Agentic AI Developer for Autonomous Healthcare

@pkundu25

I am an experienced AI developer. Your job caught my eye and looks to be quite interesting to me as I developed Document segmentation, Text2SQL, Risk Mitigation using AI Agent/Agentic AI in recent past. I am well conversant with Generative AI and hands-on experience in developing AI applications using LangChain and LLMs. I am aware of Healthcare domain and am confident that I will be able to help you by developing Agentic AI platform for Healthcare industry. Similar work done in the past: - Document segmentation using Agentic AI - AI Powered Copilot for Text2SQL Query - AI Agent for Risk Mitigation - Medical report generation - Semantic search engine - Topic modeling Relevant Skills: - Python - Agentic AI - LangGraph/CrewAI - GPT4o/Gemini/Llama3.2 - AWS/Thunder Compute - LangChain - MySQL - TensorFlow - Google Colab - OpenCV Let's have a chat to understand the project objective and the other associated details. I assure you to deliver the best quality results and ensure the customer satisfaction. Looking forward to hearing from you soon. Thanks for the opportunity.

@mubeenm5026

Leveraging our decade-long expertise in intelligent and scalable solutions at Web Crest, we have honed the art of turning outcomplex problems into efficient and automated workflows. As your Agentic AI Developer, I'll bring not only my strong Python and system design skills to the table, but also invaluable experience with LLMs, APIs, distributed systems -- all the necessary tools for developing multi-agent systems like planner, executor and verifier architectures that your project demands. At Web Crest, we don’t just build solutions; we revolutionize processes. My extensive background in AI automation - from chatbots to machine learning solutions - lends considerable proficiency when it comes to streamlining the sort of complex healthcare workflows you're tackling: be it risk adjustment or prior authorization. Such hands-on experience deploying Artificial Intelligence In Production will mean reduced learning curve and faster impact on your healthcare systems.

@kamran2012

I can help with this, I will design and deploy your agentic AI systems for healthcare — multi-agent architectures (planner, executor, verifier), RAG pipelines over healthcare data, LLM-powered workflows for risk adjustment, prior authorization, and care gap closure. I will integrate with FHIR and HL7 data sources and build evaluation loops for continuous accuracy improvement. For the multi-agent architecture, I will use LangGraph to orchestrate agent workflows with explicit state management between planning, execution, and verification stages. The key design decision for healthcare is making the verifier agent independently validate every clinical output against source data before it reaches production — this catches hallucinations at the system level rather than relying on prompt-level guardrails alone, which is critical when outputs affect patient care decisions. Questions: 1) Which cloud platform are you deploying on — AWS, GCP, or Azure? 2) Do you have existing healthcare datasets (claims, FHIR resources) ready for the initial agent development, or is data pipeline setup part of the scope? 3) Which LLM provider are you using — OpenAI, Anthropic, or an open-source model? Looking forward to discussing further. Best regards, Kamran

@MQamar123

With my name being Muhammad and a passion for technology, programming, and ensuring clients' requirements are met—our partnership is bound for success. I bring an impressive wealth of over 7 years' experience in software development to the table, with expertise extending from web and app creation to artificial intelligence. Within this timeframe, I have mastered a versatile range of languages scuh as Node.js, React.js, React Native, Flutter, Laravel, PHP; making Python its core. The heart of the project we're considering lies in autonomously transforming healthcare systems—a challenge that compels me not just professionally but personally. And with this strong drive comes the ability to meet your project's specific needs. My vast skill set includes Python and system design important for architecting the agentic behavior required here as well as knowledge on LLMs, APIs, distributed systems. To add more value, I'm adept with agent frameworks like LongGraph and CrewAI giving me an edge over other options. Lastly, I just can't stress enough how keen I am on delivering maximum results: production-grade AI agents that significantly improve workflow efficiency by 15-30%—that's what success looks like to us! So let's leverage my proficiency in Agile Methodologies and my portfolio which speaks for itself on successful real-world AI deployment and scaling to create a solutions-driven autonomous healthcare system! The revolution starts!

@mkh559a5a1fd66e9

Hi, I have 14+ years total development experience and I have 5 years experience i. US HEALTHCARE (Auth, EVV, Scheduling, Payroll, Billing / Invoicing: EDI 837I, P, 277, 835 etc. I am also well versed in LLM Integration, MCP Server, RAG Pipeline, Document Processing, Xonvwrsion and Automation using AI, AI Agents etc. Drop me a message to have a short conversation. With Regards Maroof K.

