. If your project involves machine learning, knowledge graphs, LLMs, graph data, scientific datasets, biomedical AI, or research-driven software development, I can help you build it carefully, clearly, and rigorously.

I am a software developer specializing in maps and geospatial data. - Map-making and GIS software: QGIS, Mapbox, Mapbox studio - Web development frameworks: React, Django, FastAPI - Programming languages: Python, Javascript, Typescript I use a combination of Typescript and Tailwind CSS for responsive map dashboards and websites. I am passionate about creating web-based software that works across mobile and desktop. I use Python for backend programming and computational tasks. I have experience with - Jupyter notebooks - web scraping - scripting in the QGIS console - data wrangling with scientific Python libraries I have worked with seed stage startups to create their first products and secure funding for their projects. I am passionate about empowering independent businesses and creators to reach their full potential. I have diverse experience as a creator, manager, and developer including - Chef-driven restaurants - Artisan bread making - Wilderness trip leading and management - Sustainable, organic farming - Adventure tourism - Ceramic art and pottery I am an effective, detail-oriented developer with a keen eye for design. I can promise clear communication and thorough work. Thank you for your interest in my profile! Take a look at my portfolio and personal website to see what I've been developing.