Hire the Best Pandas Developers in Georgia

I am an AI/ML Engineer with 8 years of experience and PhD-trained Bioinformatics Scientist. I specializes in developing production-quality AI systems, ETL/Data Pipeline modeling, deep learning, NLP/LLM workflows, and digitally using AI for pathology. As an experienced hands-on builder of end-to-end AI systems for pharmaceutical research and development (R&D), cancer research, and computational pathology, I have developed AI systems that integrate raw data into production ML application systems from the data pipeline through to deployment, monitoring, and statistical analysis for non-technical stakeholders. I have expertise in both cutting-edge research in the area of machine learning, as well as extensive practical engineering experience with scalable and high reliability ML application systems in production. 📌 Recent Project Experience ✨ Developed ML pipeline to process heterogeneous structured and unstructured data • Pfizer DSDR – Drug Safety AI Pipeline: Built production ML/ETL workflows integrating structured + unstructured data, with API deployment, validation, monitoring, and alerts. ✨ Trained and deployed deep learning networks that can analyze large biomedical data sets • FNLCR – Multi-Modal Pathology Toolkit: Operationalized HALO H&E/mIF whole-slide analysis and million-cell/pixel-scale metadata curation. ✨ Deployed and monitored AI algorithms in production environments with API, monitoring, validation, and cross-functional collaboration • AbbVie Precision Medicine – WSI Modality Prediction: Trained MIL deep learning models with attention heatmaps and Flask API visualization. 💡 What I Can Help You With ✅ Production ML Systems • End-to-end ML pipeline design and implementation • Model training, evaluation, deployment, and monitoring • API-based ML inference systems • Model reliability, robustness testing, and performance tracking ✅ ETL & Data Engineering for AI • Automated ETL pipelines for structured and unstructured datasets • Data validation, error handling, metadata management, and QA workflows • Integration of SQL databases, CSV files, imaging data, and distributed repositories • Scalable data curation pipelines for ML-ready datasets ✅ Deep Learning & Computer Vision • PyTorch/Keras model development • Vision transformers, foundation models, CNNs, MIL models, segmentation models • Image classification, prediction, feature extraction, and attention visualization • Large-scale image analysis for gigapixel whole-slide images ✅ Digital Pathology & Biomedical AI • Whole-slide image analysis for H&E, IHC, and multiplex immunofluorescence • Weakly supervised multi-instance learning for histopathology • Spatial omics, single-cell analysis, graph-based modeling, and image-derived biomarkers • HALO-based image analysis workflows and algorithmic scoring exports ✅ NLP/LLM & AI Workflow Integration • LLM-powered data processing and knowledge extraction workflows • Biomedical text/data integration • AI-assisted research pipelines and automation • Foundation model evaluation and applied AI system development ⚙ Technical Expertise Languages: Python(Advanced), SQL(PostgreSQL, MS SQL Server), R, Go AI/ML/DL: PyTorch, Keras, Statistical ML, Computer vision, MIL, Transformers, DNN, CNN NLP/LLM: RAG, LangChain, LangGraph LlamaIndex, OpenAI API, Anthropic Claude, Hugging Face, AutoGPT, AgentGPT Data/ETL: CSV, Structured/unstructured data integration, Metadata pipelines, Pandas, Numpy, Data validation Frontend: React, Next.js, TypeScript, HTML5, CSS3, Tailwind CSS, Material-UI Backend: Node.js, Express.js, GraphQL Databases: MongoDB, MySQL, Redis, Firebase Deployment: Flask, REST APIs, Linux/Unix, Git, Production ML workflows E-Commerce: Shopify (Liquid, Apps, Plus), WordPress, WooCommerce, Elementor DevOps: AWS, Docker, CI/CD, Nginx, PM2 Automation: n8n, Make, Zapier, Temporal, Apache Airflow CRM/Marketing: HubSpot, GoHighLevel, Salesforce, ActiveCampaign Data Visualization: Power BI, Looker Studio, Matplotlib, Plotly Domains: Digital pathology, Big Data, Statistical testing, Spatial Omics, Biomedical AI, Pharmaceutical R&D, Cancer research 🤝 Why Work With Me? ✓ PhD-level AI/ML expertise with real-world production experience ✓ Strong ability to bridge research, engineering, and domain science ✓ Experienced in working with pharmaceutical, biomedical, and cross-functional teams ✓ Clean, scalable, well-documented code and reproducible workflows ✓ Strong communication and attention to detail for complex technical projects I am particularly suited to taking on clients who require more than a typical ML developer, specifically those involved with highly complex biomedical data, multi-dimensional imaging, production ML systems and AI workflows that are built from research through to deployment. If you need assistance with creating an effective AI pipeline, deploying an ML model, developing a CV system, or analyzing digital pathology data, I would be glad to work with you on your project.