@hr157

Hi, I’m a senior full-stack engineer with 10+ years of experience, including building LLM-powered systems, RAG pipelines, and distributed AI architectures on cloud platforms. Relevant experience: Built multi-step LLM systems with planner–executor–validator patterns Designed RAG pipelines (chunking, embeddings, retrieval tuning) Deployed AI services on AWS with API Gateway, Lambda, queues, and vector DBs Implemented evaluation loops (accuracy, latency, cost tracking) What I’ll contribute: Design multi-agent architectures (planner, executor, verifier) using LangGraph/CrewAI Build tool-using agents (APIs, databases, workflows) with strong guardrails Develop RAG pipelines optimized for healthcare-style structured + unstructured data Implement feedback + evaluation systems for continuous improvement Ensure scalability, observability, and fault tolerance Healthcare alignment: Familiar with FHIR/HL7 data patterns and structured clinical workflows Approach systems with auditability, traceability, and compliance in mind Approach: Treat agents as deterministic systems with controlled reasoning, not black boxes Balance accuracy, latency, and cost using measurable benchmarks Build for production reliability from day one Why I’m a strong fit: Strong system design + AI integration experience Hands-on with agent frameworks and real-world deployment challenges Ownership mindset with focus on measurable outcomes Let's talk!

@hareshfinadiya

Hi, I am Haresh, having 14+ years of experience in Software Testing Industry. - Having unique blend of knowledge in Quality Product Delivery, Processes Management, Functional testing, Integration and regression testing, load and Perfromance Testing which help me to take the Quality of the software to the next level. - Hands on experience on testing Desktop, Web Based, Mobile application and ERP based application. - Hands on experience on automation testing tools on selenium webdriver, jmeter, katalon studio, Appium, cypress, selenium with TestNG freamwork etc.. - Thorough understanding of Product Delivery Life Cycle, Software Testing Life Cycle and Software Development Life Cycle. - Experience in Well conversant with writing Test plan,Test Cases,Bug report, Release Note and Product Health Report. - Worked in various domains like Finance, Retail, Web Portals, Healthcare, ecommnerce, CMS, Eduction Portal, Life Insurance, ERP system etc. - I do have require mobile devices to test mobile view or applications like android and iOS applications. - I have hands on experience with Git, postman, MSSQL Server. Kindly review my profile and let me know you view over the same. Thanks, Haresh

@Web1devloper

With over eight years of extensive experience in Data Analytics and Science, I bring a unique blend of technical skills and practical understanding of data. My specializations in data storytelling, dashboard development, predictive analytics, and end-to-end data solutions are highly aligned with the requirements of your Agentic AI Developer role for building autonomous healthcare systems. In line with your expectations, I haveadvanced proficiencies in designing data-driven architectures and leveraging cutting-edge tools like Looker, Power BI and SQL, complemented by solid Python skills - an essential requirement for agentic AI development. My comprehensive understanding of FHIR, HL7, claims data integration adds to my expertise of working on real-world healthcare problems like risk adjustment, prior authorization, and provider engagement. Moreover, having fostered improvement with businesses across various sectors including healthcare and finance by optimizing operations and improving customer understandings through insights extraction, I strongly believe that I can create significant value in using AI to improve Medicare Advantage efficiency by a projected 15-30%. The potential for measurable ROI in healthcare workflows drives my passion furtherington. Earning me this opportunity will not ony be advantageics'- (incomplete)

@rajeshrolen

Hello, Are you looking to revolutionize healthcare outcomes through autonomous AI systems? Look no further! With over 7 years of experience, I specialize in designing and deploying cutting-edge Agentic AI platforms that transform clinical, financial, and operational performance for payers and providers. I understand your need to build multi-agent systems, AI workflows for risk adjustment, and scalable AI infrastructure using cloud-native architectures. My expertise lies in designing agentic architectures, developing LLM-powered applications with high accuracy, and integrating healthcare data seamlessly. My unique selling points include strong Python skills, experience with LLMs and distributed systems, and a commitment to delivering top-notch solutions with measurable ROI. Check out my portfolio for a glimpse of my successful projects in the AI domain. Let's discuss how we can collaborate to build the future of autonomous healthcare systems. Feel free to open a chat to delve deeper into your project requirements. Sincerely, Rajesh Rolen

