Hire the Best Artificial Intelligence Engineers

AI expert. PhD student in AI/ML. Anthropic certified. I build Claude native: agents, RAG, and automations that ship. 5 years in one domain. 30+ businesses delivered, I also create content on YouTube, Medium and X, because if you do not teach it, you do not really know it. Most "AI engineers" are 6 months in and Googling on your budget. I read the papers the week they drop and ship the patterns the month after. That is what you are paying for. What I build: - RAG chatbots and agents over your docs, PDFs, Notion, knowledge base - LLM fine-tuning on your domain data - Workflow automations replacing 40 to 80 percent of manual ops - Solution architecture before you commit to the wrong stack - Recovery work on stalled AI projects Stack: Claude, LangChain, Azure AI, Hugging Face, Pinecone, Weaviate, Neo4j Graph RAG, Python, Next.js. Response under 4 hours. Weekly Loom demos. Fixed scope after a free 20 minute call. 100 percent Job Success, Top Rated. Send the project. Same day reply with a plan, a question, or an honest pass.

Healthcare AI built by an engineer who knows buyers are right to filter out generalists. Medical imaging on DICOM, clinical NLP that handles negation and hedging, HIPAA-aware PHI pipelines, patient-facing apps that respect privacy for hospitals, radiology centres, pharma R&D, CROs, medical device makers, health-tech teams. I work with the Brainy Neurals team as the healthcare-AI engineer. My focus sits between "we have clinical data" and "validated AI helping clinicians" model design, PHI handling under your BAAs, on-prem vs cloud, validation against radiologist ground truth, shipping into EHR or device workflow. WHAT I BUILD / IN HEALTHCARE Medical imaging AI — DICOM ingestion, de-identification per Safe Harbor, organ and lesion segmentation on CT and MRI, abnormality detection, NIfTI and ITK pipelines, 3D Slicer. Built on MONAI, nnU-Net, TotalSegmentator, RadImageNet, validated against radiologist consensus. Clinical NLP and document AI note summarisation, ICD and SNOMED mapping, negation and hedging, family-vs-patient history disambiguation, medication extraction, lab-report parsing, prescription OCR. The grammar of clinical text is its own thing; I treat it accordingly. Pharma and clinical research clinical protocol to eCRF extraction (demographics, vitals, inclusion-exclusion, study-arm), systematic review using RoB2, GRADE, PRISMA, citation validation, batch record digitisation, evidence assembly. Patient-facing apps GI symptom-trackers with AI food and lifestyle recommendations, diabetic and gut-condition dish-suggestion, telehealth onboarding, chronic-care intake, mental-health support. Flutter or React Native fronts, FastAPI backends. Hospital workflow AI appointment automation, triage, hand-hygiene monitoring, fall-detection in wards (pose-based, no face recognition), bed-occupancy. THE STACK / FOR MEDICAL & PHARMA Imaging: MONAI, DICOM, NIfTI, ITK, 3D Slicer, nnU-Net, TotalSegmentator, RadImageNet, modality fusion. Clinical NLP and docs: Docling for medical PDFs, DocTR and TR-OCR for prescription and lab OCR, GPT-4o multimodal for complex layouts, Claude and Gemini for clinical reasoning, regex and Pydantic validation, NegEx-style negation with LLM verification. Knowledge: Neo4j for clinical knowledge graphs (drug-drug interaction, condition-symptom, contraindications). pgvector or Qdrant for medical literature. RAG over institutional protocols, authoritative sources only. Infrastructure: FHIR and HL7 v2 with EHRs, OMOP CDM for research, FastAPI for clinical APIs, Flutter and React Native for patient apps, AWS and Azure inside client BAAs, on-prem Ollama and vLLM where data cannot leave. WHO I BUILD FOR Hospitals and clinics radiology AI, patient-flow analytics, EHR decision support, ward-safety. Radiology centres, DICOM pipelines, organ and lesion segmentation, second-read AI, reporting integration. Pharma R&D and CROs clinical protocol extraction, systematic review, eCRF generation, evidence assembly. Medical device (pre-clearance) model prototyping, validation harnesses, dataset curation. I do not claim FDA-cleared deliverables; I build the substrate that goes through your regulatory team. Telehealth and health-tech patient intake, AI triage, multilingual symptom-checker. Specialty practices dental, dermatology, gastroenterology, oncology, mental health. Specialty-tuned models on small datasets. Health insurance claim review, prior-auth triage, appeals support, evidence extraction. HOW I WORK / WITH HEALTHCARE BUYERS Discovery is a 30-minute call: data sources, clinical workflow, compliance posture (HIPAA, GDPR, local). By the end I tell you whether the use case is feasible, validation plan, where ground truth comes from, how PHI flows. If it touches a regulated device pathway, I tell you what is in scope for me and what your regulatory team owns. Pricing is fixed-scope per milestone feasibility, dataset and PHI design, model build, validation, integration handoff. Hourly only for maintenance after deploy. THE BRAINY NEURALS BACKING I work with the Brainy Neurals team 15 AI engineers, NVIDIA Inception Partner, AWS Activate, Microsoft for Startups. When a project needs ward-monitoring cameras, edge deployment on hospital hardware, RAG over clinical docs, or workflow automation around the AI, that capacity sits with the team I bring them in cleanly, you do not manage multiple vendors. For pure healthcare model and clinical-NLP work I lead end to end myself. LET'S TALK / IF You are inside healthcare or pharma, you have a clinical workflow AI can genuinely help with, you understand the validation and compliance work this requires, and you want a senior engineer who has built medical imaging, clinical NLP, and patient-facing apps before not a generalist learning HIPAA on your project. Tell me your data, workflow, compliance. I reply within 24 hours with feasibility, validation approach, milestones.

🚀 Top 1%, Expert-Vetted, AI Engineer 🚀 𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐮𝐭 𝐜𝐨𝐬𝐭𝐬, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐚𝐧𝐝 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐑𝐎𝐈. I have helped startups and enterprises across healthcare, fintech, ecommerce, and SaaS ship intelligent AI products that scale from day one. I handle everything end to end, from idea to deployed production-grade AI. Have a great idea but 𝒏𝒐𝒕 𝒔𝒖𝒓𝒆 𝒘𝒉𝒆𝒓𝒆 𝒕𝒐 𝒔𝒕𝒂𝒓𝒕? Send me a DM and we will arrange a 𝟒𝟎-𝐦𝐢𝐧 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 📞. ★ 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 → 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: Autonomous multi-agent systems using LangGraph, CrewAI, AutoGen, and MCP that plan, reason, and execute across APIs, CRMs, and SaaS tools without human intervention. → 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Production RAG pipelines with hybrid search, contextual memory and hallucination mitigation using LlamaIndex, LangChain, Pinecone, Qdrant, Weaviate, and pgvector. → 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: Custom AI chatbots and inbound/outbound voice agents for customer support, lead qualification and appointment booking via web, WhatsApp, and phone using GPT-4o, Claude, Whisper, VAPI, and Retell AI. → 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Domain-specific fine-tuning using LoRA, QLoRA, RLHF and DPO on OpenAI, Claude, Mistral, LLaMA 3, and DeepSeek for production-ready specialized model behavior. → 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: AI integration into your CRMs, ERPs and databases via n8n, Make, and Zapier with OCR pipelines, web scraping, ETL automation and event-driven API orchestration. → 