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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.

⭐𝗘𝗫𝗣𝗘𝗥𝗧-𝗩𝗘𝗧𝗧𝗘𝗗 𝗧𝗢𝗣-𝟭% 𝗢𝗡 𝗨𝗣𝗪𝗢𝗥𝗞⭐ 🚀 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗳𝗿𝗼𝗺 𝟏𝟐 𝗬𝗲𝗮𝗿𝘀🔥 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 I’m a senior AI/ML Engineer & Generative AI Specialist with over a decade of experience building real-world intelligent systems. I develop AI products that make a measurable impact—whether that’s automating health policy premiums through facial analytics, optimizing logistics via predictive modeling, or powering chatbots with cutting-edge LLMs. 🧠 Core Expertise Generative & Language Models: GPT‑4o, GPT‑4 Mini, GPT‑3, BERT, LLaMA, Mistral; custom fine‑tuning, retrieval‑augmented generation (RAG), prompt engineering. Computer Vision & Audio: YOLO, Faster R‑CNN, UNet, DeepLab, OCR; image quality analysis, facial attribute detection (BMI/smoker/age), sound classification, speech‑to‑text. Machine Learning & MLOps: XGBoost, LightGBM, CNNs, RNNs, transformers; TensorFlow, PyTorch, Keras, LangChain, Hugging Face; deployment via Docker, Kubernetes, CI/CD pipelines. Deployment & Infrastructure: AWS, GCP, Azure, Databricks, Vertex AI, Sagemaker; FastAPI/Flask microservices; vector databases (Weaviate, Pinecone); ETL & orchestration with Airflow and PySpark. APIs & Integrations: REST, GraphQL, OAuth/JWT, WebSockets; Twilio, Slack, Discord, WhatsApp Business, Google Cloud APIs, Stripe. 🎯 Impact & Achievements Built facial analytics models to estimate age, BMI, and smoking status, enabling automated insurance pricing and risk assessment for thousands of policies. Designed multimodal LLM workflows using LangChain and LlamaIndex, delivering context-aware chatbots and knowledge retrieval systems. Deployed scalable inference pipelines on AWS and Kubernetes, ensuring high availability and cost‑effective resource use. 🤝 Why Work With Me Expert‑Vetted & Top‑Rated Plus: Ranked in the top 1% on Upwork with 100% job success. Business Value First: I translate AI research into practical, cost‑saving solutions. Clear Communication: I avoid jargon and keep stakeholders informed at every step. End‑to‑End Ownership: From ideation to deployment and maintenance, I deliver comprehensive solutions. 📩 Let’s build AI that truly delivers—drop me a message to discuss your project!

Need to further optimize your LLM/GPT/RAG application performance with the support of a top LLM expert, or start from scratch? 6+ Years, AWS and Microsoft Azure Certified AI/ML Specialist, I am focused on building Advanced AI applications around Large Language models (GPT, Claude, Llama, Gemini, Azure OpenAI, etc.), and have compiled some of the most cutting-edge features in AI, RAG, and NLP to cater to specific domains and complex applications. My process to future-proof your business involves, 1. Setting up your data in the best possible format. 2. Optimizing your AI infrastructure for a more deterministic (yet creative) flow in the probabilistic domain of AI. 3. Developing a scalable architecture that anticipates growth. 4. Delivering cost-effective solutions and long-term support. 5. Prioritizing Data Security and Compliance at each increment. As a contributor to Langchain, LlamaIndex, LangGraph, n8n, and other supporting frameworks, I've significantly engaged with the open-source LLM/RAG library space and continually participate in the LLM/AI community. My Expertise lies in custom AI Agents, Chatbots, Voice AI Agents, and Workflow Automations to make your business/product 10x more efficient. 🎓 Advanced proficiency in the following domains, ✦ Model Deployment ✦ Model Fine-tuning ✦ Knowledge Extraction ✦ Structured Data Query (Connect your database with LLMs) ✦ AI Voice/Speech Agents ✦ MCP & A2A (Connect your APIs and AI Agents) ✦ GraphRAG ✦ RAG Enhancement ✦ Prompt Engineering ✦ Long-term Memory and Continual Learning (For an LLM/AI, context is gold) ✦ LLM Performance Analysis (Evaluation, Governance, and Monitoring) 🔧 𝗖𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝗰𝗶𝗲𝘀 ● AWSxAzure Administrator & Solutions Architect - Prioritizing security and compliance, we have built many Azure-only AI Solutions for medium to large-scale enterprises. ● ChatGPT/OpenAI-Based RAG Applications ● LLMOps (Architecture/Development): - Langchain, LlamaIndex, Haystack, AdalFlow, GraphRAG, LangGraph - Cohere, Ollama, Anyscale, Groq, Deepspeed, SentenceTransformer, PyTorch - Any vector database (Pinecone, ChromaDB, Milvus, Qdrant, Weaviate, Azure Search) - AWS SageMaker, Amazon Bedrock, Amazon Q, Azure OpenAI & AI Studio, - Training & Fine-tuning: DPO, RLHF, PPO, PEFT (LoRA, QLoRA) ● Text-to-speech and Speech-to-text: OpenAI Whisper, Google TTS, ElevenLabs, Murf AI, Deepgram, Amazon Polly, Azure TTS ● Python Backend (Flask, Django, FastAPI, Streamlit, Dash, PyQT & Tkinter for GUI) ● Secondary Languages: C#, JavaScript/Typescript, Rust. ● Datastores: MongoDB, PostgreSQL, Redis, DynamoDB, Elasticsearch, Azure CosmosDB ● Linux Server Administration (Amazon-Linux, Debian-based, RHEL), ● Web Servers: Apache2, Nginx ● Containerization and Orchestration: Docker, Docker Swarm, ECS, Kubernetes (Across major Cloud Vendors) ● AWS Serverless: API Gateway, Lambda, SNS, CloudWatch, CloudFront, S3, DynamoDB ● IaC: Cloudformation, Terraform, Ansible ● CI/CD: Jenkins, GitHub Actions, AWS CodeDeploy/CodeBuild, GitLab. ● CRM Integrations: Zendesk, GoHighLevel, HubSpot, Bitrix24. ● Integration and Automation: n8n, Make.com, Zapier, etc. ● Real-Time Data and API Integration 💼 Some mainstream industries and business domains that I have worked with, ✦ CRMs ✦ Healthcare ✦ Operations ✦ Education, Edtech ✦ Legal (Regulation, Compliance, Consultancy) ✦ Real Estate ✦ Retail & E-commerce ✦ Travelling and Hospitality If you are trying to build an MVP for an AI Project, my guide to you would be, "The best way to start is just by building on top of... whatever the best model is... Don’t worry about [cost or latency] at first. You’re just trying to validate the idea." Today, generating and structuring great ideas is easier than ever. What truly sets teams apart now is execution. I’ve developed a robust framework with my experience that enables rapid design and development of AI-first applications, turning ideas into impact with speed and precision. Let's transform customer experience, unlock data intelligence, and solve complex business problems together. Book my consultation if you're new to the concept and want to save several hours searching for the right direction.