@drtaimoor

Hi, this is a highly aligned role with the kind of agentic AI systems and real-world automation platforms we’ve been building. I have strong experience in Python-based system design, LLM integration, and API-driven architectures, and I can design multi-agent systems (planner–executor–verifier) that are reliable, scalable, and production-ready. My approach focuses on combining RAG pipelines, structured tool-calling, and validation loops to ensure accuracy and safe execution—especially important in healthcare workflows like risk adjustment, prior authorization, and care gap closure. I’ve worked on systems involving data pipelines, real-time APIs, and automation layers, and I’m comfortable integrating structured healthcare data formats (FHIR/HL7/claims) into LLM workflows with proper validation and auditability. I can also implement evaluation frameworks, feedback loops, and monitoring to continuously improve model performance and ensure measurable outcomes. From an infrastructure perspective, I can build cloud-native, scalable AI systems with clean modular design, supporting rapid iteration and deployment. My focus is always on practical, production-grade solutions that deliver measurable efficiency improvements. Happy to discuss your architecture, current stack, and how we can quickly move toward deploying impactful AI agents.

@aviformat

Hello, I’m a Senior AI Engineer with **7+ years of experience** building and deploying end-to-end AI systems across multiple domains. I’ve worked across diverse project streams, delivering solutions from problem definition to production at scale. My expertise spans: * **NLP & LLMs:** RAG pipelines, prompt engineering, fine-tuning (LoRA/QLoRA), evaluation systems * **Agentic AI:** Multi-agent workflows, tool orchestration, explainable AI systems * **Audio AI:** ASR (Whisper), streaming pipelines, audio captioning, multimodal audio-text systems * **Computer Vision:** Deep learning-based image processing and multimodal integration * **Recommendation Systems:** Embedding-based ranking, similarity search, ANN pipelines * **Classical ML & MLOps:** End-to-end pipelines, deployment, monitoring, CI/CD I specialize in **owning complete AI lifecycles**—architecture design, rapid prototyping, optimization, and production deployment using Python, PyTorch, APIs, and containerized systems. Recently, I’ve built LLM-powered systems, agentic frameworks, and multimodal pipelines integrating audio, text, and vision, along with scalable inference and evaluation layers. I bring strong ownership, structured problem-solving, and the ability to turn ambiguous requirements into reliable, production-ready AI systems. Happy to discuss your use cases and propose concrete solutions. Best regards, Ayush

@indreshpnk

Hello, I’m an AI engineer with 7+ years building production AI systems, including agentic workflows, RAG pipelines, and evaluation-driven LLM applications. I’ve designed planner–executor architectures using LangGraph-style orchestration, integrated APIs/tools, and deployed scalable FastAPI + Docker systems. Strong in Python, system design, and reliability—focused on reducing hallucinations and improving measurable outcomes. Experience includes AI assessment engines, automation agents, and structured decision systems. Open to contributing to healthcare-focused agentic platforms and delivering production-grade systems.

@murtuza90

Hi, I’ve carefully reviewed your requirement you need an Agentic AI Developer to build multi-agent systems (planner/executor/verifier), RAG pipelines, LLM-powered workflows, and integrate healthcare data (FHIR/HL7) on scalable cloud infrastructure. With 12+ years of experience, I specialize in Python, AI/ML systems, LangChain/LangGraph, distributed systems, APIs, and production-grade AI deployments. I understand your goal of building reliable, scalable autonomous healthcare agents with measurable impact. Timeline: 4–6 weeks for initial production setup I’ve prepared a blueprint for architecture and scaling. Can we connect to discuss how we can move forward from here? Kind regards, Murtuza

@guptakishan805

Hello, I bring 7+ years of experience building AI-driven systems, including multi-agent architectures, LLM integrations, and scalable backend platforms. I have hands-on expertise designing production-ready AI workflows and can deliver high-impact results quickly. Approach: I design agentic systems using frameworks like LangGraph/CrewAI with planner–executor–verifier patterns, combined with RAG pipelines (vector DB + retrieval + reasoning). I focus on reliability through evaluation loops, prompt optimization, and tool-based execution. I’m experienced in Python, microservices, Redis/Kafka pipelines, and cloud-native deployment. I can integrate structured healthcare data (FHIR/HL7) and build scalable AI workflows for automation and decision support. I’ve worked on real-world AI systems focused on efficiency and measurable outcomes. Let’s connect to discuss how I can contribute to building your autonomous healthcare platform.