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐀𝐈: Object detection (YOLOv8), image classification, facial analytics and intelligent OCR for structured data extraction from PDFs and scanned documents. → 𝐌𝐋𝐎𝐩𝐬, 𝐂𝐥𝐨𝐮𝐝 & 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Scalable model deployment on AWS Bedrock, GCP Vertex AI and Azure with Docker, Kubernetes, CI/CD, LangSmith observability and token cost optimization. ★ 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 ✔ 𝐀𝐈 𝐂𝐚𝐥𝐥 𝐒𝐜𝐨𝐫𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦: 90% faster evaluations, $140K+ saved in year one, 3x agent performance visibility across 10K+ calls/month. ✔ 𝐃𝐨𝐜-𝐀𝐈 𝐎𝐂𝐑 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: 94% less manual data entry, $110K saved/yr, 50K+ documents processed/month at 99% accuracy. ✔ 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐑𝐞𝐜𝐨𝐫𝐝 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 (𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐞𝐝 𝐋𝐋𝐌): 98% less processing time, $160K saved/yr, zero compliance errors in production. ✔ 𝐋𝐢𝐜𝐞𝐧𝐬𝐞 𝐏𝐥𝐚𝐭𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 (𝐘𝐎𝐋𝐎𝐯𝟖): 96% fewer manual checks, $85K saved/yr, real-time detection at 60fps. ✔ 𝐑𝐀𝐆 𝐑𝐞𝐩𝐨𝐫𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦: 98% faster prep, $200K saved/yr, zero hallucination rate across 5K+ reports. ✔ 𝐔𝐆𝐂 𝐕𝐢𝐝𝐞𝐨 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 (𝐧𝟖𝐧 + 𝐆𝐞𝐧𝐀𝐈): 90% production time cut, $120K saved/yr, 500+ videos/month fully automated. ✔ 𝐒𝐭𝐚𝐛𝐥𝐞 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 𝐋𝐨𝐑𝐀 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠: 95% lower compute cost, $90K saved per model cycle, brand-consistent image generation at scale. ★ 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 ✔ 𝐅𝐢𝐧𝐥𝐚𝐧𝐝, 𝐄𝐔 𝐁𝐚𝐬𝐞𝐝: EU timezone, GDPR-compliant development, and European enterprise communication standards with zero barriers. ✔ 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞𝐝 𝐓𝐞𝐚𝐦: I work alongside a dedicated team of AI engineers, ML specialists, and full-stack developers giving you agency-level capacity with direct senior ownership on every project. ✔ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐅𝐢𝐫𝐬𝐭: I build AI that handles real traffic, edge cases, and failures gracefully, not demos that break under pressure. ✔ 𝐑𝐎𝐈-𝐃𝐫𝐢𝐯𝐞𝐧: Feasibility, scalability, and cost impact assessed before a single line of code is written. ✔ 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞: Honest timelines, clear progress updates, and full post-launch support every time. 𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝: Send me your project and I will give you a straight, honest assessment of what is feasible, what it will take, and how to build it the right way.

🤖𝐈𝐟 𝐦𝐲 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐝𝐨𝐞𝐬𝐧’𝐭 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐲𝐨𝐮𝐫 𝐚𝐠𝐫𝐞𝐞𝐝 𝐦𝐞𝐭𝐫𝐢𝐜𝐬, 𝐲𝐨𝐮 𝐝𝐞𝐬𝐞𝐫𝐯𝐞 𝟏𝟎𝟎% 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐦𝐨𝐧𝐞𝐲 𝐛𝐚𝐜𝐤. Most businesses hire AI developers to build what they ask for. That's the problem. I don't just build what clients request - I figure out what they actually need first. Usually what they think they need isn't the highest-ROI opportunity. AI-powered solutions delivering production-ready systems measurable ROI and high-impact results - not just prototypes. Work spans finance, healthcare, e-commerce, construction, academia and web platforms, often unlocking $100K–$300K in annual savings 𝐍𝐄𝐗𝐓 𝐒𝐓𝐄𝐏𝐒:- Send me a message with your project problem, budget & timeline. I’ll reply within 24 hours to confirm if I’m the right fit. What Is Built / How Problems Are Solved with AI: ▶️ Multi-Agent AI Systems (LangGraph, LangChain) ▶️ Custom RAG Pipelines (OpenSearch, Pinecone, Supabase) ▶️ Voice AI (VAPI, ElevenLabs, LiveKit) ▶️ Sales & Support Automation (chat + voice) ▶️ Process Automation (n8n, Make, Zapier) ▶️ Full-Stack Development (Node.js, Python, React, Next.js, React Native) ▶️ Dashboards, forecasting models, ETL pipelines ▶️ Chatbots for WhatsApp, Telegram, SMS (via Twilio) My Portfolio Includes: ✔️ Generative AI development: GPT-4o, Claude, Mistral, Llama, Hugging Face, LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, Qdrant, Stable Diffusion, Flux 1.1, Ideogram, Lora, n8n, Agentic AI, CrewAI, BabyAGI, AutGen, DeepSeek, Prompt Engineering ✔️ Cost & performance optimization of AI applications ✔️ Time series forecasting models ✔️ ETL & data automation (Airtable, Webflow, Make) ✔️ AI Web development (Django, Flask, Dash with ML models) ✔️ Payment Gateway Integration ✔️ Dashboard development (Plotly Dash, PowerBI, Excel, Looker) ✔️ Data Analytics & Reporting ✔️ Translating business problems to technical teams ✔️ Geospatial Mapping ✔️ Chatbot integration (WhatsApp, Telegram, SMS via Twilio) ✔️ API development & integration ✔️ Research Publications Tech Stack/ Expertise: ⏺️ Python Libraries: Scikit Learn, Pandas, Numpy, Plotly, Tensorflow, Facebook Prophet, Spacy, NLTK, GeoPandas, OpenAi, LangChain, HuggingFace, Matplotlib, Seaborn ⏺️ Web Development: Dash, Django, Flask, FastAPI, Docker, MySQL, MS SQL, Pinecone, HTML5, CSS3, JavaScript ⏺️ MS Office: Excel (Advanced), PowerPoint (Advanced), Word (Advanced), Project ⏺️ Data Visualization / BI: Power BI, Looker, Tableau ⏺️ Front-end Tools: HTML5, CSS3, JavaScript ⏺️ Big Data Tools: PySpark, Hadoop ⏺️ Web-Scraping: Beautiful Soup, Scrapy, Selenium, Playwright ⏺️ Version Control: Git ⏺️ ERP Tools: SAP, Hysabat ⏺️ Cloud Technology: GCP, AWS, Azure, Digital Ocean Why Clients Hire: ⭐ Guidance on what NOT to build (most consultants won’t do this) ⭐ 5.0 rating ⭐ Production systems with metrics, logs, and clean handoffs ⭐ Coordinate senior engineers across ML, data, and cloud ⭐ Clear communication and global availability Let’s build AI solutions that actually work. #AIAgentDevelopment #DataAnalysis #DataEngineering #CloudComputing #PredictiveModeling #MLOps #ImageProcessing #AIChatbot #Python #OpenAIAPI #VectorDatabase #ArtificialIntelligence #RAG #LangChain #Pinecone #MultimodalAI #ProductionDeployment #Deep Learning #Artificial Neural Network #Chatbot Development #Computer Vision #Natural Language Processing #Machine Learning #Artificial Intelligence Ethics #Artificial Intelligence #Chatbot #Machine Learning #Deep Neural Network #Data Visualization #Data Analysis #Information Analysis #Data Science #Data Cleaning #Prompt Engineering #Generative AI #Large Language Model #Granite

I primarily work on four types of projects: 1) Crafting your AI Strategy Expand your business vision with the latest tools and frameworks. Teach me about your industry, and I'll steer your AI journey from discovery through deployment—identifying opportunities, crafting your roadmap, and shaping a data-driven strategy that delivers measurable impact. 2) Automation and Intelligent Workflows Transform time-sensitive, repetitive tasks into streamlined, AI-powered workflows—from lead validation and customer onboarding to compiling accurate, visually compelling reports and advanced analytics. I help boost efficiency, reduce manual effort, and scale your operations. 3) Conversational bots and Multi-Agent Systems Engage users and help employees with text and audio based conversations. Whether for customer service, data scientists on top of internal DBs and training material, or compliance-based communication, our solutions act autonomously and collaborate seamlessly to get things done. 4) AI-Assisted Full Stack Development Our team is trained to use AI judiciously during every stage of development. Vibe coding can go horribly wrong when in the hands of the uninitiated, but when you combine tools like Cursor with our engineering expertise, you get reliable