🤖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

⭐Top Rated | 100% Job Success | 5-Star Execution ⭐ Let’s be real: Most "developers" here are just middle-men. When you hire me, you aren’t just getting a coder, you’re getting a technical partner who has built products for Dell, Cisco, and dozens of founders across every imaginable domain. I am a Gold Medalist Computer Science graduate, the Founder of OpenRox, and an AI Instructor who has taught 40+ sessions to the next generation of engineers and builders from all age groups. I don’t do "good enough." I build high-performance, scalable systems that actually make money. Doesn't matter if you need a custom AI Agent that thinks for itself, a complex Fintech platform with complex regulatory integrations, or a high-end mobile application, I deliver results. ⭕Why Founders work with me: - Full-Spectrum Mastery: From Embedded Systems (Arduino/Pi) to Game Engines (Unity/Unreal) and AI/ML (PyTorch/TensorFlow). - CEO Mindset: I run a tech agency. I understand ROI, deadlines, and why your business needs to scale. - Elite Pedigree: Top University Gold Medalist. I understand the deep math behind the AI, not just the "wrappers." - Instructor-Level Clarity: I teach this stuff. If I can explain AI to a 10-year-old, I can make your project's architecture crystal clear to you. ⭕ What I’ve Built Recently: - Custom AI Ecosystems: Engineered marketing automation platforms that handle content, email, and video generation autonomously. - Next-Gen V-Tubing: Built AI-driven virtual YouTubers using real-time scraping and OpenAI’s Agent API. - Revolutionary Fintech: Designed 1LINK-integrated financial tools for entrepreneurs with built-in AI advisors. - Creative AI: Systems that generate 3D logos, manga, and interactive stories from scratch. ⭕ My Technical Arsenal: - AI/ML: Custom Agents, NLP, TensorFlow, PyTorch, Scikit-learn, SpaCy. - Web & Mobile: React.js, Node.js, Python, Flutter Java, Swift, Kotlin, REST/GraphQL. - Games & Desktop: Unity, Unreal Engine, JavaFX, Electron, C#, C++. - Everything Else: Shopify, Liquid, WooCommerce, SQL, MongoDB, Firebase. If you want the best, let’s talk. If you want "cheap and slow," I’m not your guy. ✉️Click "Message" or "Invite" and let's turn your vision into a reality.

AI Architect & Senior ML Engineer with 10+ years of academic + industry experience building production-grade intelligence systems, LLM pipelines, and multimodal AI. I design and deploy end-to-end ML architectures, including LLM orchestration, timeseries modeling, graph ML, OCR pipelines, and automated image-processing systems. Trusted by enterprises for high-reliability AI, data privacy, and scalable ML infrastructure.