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. With over 10 years of experience in AI development, particularly in healthcare, I can design and deploy robust autonomous AI systems tailored to your vision. My expertise lies in building multi-agent systems and developing AI workflows to address real-world challenges in healthcare, such as risk adjustment and prior authorization. I prioritize scalability and reliability in all projects, ensuring that the solutions we create can handle the complexities of healthcare data seamlessly. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m excited about your mission to transform healthcare outcomes through autonomous AI and would love to discuss how we can work together. Could you clarify: Could you elaborate on the specific healthcare challenges you aim to address with your AI platform? Let’s discuss over chat! Regards, Arpit Jaiswal

@utsav007pandya

Hi, yes, I can take on the Agentic AI Developer role to design and deploy autonomous AI systems for healthcare workflows. Quick clarification: should I first focus on building multi-agent architectures and LLM-powered pipelines, or also integrate healthcare data (FHIR/HL7/claims) from the outset? With 7+ years of experience in Python, distributed systems, LLMs, and RAG pipelines, I can build reliable, scalable AI agents for risk adjustment, prior authorization, and care gap closure. I’m ready to start immediately and deliver production-grade AI solutions that improve clinical and operational outcomes.

@tejbirbhatia

Hi there! I am excited about the opportunity to work on building the future of autonomous healthcare systems with your Agentic AI platform. The focus on transforming healthcare outcomes across Medicare Advantage and value-based care aligns perfectly with my expertise in developing AI systems for real-world applications. In a recent project, I worked on designing and deploying autonomous AI systems for a healthcare client, improving workflow efficiency and achieving measurable ROI. This experience has equipped me with the skills needed to tackle the challenges of building multi-agent systems and AI workflows for risk adjustment and prior authorization. I have a couple of questions regarding the project: How do you envision integrating healthcare data such as FHIR and HL7 into the AI workflows? And what specific metrics will be used to measure the success of the AI agents in improving workflow efficiency? Looking forward to the opportunity to collaborate on this innovative project. Thanks, Tejbir Bhatia

@shailender18

As an experienced full stack developer with over a decade of experience in MEAN and MERN stack development, I am not just a Python expert, but I also offer varied skillsets that are an ideal fit for your project. From constructing APIs to integrating AI-driven systems, my expertise can assist you in constructing autonomous AI systems that improve clinical, financial, and operational performance in the healthcare industry. Healthcare data integration is another core skill I possess. Having hands-on experience with FHIR, HL7 claims, I am well versed in extracting valuable insights from vast amounts of medical data. This skill would prove handy in developing evaluation and feedback loops with regards to workflow efficiency.

@Empire3D

Hi there, I am a Data Analyst and Subject Matter Expert (SME) with a strong background in IT (BSc IT, 2021) and 4.5 years of experience in managing complex operational data systems. I am excited about the opportunity to build autonomous AI systems for Club Feast's healthcare initiative, as I combine deep technical skills in Python and SQL with a practical understanding of Healthcare Data structures. Why I am a strong candidate for this Agentic AI role: Healthcare Domain Expertise: I have a deep understanding of the "Source of Truth" in healthcare, including Claims, Payer, and Formulary data. I am fluent in the coding standards that drive risk adjustment and prior authorization, such as ICD-10, CPT/HCPCS, and NDC codes. AI & Automation Experience: I have successfully developed a Desktop Automation Assistant ('Jarvis') using the Gemini API and Python, focusing on autonomous task execution and OS-level integration. I am proficient in building RAG pipelines and have a strong grasp of prompt engineering for high-accuracy LLM systems. My Approach to Building for You: I am ready to design and deploy multi-agent systems (Planner-Executor-Verifier) that can handle complex healthcare workflows like Prior Authorization and Care Gap Closure. I specialize in creating the feedback loops necessary for continuous improvement in production-grade AI. Best regards, Durgesh Jha