Hire the Best Pandas Developers in Georgia

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.

Hello 👋 my name is William. I helped PwC save 19,837 hours of manual work and drive $3.71M in efficiency gains by automating manual processes. I build and deploy AI-powered automation systems that cut processing times, boost data accuracy, and drive real results. I’ve delivered success across tax, insurance, and legal workflows using tools like N8N, Azure Document Intelligence, Databricks, Power Automate, and Langgraph. Certified in Azure and Databricks, I combine software engineering and data analytics to deliver enterprise-grade AI solutions at scale.

Healthcare practices and health-tech companies hire me when they need FHIR integration, HL7 integration, or HIPAA-compliant backend development done right the first time. I'm a backend developer and API integration specialist. My work sits at the intersection of healthcare software development, EMR integration, and workflow automation — the technical layer that keeps clinical and billing operations running without manual intervention. Healthcare API & Interoperability I build FHIR R4 and HL7 v2/v3 integrations that connect disparate healthcare systems — from Epic integration and Athenahealth integration to Kareo integration, eClinicalWorks integration, SimplePractice integration, DrChrono integration, and AdvancedMD integration. Whether you need a SMART on FHIR implementation, a CCD/CDA document pipeline, or a custom X12 EDI claims integration, I've worked with the standards that govern how healthcare data moves. RCM Automation & Medical Billing Software I build RCM automation systems that eliminate the manual steps between a completed visit and a paid claim. This includes claims submission automation, eligibility verification workflows, prior authorization automation, denial management pipelines, payment posting automation, and AR follow-up systems. If your practice is losing revenue to manual billing processes, I build the automation that closes that gap. HIPAA-Compliant Application Development Every application I build follows HIPAA compliance standards from day one — PHI encryption at rest and in transit, role-based access control, audit logging, automatic session timeouts, and secure BAA-covered infrastructure on AWS HIPAA-eligible services. I also build to SOC 2 and ONC standards when required. What I build: → FHIR API integration with Epic, Athenahealth, Cerner, Kareo/Tebra, eClinicalWorks → HL7 interface development — ADT, ORU, ORM, MDM message types → Patient portal development — intake forms, scheduling, secure messaging → Telehealth application development — HIPAA-compliant video and messaging → Medical billing dashboards — AR aging, denial rates, collections analytics → EHR integration with third-party platforms via REST API and webhooks → Healthcare data pipelines — FHIR to database, reporting, Power BI → Insurance credentialing workflow automation → Benefits verification automation via payer APIs → Electronic health records custom development and integration → Revenue cycle management software and automation → Medical records software integration and migration EMR & Billing Platforms I work with: Epic · Athenahealth · Oracle Cerner · Kareo/Tebra · eClinicalWorks · SimplePractice · DrChrono · AdvancedMD · Office Ally · CollaborateMD · Practice Fusion · Medisoft · CareCloud · NextGen · Allscripts Technical Stack: Backend: Node.js · Python · PHP · Laravel · REST APIs · GraphQL · Webhooks Healthcare: FHIR R4 · HL7 v2/v3 · X12 EDI · SMART on FHIR · CCD · CDA · DICOM Cloud: AWS · Google Cloud · Docker · Kubernetes · Vercel · GitHub Database: MySQL · MongoDB · PostgreSQL Frontend: React · Next.js · Tailwind CSS · JavaScript Specialties by practice type: Mental health practices · Dental billing · Hospice software · Chronic care management · Urgent care · Cardiology · Multispecialty groups · Telehealth platforms · Health-tech startups · RCM companies I work with solo providers, multispecialty groups, RCM companies, and health-tech startups. If your project involves healthcare interoperability, medical billing automation, EHR/EMR integration, or HIPAA-compliant development — message me and let's scope it out. Healthcare API developer · FHIR integration specialist · HL7 developer · HIPAA compliant backend · EMR integration · EHR integration · RCM automation · medical billing automation · Epic FHIR · Athenahealth API · Kareo integration · eClinicalWorks developer · SimplePractice API · patient portal developer · telehealth app development · prior authorization automation · denial management software · insurance credentialing automation · benefits verification · healthcare interoperability · X12 EDI · SMART on FHIR · CCD CDA · revenue cycle management · medical records software · healthcare software development · HIPAA app development

