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Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. 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 100+ engagements across medical specialties including radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, and neurology. 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, omics data, and more. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets. 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. I developed the first machine learning model in the world to predict multiple abnormalities simultaneously from a CT scan. For a dermatology practice, I built the first CV model to predict Fitzpatrick skin type, pigmentation, redness, and wrinkle severity (mean accuracy 85%)—now a core model at Kesty AI. 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) like Claude, Gemini, ChatGPT, and Llama. I have leveraged Transformers and other NLP techniques for numerous applications, including customized chatbots, medical note generation, and structured information extraction. 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.

I’m a results-driven data professional with proven expertise in data annotation, labeling, and analytics, delivering clean, reliable, and actionable data for business intelligence and AI/ML systems. I support machine learning teams by providing high-quality, precisely labeled datasets across image, video, and text formats. From bounding boxes to polygon segmentation, I follow strict annotation protocols and perform QA and inter-annotator checks to ensure accuracy, consistency, and model-readiness. My industry experience spans renewable energy, autonomous vehicles, medical imaging, e-commerce, agriculture, facial recognition, and more. Alongside annotation, I bring strong data analytics capabilities, managing data cleaning, transformation, and visualization using Python, R, SQL, Excel, and Tableau. This ensures your datasets aren’t just labeled, they’re also structured, clean, and analysis-ready. WHAT I CAN DO FOR YOU Data Annotation & Labeling for AI/ML Projects • Image, video, and text annotation (object detection, OCR, classification) • Tools: CVAT, Labelbox, SuperAnnotate, VGG Image Annotator • Label types: bounding boxes, polygons, keypoints, segmentation, classification • Annotation QA, dataset organization, class mapping, inter-annotator agreement • Dataset prep for YOLO, COCO, TensorFlow, PyTorch, Detectron2 Data Analytics & Visualization • Data cleaning & preparation using Python, R, Excel • SQL querying & data extraction (MySQL, PostgreSQL, SQL Server) • Dashboards & reports using Tableau, Power BI, Google Sheets • Statistical analysis to uncover trends & drive insights Why Work With Me • Experience with large-scale, multi-format annotation projects • QA-verified, model-ready outputs for ML pipelines • Certified in data analytics with practical AI/ML knowledge • Communicative, deadline-focused, and detail-oriented • Passionate about turning raw data into impact-driven solutions Let’s collaborate to build clean, structured, and perfectly annotated datasets that take your models, and your business to the next level. Message me now to get started.

I have worked in machine learning, computer vision, audio processing, defense (signals intelligence), medical imaging (stereotactic radiosurgery, ultrasound), life sciences (biotech/pharma), medical robotics, and wireless communications. Involved in writing a significant amount of software, ranging from the desktop/workstation/cloud arena (Wintel, Linux, Mac OS X) to deeply embedded systems (TI DSPs, MCUs, ARM) and in between! My 1st book, "Embedded Image Processing on the TMS320C6000 DSP (Examples in Code Composer Studio and MATLAB)," was published way back in April, 2005. I am a co-inventor or inventor on 15+ issued patents. I have published numerous articles in various trade magazines, and consulted for numerous companies both big (Meta, Google, TI, AMD, Sony) and small (many startups & medium sized firms).

