Hire the Best RAG Developers

⭐ TOP RATED | 100% Job Success | AI Agents, RAG Chatbots, OCR & Document AI I build production-ready AI systems that pay for themselves: I saved a fintech client €40,000/year by automating their KYC pipeline (99%+ extraction accuracy) and cut clinical documentation time by 60% with an AI medical scribe inside a live EMR platform. If you have messy documents, manual workflows, or an agent/chatbot idea that needs to actually work in production — not just in a demo — I can ship it fast without sacrificing accuracy or scalability. WHAT I BUILD 🔹 AI Agents & Multi-Agent Automation — autonomous, decision-making agents with LangChain, LangGraph and CrewAI that automate real backend processes: document review, support, lead handling, internal ops. 🔹 RAG Chatbots & Knowledge Assistants — retrieval-augmented generation chatbots over your PDFs, docs and databases. Hybrid GraphRAG (Neo4j) + vector search for grounded, accurate answers with strict guardrails against hallucination. 🔹 OCR & Document AI — invoice, ID and form data extraction with PaddleOCR, AWS Textract, YOLO and LayoutLM. 99%+ extraction accuracy on IDs, invoices, tables and unstructured documents. 🔹 Healthcare AI & EMR Automation — HIPAA-compliant medical scribes (Whisper speech-to-text, speaker diarization, auto-generated SOAP notes and ICD-10 codes), wound-analysis computer vision, clinical RAG with PII redaction. 🔹 KYC & Identity Verification — document localization, MRZ parsing, ArcFace biometric matching, liveness detection, real-time transaction risk engines. RESULTS CLIENTS PAID FOR - €40K/year saved — automated fintech KYC pipeline (OCR + face match + verification agents) - 60% less documentation time — AI medical scribe running in a production EMR - 40% accuracy uplift — hybrid GraphRAG retrieval for complex financial queries - 10x faster document processing — logistics and finance workflows - Sub-200ms retrieval latency — FastAPI microservices with Redis caching TECH STACK Python, FastAPI, Docker, AWS, GCP | LangChain, LangGraph, CrewAI, OpenAI, Claude, Hugging Face | Pinecone, FAISS, Weaviate, Neo4j, MongoDB, Redis | OpenCV, YOLO, PaddleOCR, Tesseract, LayoutLM | PyTorch, TensorFlow HOW I WORK Fast execution with production discipline: clear milestones, regular updates, clean documented code, containerized deployment. I use modern AI dev tooling (including Claude Code) to ship in days what normally takes weeks — without cutting corners on architecture. If you want an AI system that works in production, send me an invite or message and let's scope it in a quick call. Keywords: AI Engineer, AI Agent Developer, AI Agents, Multi-Agent Systems, RAG, Retrieval Augmented Generation, Chatbot Development, LLM Integration, GPT-4o, Claude, LangChain, LangGraph, CrewAI, OCR, Document AI, Data Extraction, Computer Vision, Healthcare AI, EMR Automation, KYC Automation, Identity Verification, NLP, Python, FastAPI

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $300K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 80+ Projects Completed. ✅Top Rated Plus. ✅ 100% Job Success Rate. ✅ AWS certified ✅ Python certified ✅50hrs/week available ✅ 4+ AI/ML Integrations 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱 / 𝐂𝐡𝐫𝐨𝐦𝐚 / 𝐅𝐀𝐈𝐒𝐒 / 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 / 𝐐𝐝𝐫𝐚𝐧𝐭 / 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 / 𝐌𝐢𝐥𝐯𝐮𝐬 Greetings! I am Atul Kumar, a seasoned developer with over 8+ years of experience in web application and software development. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts 🔹 Quantization: AWQ, GPTQ, GGUF, GGML 🔹 RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant 🔹 Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks 🔹 LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. I am dedicated to providing high-quality, efficient solutions that cater to the unique needs of each project. My diverse skill set allows me to approach challenges from multiple angles, ensuring robust and innovative solutions. Warm regards, Atul Kumar