"I partnered with Magdiel for over 5 years, focused on VBA work. He primarily provided complex VBA to compliment advanced formula Excel work to allow for increased flexibility in process. We were often presented with unique requirements and project tasks - extremely customized - and he would immediately research how to make it happen with a 100% success rate. Not only is he diligent and talented in his work, but he is one of the most patient people I've ever worked with. He's a real talent and a delight to work with." Client Review - Daniella C. I'm an Excel VBA and Python Anvil API web developer who's passionate about automating tedious tasks to save you time and energy. I specialize in creating custom solutions that streamline your workflow, whether you're managing data or performing repetitive tasks. With my expertise in Excel VBA and Python, I can help you automate your business processes, simplify your work, and improve your productivity. Let me help you take your business to the next level by automating the tasks that take up your precious time.

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

I am a senior full stack developer with experience across a wide range of industries and technologies. Strong project management skills as well, and exposure to DevOps on AWS and GCP. I graduated with an Economics degree from Cornell University in 2016. I also have an FAA license for remote piloting of drones. ● Over 5 years of commercial experience with React.js and Node.js using modern frameworks (Nest.js, Next.js, CRA, Koa.js, Express.js) and its ecosystem ● Used to working with Scrum and Kanban forms of Agile methodologies in both large and smaller teams ● Predominantly a hands-on engineer with strong system design and architecture experience ● Excellent skills across AWS and GCP (some exposure to Azure) ● API integration experience with Twilio, Contentful, Zoom, Google Calendar, OpenAI, Mapbox, Google Maps, SendGrid, Stripe, Authorize.net, PayPal, Auth0, Okta, Jira, SSO login, Oauth, OpenID Connect ● Keen machine learning and data science enthusiast, with intermediate Python (FastAPI, Flask) and database development skills (SQL-based and MongoDB engines) and some exposure to data processing libraries such as Pandas and R

Hello! I'm JayaSai (Jay), a dedicated and passionate Quantitative Developer currently pursuing my BS/MS in Computer Science focused on AI/ML and Quant Finance at the Georgia Institute of Technology (GT). I specialize in leveraging my strong mathematical and analytical skills to develop algorithmic trading strategies, with a focus on the US stock market and Forex markets. Skills: Quantitative Analysis: I possess a robust understanding of statistical analysis, financial modeling, and machine learning, which I utilize to create precise and predictive quantitative trading models. Algorithmic Trading: My expertise lies in developing and optimizing algorithmic trading strategies using QuantConnect and Python. I have hands-on experience in creating algorithms for both intraday trading and long-term investment strategies. Programming: Proficient in Python and familiar with associated libraries such as NumPy, pandas, and scikit-learn for data analysis and model development. My coding skills are honed through academic projects and practical applications in the financial sector. Market Knowledge: I have a deep understanding of the US Stock Market and Forex Markets, ensuring that my strategies are well-informed and adjusted to current market conditions. Experience: Throughout my time at Georgia Tech, I have worked on several projects that involve the application of quantitative techniques to real-world financial data: Developed a mean-reversion algorithm for Forex trading, yielding a simulated annual return of 15%. Created a momentum-based trading strategy for the S&P 500 index, achieving a Sharpe ratio of 1.8 in backtesting. Optimized existing trading algorithms to improve risk-adjusted returns while minimizing drawdowns. Traded the US Stock Market and Forex Markets for the past 6 years focusing on utilizing Options as leverage for Market Open trading. Why Hire Me? I bring a blend of academic rigor and practical know-how to tackle complex financial challenges. My work is driven by a constant pursuit of excellence and a passion for uncovering hidden patterns in data. Whether you're looking to develop a new trading strategy, optimize an existing one, or analyze financial data, I'm here to deliver quality results tailored to your needs. I will diligently work on your project and provide a lower cost of development than most other developers as my primary motivation to do this is meeting fellow traders as well as contributing to the trading community. I will provide insight from my trading experience while developing the strategy and testing it. Please reach out to me without worrying about cost and it can be discussed to a point where both parties are satisfied. Let's harness the power of quantitative analysis to realize your financial goals!