Do you need a reliable DevOps engineer who can build, optimise and scale your cloud infrastructure so you focus on your product and business growth? With 16 years in software engineering and cloud operations – including roles at AWS and Booz Allen Hamilton – I specialise in helping SaaS and AI/ML platforms launch and operate on AWS with Kubernetes, Terraform and FastAPI-powered microservices. What I help you achieve: Design and implement K8s clusters on EKS + Terraform infrastructure automation Build end-to-end CI/CD pipelines, from GitOps to production deployments Develop scalable FastAPI services integrated with AWS Lambda, RDS/PostgreSQL, S3/Data Lake Optimise your cloud cost, resilience and deployment velocity Why me: Delivered high-throughput platforms for enterprises and startups Led teams, worked as CTO/VP, startup mentor — I speak both business + tech Strong track record of simplifying complex systems, reducing time-to-market If your goal is scale without chaos, let’s schedule a call and map your next milestone. Availability: I’m open to contract roles and contract-to-hire engagements. Message me and we’ll schedule a quick call.

🚀 Harnessing over a decade of deep technical immersion in AI-driven media management, I stand at the forefront of AI automation, specializing in crafting cutting-edge algorithms tailored for the media and entertainment sectors. At the core of my expertise lies the fusion of deep learning, natural language processing, and media workflow optimization. 🛠️ One of my marquee achievements includes the creation of an advanced integration tool for Iconik. This tool leverages the prowess of Rev AI to transcribe vast content libraries seamlessly. Once transcribed, the content is dispatched to ChatGPT for sophisticated processing. In cases where transcriptions exceed character limits, my proprietary solution employs recursive technology, channeling the transcription through a recursive summarization funnel ensuring content integrity and precision. 💡 Throughout my career, I've been hands-on with a plethora of languages and tools, from Python and Java to TensorFlow and Keras. My technical mastery spans not just the development of algorithms but also the application of scikit-learn, pandas, and other machine learning libraries. These technical endeavors directly empowered iconic entities like the Orlando Magic, Mass Appeal, and the Minnesota Vikings to redefine how they manage and distribute media assets. 🤝 If you're seeking an AI virtuoso with a profound technical acumen, well-versed in marrying technology with media-centric challenges, let's collaborate to sculpt the future of media management.

(𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐝𝐮𝐫𝐢𝐧𝐠 𝐔𝐒, 𝐂𝐚𝐧𝐚𝐝𝐚, 𝐔𝐊, 𝐨𝐫 𝐩𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐭𝐢𝐦𝐞 𝐳𝐨𝐧𝐞𝐬 𝐟𝐨𝐫 𝐬𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧.) I have over 8 years of experience with Web & Mobile App Development, and Artificial Intelligence. My strength is my combination of skills - Project Management ➕ Web Dev ➕ Mobile Dev ➕ Artificial Intelligence. ✔️ Web applications - Django, Node.js, React.js, PostgreSQL, MongoDB ✔️ Mobile applications - Flutter, Java, Kotlin, Swift ✔️ Machine learning - Chatbots, Computer Vision, LLM 👉 Languages - Python, JavaScript, Dart, Java, C 👉 Backend - Node.js, Django, Flask, Falcon 👉 Frontend - React.js, jQuery, Bootstrap, HTML, JavaScript, CSS 👉 Mobile - Flutter, Dart, Java, Xcode, Android Studio 👉 Machine Learning - TensorFlow, PyTorch, Scikit, Pandas, Numpy 👉 NLP - OpenAI, ChastGPT, BERT, Pegasus, Word2vec, Spacy 👉 Computer Vision - Yolo, RCNN, OpenCV 👉 Cloud - AWS, GCP, Azure 👉 Database - Postgres, MySQL, MongoDB, Redis, etc I am flexible in terms of work timings and can start right away!