Hire the Best MRI Software Specialists
in the United States

I am a MLS(ASCP)-certified Medical Laboratory Scientist with 14+ years of experience as a bench technologist and LIS analyst. I now do digital transformations for laboratories, healthcare teams, and other life science organizations. I work by performing step by step analyses of an organization's processes, then designing and building software and other tools to automate them. I also accept projects from other domains such as engineering, finance, and drones. Here are a few examples of the type of work do: • LIMS/LIS workflows and companion applications for orders, accessioning, specimens, QC, results, exceptions, inventory, and operational dashboards. • Instrument and data integrations using Python, FastAPI, SQL, REST/OpenAPI, CSV/JSON, FHIR R4, and HL7-style workflows, including mapping, validation, duplicate prevention, quarantine, replay, and reconciliation. • Workflow automation using Power Apps, Dataverse, Power Automate, Mendix, C#, Flutter, Dart, and Python. All these can be integrated with AI, bioinformatics, and quantum computing backends hosted on cloud platforms such as Azure, KNIME, n8n, IBM, Siemens, and Pasqal. I strategize to minimize subscription costs or even use free alternatives for budget conscious clients. • Implementation support covering discovery, requirements, data models, test strategy, UAT, risk/FMEA, training, administrator guides, and operations runbooks. I also specialize in developing multilingual and GDPR compliant solutions on EU sovereign tech stacks. I can build using traditional coding or low-code platforms such as Power Apps or Mendix. I am comfortable signing NDAs and working on high stakes and frontier systems. Contact me if I sound like a fit!

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.

Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. Prior to becoming a consultant I spent 7 years as the Founder and CEO of an AI startup. Today, I build custom AI systems with proprietary and public data, including creation of novel datasets and state-of-the-art models. * After a 30-minute to 1-hour initial meeting, I'll craft a clearly written report outlining a unique AI strategy for your project. * For long-term engagements, I implement AI solutions end-to-end, including data collection, data cleaning, novel model design, model implementation and training in Python, and iteration on the modeling and data strategy to achieve excellent performance. * One of my specialties is creating custom models for proprietary datasets, including images, videos, audio recordings, and domain-specific data. Book a 30-minute consultation with me to get immediate answers about your AI project: - How can you leverage AI in your organization? - What kind of AI do you need to solve a particular problem? - Should you use a model like ChatGPT/Claude or do you need a custom model? - What modeling strategy should you use? - How should you collect and annotate data? - How much data will you need? - How should you measure performance? After a consultation I’ll craft a clearly-written report outlining an AI strategy for your project. Specialties: Healthcare AI: I am an expert in healthcare AI, with a unique background that blends clinical understanding from my MD, deep technical expertise from my AI PhD, and business experience. I have completed AI engagements across radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, neurology, and more. I have created datasets and custom models for diverse forms of biomedical data including x-rays, CTs, MRIs, clinical photographs, patient videos, medical audio, medical notes, EHR data, insurance claims, and omics data. I understand clinical workflows and the unique stakeholder landscape of healthcare, which informs my technical work and business advising in this space. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets, when you need to exceed the performance of off-the-shelf AI. I am excited about projects from multiple industries including healthcare, manufacturing, automotive, and agriculture. I have extensive experience with classification, object detection, segmentation, and keypoint detection, to identify and localize abnormalities or features of interest. Artificial Intelligence R&D: I have led multiple AI research projects across industry and academia. I have developed novel AI methods, including HiResCAM, a convolutional neural network explanation method with mathematical guarantees. I have published original research across multiple areas of AI, including computer vision, natural language processing, explainable AI, expert systems, and applied AI. My research papers have been cited over 1,000 times. My healthcare AI blog Glass Box has over 700,000 readers from 185 countries. Natural Language Processing (NLP): I have a deep understanding of large language models (LLMs) and have completed AI projects leveraging Claude, Gemini, ChatGPT, and Llama. I’ve built customized chatbots, medical note generation, and structured information extraction. I can customize LLMs to your company’s needs through prompt engineering, RAG, or fine-tuning. Advising Entrepreneurs: Before focusing on AI consulting, I spent seven years as the founder of a health AI startup. I led my previous company from concept to deployed B2B SaaS product serving medical practices. Our AI history-taking assistant and AI scribe saved clinicians 2+ hours daily. I managed engineering teams of 5-10 (60+ contributors), secured two U.S. patents, and raised competitive grant funding. I enjoy working with entrepreneurs and discussing pitch decks, fundraising, customer discovery, designing an MVP, and evaluating the ROI of an AI product. If you’d like to talk with me about your AI project, please feel free to send me a message or book a consultation using the link on my profile.