I’m an AI Engineer building production-grade AI agents, RAG systems, LLM applications, machine learning solutions, and computer vision systems. I build production software, not prompt wrappers or demo chatbots. With 8+ years of software engineering and AI experience and Top Rated on upwork, I work with a specialized team ranked among the Top 10 Machine Learning agencies. I build reliable AI systems for real users, data, traffic, and edge cases. AI Engineer | AI Agents | RAG | LLM My core AI engineering work includes: • Retrieval Augmented Generation (RAG) • AI agents, agentic workflows, and multi-agent systems • LLM orchestration, tool calling, and function calling • Structured outputs and schema-based responses • Prompt engineering and optimization • LLM evaluation and benchmarking • Hallucination reduction and grounded generation • Semantic search, vector search, and knowledge bases • Document intelligence • OpenAI, Anthropic Claude, and Google Gemini APIs • LangChain, LangGraph, and LlamaIndex I build AI agents that retrieve information, reason over context, call external tools, execute multi-step workflows, and return reliable results. Production AI needs strong retrieval, evaluation, error handling, observability, scalable APIs, and sound architecture. Machine Learning Engineer | Data Scientist I build machine learning systems for structured, numerical, and time-series data, including demand forecasting, anomaly detection, classification, regression, predictive modeling, biomedical signal analysis, structural health monitoring, feature engineering, and model evaluation. My ML stack includes Python, scikit-learn, pandas, NumPy, SciPy, TensorFlow, PyTorch, and Keras. I build measurable, reproducible models and combine ML with LLMs and AI agents. Computer Vision Engineer | VLM | Multimodal AI I build computer vision and multimodal AI systems: • Object detection and multi-object tracking • Pose estimation and image segmentation • Video analytics and visual inspection systems • Vision Language Model applications • Multimodal AI pipelines I use OpenCV, YOLO, PyTorch, TensorFlow, and VLMs to build systems that understand images and video as well as text. I combine vision, deep learning, LLMs, and agents into production systems that see, interpret, reason, and act. Python Developer | Backend Engineer | Full Stack AI Developer I build production APIs and backend systems using Python, FastAPI, PostgreSQL, Docker, Git, JavaScript, and REST APIs. I work with Pinecone, pgvector, and other vector databases, using LangChain, LangGraph, LlamaIndex, or custom Python architectures. I can own the complete AI product from model development and prompt engineering through backend APIs, databases, vector search, orchestration, integration, testing, and deployment. The goal is a scalable AI product that works in production. Production AI Engineering I build systems with reliable APIs, maintainable Python, logging, monitoring, automated testing, retrieval and LLM evaluation, structured outputs, error handling, fallbacks, context optimization, hallucination mitigation, vector search optimization, scalable services, and production deployment. I approach AI engineering as software engineering: the model is only one part of a reliable, scalable system. Specialized AI Team I work with a specialized team including a Computer Vision PhD, deep learning researchers, and mathematical optimization specialists, allowing us to handle larger AI, ML, computer vision, RAG, and agentic projects. We combine research-level AI expertise with practical software engineering and production architecture. Clients hire me for AI agents, RAG systems, LLM applications, machine learning, forecasting, predictive analytics, computer vision, VLM applications, Python backend development, AI automation, and complete AI products. Main Technology Stack AI/LLM: OpenAI API, Anthropic Claude, Google Gemini, RAG, AI Agents, Agentic AI, Prompt Engineering, Tool Calling, Structured Outputs, LLM Evaluation Frameworks: LangChain, LangGraph, LlamaIndex ML: Python, scikit-learn, pandas, NumPy, SciPy, TensorFlow, PyTorch, Keras Computer Vision: OpenCV, YOLO, Object Detection, Tracking, Segmentation, VLMs, Multimodal AI Backend: FastAPI, PostgreSQL, Pinecone, pgvector, REST APIs Engineering: Docker, Git, JavaScript, API Development, Production Deployment If you need an AI Engineer who understands LLMs, machine learning, computer vision, Python, backend engineering, and production architecture, I can help take your AI product from concept to production with the engineering discipline required to make it work reliably in the real world.