🚀"Precision in data annotation drives accuracy in machine learning. Let me bring clarity and detail to your datasets."🚀 Top-Rated AI Data Annotation Specialist with over 3 years of experience delivering high-quality labeled datasets for machine learning and computer vision projects. I support AI teams with accurate image, video, audio, and text annotation, as well as quality assurance workflows that improve dataset consistency and model readiness. My expertise spans various domains, including annotating images of cars, solar panels, structures, roofs, signposts, surgical procedures and more. I've also worked on annotating audio clips, music, sound, and videos featuring moving vehicles, people and buildings. 💦Services: ▶️Image Annotation: Bounding boxes, polygons, pixel-wise segmentation, and line tools. ▶️Text Annotation: Reviews, product classification, categorization of articles, claims, tweets, URLs, fashion items, and more. ▶️Video Annotation: Tracking and tagging objects like moving cars, bikes, and buildings. ▶️Audio Annotation: Labeling and segmentation of music, sound clips, and other audio data. 💦Tools I Work With: ▶️Labelbox ▶️LabelImg ▶️SuperAnnotate ▶️Doccano ▶️CrowdAI ▶️CVAT ▶️Microsoft Excel ▶️Google Sheets ▶️Custom client software (NDA protected) I deliver annotated data in various formats, including YOLO, Pascal VOC, JSON, etc., ensuring compatibility with your specific needs. 💦Work Process: ▶️I work closely with clients to understand their annotation guidelines and expectations. ▶️I maintain open communication, asking questions when necessary to ensure clarity and precision. ▶️Projects are completed only when the client reviews and certifies all tasks. I am known for delivering consistent, detail-oriented annotation work, maintaining labeling accuracy across large datasets, and adapting quickly to project guidelines to support scalable AI workflows. If you're looking for a reliable annotation specialist who delivers quality work at scale, I’d be glad to support your project. Click on the 'invite' button to discuss your project. Regards, Elizabeth

𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 AI Engineer with 10+ years of hands-on experience in architecting and building production-grade AI systems including 6 years at Microsoft and GE Healthcare, where I designed and deployed compliant AI systems in enterprise environments, healthcare, and legal. I specialize in transforming complex real-world problems into clean, reliable, and deployable AI systems from model design and optimization to cloud deployment and integration. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐎: I architect and build compliant AI systems for regulated industries where accuracy, auditability, and data controls matter as much as model performance. ▸ 𝐋𝐋𝐌 & 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Production AI systems with hybrid retrieval, structured grounding, hallucination mitigation, semantic caching, evaluation pipelines, monitoring, and reliability controls. ▸ 𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Agentic and multi-agent workflows for voice AI, productivity AI, AI accessibility using LangGraph, LangChain, MCP-style orchestration, guardrails, fallback logic, and session-aware memory. ▸ 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Production ML pipelines for ranking, classification, OCR / extraction, multimodal workflows, prediction, and model deployment designed for measurable outcomes and maintainable architecture. ▸ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 Computer vision and multimodal systems for OCR, document processing, form extraction, image classification, object detection, and image-to-structured-data pipelines. ▸𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 & 𝐀𝐈 𝐒𝐚𝐚𝐒 Scalable AI platforms and SaaS products with secure APIs, orchestration layers, cloud-native deployment, multi-tenant architecture, RBAC, and product-ready backend systems. ▸ 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐞𝐝 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Compliance-aware AI systems for healthcare, legal, and fintech, including HIPAA, PHI, PII, auditability, deterministic workflows, and risk-controlled deployment patterns. ▸ 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐧𝐭𝐨 𝐄𝐱𝐢𝐬𝐭𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 LLM, RAG, ML, and computer vision integrated into enterprise workflows, internal tools, legal document systems, healthcare platforms, accessibility-focused products, and SaaS applications through APIs and event-driven architecture. ◆ 𝐅𝐥𝐚𝐠𝐬𝐡𝐢𝐩 𝐰𝐨𝐫𝐤 ▸ 𝐒𝐦𝐚𝐫𝐭𝐂𝐢𝐭𝐞 - 𝐋𝐞𝐠𝐚𝐥 𝐀𝐈 / 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 Built an AI-powered legal document and citation platform designed to extract citations, organize references, and improve legal research workflows. Business result: Reduced manual citation review overhead to 80% and improved the speed to 60%. ▸ 𝐌𝐌𝐇𝐏 - 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐞𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 Built an AI-powered mental health platform with structured assessments, dashboards, and privacy-sensitive conversational experiences. Business result: Improved support continuity and reduced friction across mental health engagement workflows. ▸ 𝐀𝐈 𝐃𝐨𝐜 𝐌𝐚𝐤𝐞𝐫 - 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built an AI document-generation system for creating structured documents, presentations, spreadsheets, and multimedia content. Business result: Reduced manual drafting effort, accelerated content workflows, and improved output consistency. ◆ 𝐂𝐨𝐫𝐞 𝐯𝐚𝐥𝐮𝐞 𝐈 𝐛𝐫𝐢𝐧𝐠 ✓ Enterprise level AI systems delivered (Microsoft, Bayer, GE Healthcare) ✓ Production AI architecture that holds up under real usage, not just demos ✓ AI systems designed and built with compliance and risk boundaries in mind ✓ Hallucination risk reduced at the system-design level ✓ Agent workflows built for reliability, not experimentation ✓ Machine learning systems that are deployable, monitorable, and aligned with product goals ◆ 𝐓𝐄𝐂𝐇𝐍𝐈𝐂𝐀𝐋 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄 LLM / Agents: OpenAI · Anthropic (Claude) · LangChain · LangGraph · LlamaIndex · Hugging Face · MCP · AutoGen · Multi-agent orchestration · tool-use agents · human-in-the-loop · evaluation pipelines · hallucination measurement Retrieval / RAG: Pinecone · Weaviate · hybrid SQL + vector search · Semantic retrieval · context quality scoring · RAG evaluation harnesses calibrated per-domain ML / Vision (Healthcare-specific): PyTorch · TensorFlow · OpenCV · OCR · DICOM · multimodal pipelines · Clinical-grade model evaluation standards Backend / APIs: Python · FastAPI · Node.js · REST APIs · Event-driven systems · microservices · FHIR-compatible API design Infrastructure: AWS · Azure · GCP · Docker · Kubernetes · CI/CD · MLOps · evaluation pipelines · audit-logging infrastructure · HIPAA-compliant data residency configurations I'd love to help in building your AI products from ground up or fixing your underperforming systems/models. Need an AI architect/engineer to own production delivery end to end? Send me a message!