Core Competencies & Skills • RAG Architecture: Applying context-aware orchestration and dynamic model selection, leveraging vector embeddings, fine-tuned LLMs, and advanced reasoning and inferencing pipelines to ensure agents adapt intelligently to real-world enterprise conditions. • Agentic AI Orchestration: Expertise in leading technology strategy, advising on go-to-market priorities, and leveraging frameworks like LangChain, N8N, AutoGen and CrewAI. • Data & ML Infrastructure: Skilled in implementing FHIR-enabled data pipelines to normalize clinical data, generate vector embeddings, and utilize infrastructure tools such as Pinecone, Weaviate, and Snowflake. • Technical Stack: Proficient in designing and implementing purpose-built AI agents using Python, knowledge graph approaches, deep learning frameworks including PyTorch and TensorFlow, and optimizing NVIDIA AI solutions with GPU-accelerated frameworks. • Healthcare Interoperability: Applying healthcare interoperability and clinical workflow expertise using HL7 and FHIR, aligning solutions with regulatory and compliance requirements. Value-Added Results My work has enabled earlier, more proactive interventions and streamlined operations across various domains: • Patient Safety & Clinical Risk: Developed a real-time surveillance and reasoning agent to detect medication issues and adverse event patterns, resulting in reduced preventable safety events and empowered clinicians. • Population Health: Architected a multi-agent framework that facilitated more effective identification of at-risk populations and scalable outreach through automated SDOH enrichment and panel-level alerts. • Clinical Decision Support: Developed an agentic decision support system integrated with EMRs to retrieve clinical protocols, analyze patient data, and generate trial-specific documentation. • Improved Detection Accuracy: Created a computer vision and LLM-based hybrid agent for diabetic retinopathy screening, improving detection accuracy and reducing bottlenecks in ophthalmic screening. Why Partner With Me My proven success delivering high-impact agentic AI applications is grounded in a strong balance of architecture, engineering, and AI strategy, particularly in complex and regulated systems. I am committed to reliability, security, and practical outcomes, ensuring rapid MVPs while designing for long-term scale. Ready to transform your enterprise operations with reliable, high-impact AI? Let's discuss how my expertise in agentic AI can deliver measurable results for your business.