new products and services faster than has ever been possible. My portfolio has more examples, but in short, if you're looking to build specialized agents to perform enterprise-ready tasks, you'd be hard-pressed to find a more qualified developer anywhere on Upwork. I'll be applying as an organization - krazimo (krazimo.com), so you'll get two world-class engineers (Mridul and I) working on your project, as well as a number of junior engineers to perform the smaller engineering tasks. You'll have full transparency into who's doing what, and our junior engineers work for approximately 2/3 our hourly rate. Here's a little about my 11 years of experience. Google (2019-2025) I spent six years as a senior software engineer at Google. My two major projects currently were Admin AI Assistant: I'm worked as an LLM specialist on building a RAG solution to improve Google's customer service in our workspace Admin Console. Gemini Reporting: Led a team of 10 people in building a large scale pipeline that can handle high QPS events on Gemini usage and report on value and RoI for our Gemini Product in Google Workspace. Apart from these, I have designed, implemented and shipped many technically complex products at Google. They often involved coordinating efforts among large teams and always required me to adhere to the highest engineering standards. I hope I can bring this expertise to your company. NLP Engineer (2016-2019) Cofounded, Headed AI and built the prototype and MVP for Butter.ai, which raised $3M in seed funding and was eventually acquired by Box. Worked on sentiment analysis problems for psychiatric chat centers (analysis user messages to flag dangerous situations) Worked on text extraction and question answering problems for a company that helped health insurance providers answer complex questions related to a customer's coverage. Mobile Engineer (2013-2015) Worked on a number of apps for clients - including building the cleartax.in android application. Worked at IBM as a software engineer on a MDM product that involved core android development (very low level control of services and permissions). At the moment, this process is more about exploring the space and seeing what people are looking for in the world of AI, outside massive AI-centric companies like Google (my hourly rate is actually below my current salary, so you're getting a pretty great deal while I perform this exploration)!

Most developers talk about "sprints" that take weeks. I talk about "deliveries" that take days. I am a New York based software engineer and creative technologist. I have spent 9 years bridging the gap between complex logic and intuitive design. I don't just "write code" I build scalable market advantages. My clients call me the Amazon Prime of Development because I prioritize two things above all else "extreme speed and precision". I specialize in rapid prototyping. I will have a functional prototype of your vision ready in less than 72 hours. And full scale production ready deployment usually within 7 days. Why work with me? While most engineers get stuck in the "system" I think in "strategy". Whether it's a trading bot in Rust, a DeFi protocol on Solana, or an AI driven healthcare platform. I focus on the ROI of the build. I lead a collective of elite developers, allowing us to work in parallel to execute complex architectures (Web3, Robotics, IoT) faster than a traditional agency ever could. Core Skills: 1. Web3 & Blockchain - Solana, Ethereum, Rust, Go, Smart Contract Auditing. 2. Artificial Intelligence - Custom LLMs, n8n automation, NLP, Computer Vision. 3. Full Stack - React, Node.js, Python, AWS Infrastructure. 4. Specialized Industries - FinTech, HealthTech, IoT, Robotics. Lastly, I don’t just meet expectations, I break them. If you have a big idea and need it live by next week, let’s talk. Portfolio: amarifieldsvisions.com