I'm an AI integration engineer passionate about ultra-fast AI prototype iteration and problem-solving. I specialize in integrating AI models and automating solutions for internal tools and customer-facing products with: • LLMs (OpenAI GPT, Google Gemini, Meta LLama, Anthropic Claude, Grok) • Computer vision models (GPT-vision, LLava, Gemini) • Image generation/manipulation models (Stable Diffusion, Midjourney, Flux) • Text-to-voice models (Elevenlabs, OpenAI Realtime API) • Voice-to-text models (Deepgram, OpenAI Whisper) • Agents (Computer use, task flows, data scraping (LinkedIn, X, Facebook, etc.)) • Fine-tuning LLM models such as Gemini and GPT I specialize in secure, self-hosted AI: • Hosting AI models (LLM, STT, TTS, computer vision) through cloud GPU services like Modal and Basten • Optimizing models for scale (1000+ concurrent users) • Optimizing models for cost efficiency (up to 6x lower costs than large providers like Google) I have prototyped 200+ systems that command and fine-tune these models in various capacities to achieve modern business goals in the most cost-effective and accurate manner possible, including: • Big data RAG (Retrieval Augmented Generation) systems • Live audio chat models for customer service, education, and more • Process automation with agentic flows • Multimodal data cleaning/processing/wrangling • Legal document processors/generators • Custom GPTs/chatbots • Bulk image manipulators / computer vision analyzers Full-stack capabilities: • Stripe Integration • Auth0 Integration • React front end design • Database design and deployment ------------------ My Experience ------------------ 2025-2025 -Founder of Fennec ASR I built the lowest cost speech-to-text model on the market (just $0.06 per hour). I have exposed access to it via a simple API. It has been used for bulk transcription, voice AI agents, and more 2024-2025 - Full-Time AI Consultant I build and consult for companies of all industries. I have shipped dozens of AI features and full platforms. 2023-2024 - Co-Founder of Elevora: We built a fully automated job interviewing package that assessed resumes and conducted verbal interviews with candidates to instantly screen high applicant-volume positions. 2019-2023 - Freelance Python Developer + 3D modeling ---------------- My Credibility ---------------- I encourage you to review some of my sample projects in my portfolio below. You can also check out my numerous articles on AI and prompt engineering that I share with my 16k+ followers on Medium (found in my portfolio). ---------------- I look forward to working with you!