SERVICES OFFERED TO CLIENTS: • Coding projects in MATLAB, Simulink, and other languages • Machine learning and deep learning • Consulting on medical device technologies • Laboratory guidance • Inventing and building new technologies • Refining and revising existing technologies • Spaceflight hardware manufacturing • Intellectual Property, Patent Landscaping, and Defeating Patent Trolls • Writing Grant Proposals and Executing on Proposals MY TECHNICAL SKILLS OVERVIEW: I have extensive hands-on expertise in five broad areas: 1) MATLAB Programming, Coding, and Simulations, 2) Measurements with Sensors, 3) Skills for Transitioning Products from Labs-to-Manufacturing, 4) Intellectual Property and Inventing as a Service, and 5) Success in Business, Soft Skills, Executive Management, and Project Management. PROFESSIONAL OVERVIEW: I am a MATLAB coder, technologist, and professional applied scientist. I am driven to satisfy my clients' goals. I have been granted more than 40 patents in sensors, signal processing, and data-handling algorithms. Some of those inventions have been successfully commercialized within the oil industry. My career includes several years of successful engagements as a client-facing consultant for various industries. My former clients and employers have included NASA, U.S. Department of Defense, U.S. Department of Energy, NV Energy, British Petroleum, Halliburton Energy Services, ExxonMobil, BNSF Railways, Queensland Gas Company, Cardinal Health, Accenture, Methodist Hospital, and other organizations. MY EDUCATIONAL BACKGROUND: • Doctoral degree in physics from Rice University. GPA: 3.8/4.0. • Master’s degree in physics from Rice University. GPA: 3.8/4.0. • Bachelor’s degree in physics from Georgia Tech. GPA: 3.8/4.0. Minor in Economics. MY TEACHING EXPERIENCES. Taught 5 semesters of University freshman physics laboratories. Tutored a U.S. military veteran one-on-one for 2 years. DETAILS OF TECHNICAL SKILLS: 1) Programming, Coding, and Simulations - MATLAB, Simulink, C, Fortran, Python, Assembly, COMSOL, Java, Machine Learning, AI, Deep Learning, Audio and Video Processing, Digital Signal Processing, DSP, Digital Forensics, Image processing, Computer vision, Video enhancements, and Monte Carlo Simulations. 2) Sensors, Radar, Sonar, Lidar, Photonics, Fiber optic, Acoustics, Hydraulics, Nuclear, Fission, Fusion, Thermonuclear Fusion, Nuclear Energy, Radioactive waste, Lasers (free-space, fiber, gas, ion, dye, solid-state), RF and Microwave (VHF to Ku), Spread Spectrum, Communications & Telemetry, Microcontrollers, and Magnetometry, Antenna design, Data Acquisition Hardware & Software, Digital and Analog Circuitry, Spectrum Analyzers, Design of experiments 3) Design, Construction/Build of Scientific Equipment, Hardware Manufacturing, Machine Shop Skills (Using Mills and Lathes), Soldering, Brazing, Plumbing, Vacuum systems 4) Teaching at University level, Private volunteer tutoring of U.S. veteran soldiers, Completed 1-year of MBA coursework at Rice University, Project Management Institute training courses, 4-years experience as a client-facing Management Consulting, Numerous Awards from NASA and other organizations for teamwork & leading teams, Inventing, Success with the TRL process from Product Development, Intellectual property, soft skills, Legal, Organizational psychology, Communications, Conflict resolution, Seed funding, and Sales

I'm a board-certified cardiologist with a computer science background who bridges the gap between clinical medicine and healthcare technology. I specialize in developing and implementing machine learning solutions for healthcare challenges, particularly in risk prediction and clinical decision support. My technical expertise includes: - Development of clinical prediction models using machine learning (Python, R) - Healthcare API development (FastAPI, Flask) - Database architecture for clinical data (SQL) - Cloud deployment (AWS, Azure, Heroku) - Epic Systems EHR integration and optimization (Certified in Inpatient, Cogito, Caboodle, Cloud Computing) I've published 70+ peer-reviewed articles and developed several clinical risk models now used in healthcare systems. Notable achievements include the WATCH-DM risk score for predicting heart failure in diabetic patients and machine learning models for identifying low diuretic efficiency in heart failure. I help healthcare technology companies: - Design clinically relevant and technically feasible healthcare products - Develop and validate clinical algorithms and prediction models - Optimize clinical workflows and EHR integration - Navigate the regulatory and implementation challenges unique to healthcare My dual expertise allows me to translate between clinical needs and technical solutions, ensuring healthcare technology products deliver real clinical value while maintaining technical excellence. I joined Upwork in order to help people/students join the medical field, grow and improve research or business ideas, and to be exposed to additional medical technology ideas that motivate me. Depending on the scope and duration of a project, my engagements and rates change.