Most AI initiatives are not unsuccessful because of substandard models. They are not working after all no one assembles all the pieces together. 𝐓𝐡𝐚𝐭'𝐬 𝐦𝐲 𝐣𝐨𝐛. ᯓ★ I build production-ready AI systems that solve real business problems. 🌍 Serving clients globally with 𝐟𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 across all time zones 🏆 3+ years of hands-on experience across full-stack 𝐀𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 😊 Trusted by 𝟐𝟎+ 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 across healthcare, legal, finance, and education 🔝 Specialized in 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 from concept to deployment Most AI projects do not fail because the model is weak. They fail because the full system is not designed properly: retrieval is poor, APIs are fragile, the frontend is disconnected, or deployment is ignored. My work focuses on connecting all of those pieces into one reliable product. I work across the full stack of AI development: machine learning/deep learning models, computer vision/NLP techniques, GenAI/Agentic AI & LLM applications, RAG pipelines, backend APIs, frontend interfaces, databases, and cloud deployment. I have built AI solutions across healthcare, legal tech, education, analytics, and cybersecurity, including systems for clinical triage, legal document analysis, real-time sentiment analysis, and enterprise knowledge assistants. ➥ Core Expertise Machine Learning: Classification, regression, clustering, dimensionality reduction, feature engineering, ensemble learning, anomaly detection, time-series, model evaluation (ROC-AUC, F1, RMSE), pipeline optimization. Deep Learning: CNNs, RNNs, LSTMs, Transformers, attention mechanisms, transfer learning, fine-tuning, backpropagation, gradient descent, model quantization. Computer Vision: Image classification, object detection, segmentation, OCR, pose estimation, preprocessing, augmentation, visual embeddings, video analysis, Grad-CAM. NLP: Text classification, sentiment analysis, NER, topic modeling, summarization, question answering, machine translation, semantic search, embedding-based retrieval. GenAI / Agentic AI: RAG pipelines, multi-agent systems, tool/function calling, prompt engineering, embeddings & vector search, reranking, hallucination reduction, LLM evaluation, fine-tuning (LoRA/QLoRA). Deployment: Containerization, orchestration, CI/CD pipelines, autoscaling, monitoring & logging, GPU deployment, serverless architecture. Full-Stack AI Development: AI chatbots, copilots, document Q&A systems, RAG-based systems, multi-agent workflows, memory systems, local LLM deployment. ➥ Tools and Frameworks Machine Learning: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, NumPy, pandas, MLflow, Optuna. Deep Learning: PyTorch, TensorFlow, Keras, Hugging Face Transformers Computer Vision: OpenCV, PyTorch Vision, Detectron2, YOLO, Albumentations, MediaPipe, Segment Anything (SAM), FiftyOne. NLP: BERT, RoBERTa, T5, GPT, SentenceTransformers, spaCy, NLTK, Hugging Face Transformers. GenAI / Agentic AI: OpenAI API, Gemini, LLaMA, Mistral, Claude, LangChain, LangGraph, CrewAI, LlamaIndex, FAISS, ChromaDB, Pinecone, Milvus, Ollama, vLLM. Backend APIs: FastAPI, Flask, Django, Node.js, GraphQL, REST APIs, Redis, Nginx, PostgreSQL/Supabase, Firebase. Deployment: Docker, Kubernetes, AWS, GCP, Azure, Vercel, GitHub Actions. ➥ Why Clients Work With Me - I build complete AI products, not just isolated models - I focus on real-world usability, performance, and maintainability - I communicate clearly and give realistic technical direction - I write clean, documented code that teams can extend - I can take a project from idea to deployment If you need an AI engineer who can handle the full pipeline from LLMs and ML models to backend, frontend, and deployment, I would be glad to help. Let’s have a quick chat/meeting and discuss the solution to your problem. ➥ EXPERTISE Machine Learning | Deep Learning | Generative AI | Agentic AI | NLP | AI System | AI Development | AI Full-stack Development | AI MVPs | Python Scripting | Computer Vision | Sentiment Analysis | RAG Chatbots | Automations | Backend Development | Frontend Development | AI Chatbots | LLM Applications | AI Web App Development | AI Engineer | Cloud Deployment | Classifications | Recommendation systems | EDA | Feature Engineering | Time-series | Predictive Modelling | MLOps | PDF Extraction | Data Extraction | Object Detection | Model Fine-tunning | AI Model Integration | AI PDF Extraction | Statistical analysis | Legal | Finance | Healthcare | Education | AI Model Development | Full-stack Development

I am a Senior Generative AI Scientist & Full-Stack Developer with multiple years of experience designing, fine-tuning, and deploying advanced AI systems for startups, enterprises, and research labs. My career is built on bridging AI research with production-ready solutions, enabling businesses to harness the power of modern AI through seamless, user-friendly web and mobile applications. 🔹Generative AI & Applied Research I have hands-on expertise with Large Language Models (LLMs) such as GPT, LLaMA, and Mistral, specializing in: Fine-tuning, evaluation, and quantization for efficiency. Building Retrieval-Augmented Generation (RAG) pipelines with vector databases (FAISS, Chroma, Pinecone). Developing multimodal AI systems integrating text, images, audio, and video. Designing advanced chatbots and assistants with contextual memory, voice interaction, and personalized responses. Implementing AI for document summarization, translation, Q&A, and OCR-driven processing. Leveraging Hugging Face, LangChain, Ollama, and other frameworks for enterprise AI deployments. I focus on transforming cutting-edge research into real-world applications, ensuring each solution is reliable, efficient, and scalable. 🔹Full-Stack Web & Mobile Development Beyond AI, I specialize in building the platforms that deliver AI to end users. I design and develop complete frontend and backend systems that make advanced AI tools accessible: Frontend: React.js, Next.js, Tailwind CSS, TypeScript → responsive, modern, and interactive user interfaces. Backend: Node.js, FastAPI, Express.js → scalable APIs, secure integrations, and real-time communication. Databases & Storage: MongoDB, PostgreSQL, Firebase → structured and unstructured data handling. Mobile Apps: React Native, Kotlin, and Android → cross-platform apps with native performance. DevOps & Deployment: Docker, Kubernetes, AWS, GCP → secure, production-ready hosting. UI/UX for AI: Designing intuitive dashboards, chat interfaces, and analytics panels tailored for AI-driven applications. This full-stack expertise ensures I don’t just build the AI engine — I also create the interfaces, dashboards, and mobile/web experiences that make AI practical and impactful for real users. 🔹Key Strengths & Capabilities LLMs: GPT, LLaMA, Mistral → fine-tuning, embeddings, optimization. RAG & Vector Databases: FAISS, Chroma, Pinecone. Multimodal AI: speech-to-text, text-to-speech, OCR, image-to-text. AI Applications: chatbots (text + voice), assistants, summarization tools, translation, recommendation systems. Full-Stack Development: React.js, Next.js, Tailwind, Node.js, FastAPI, Express.js. Mobile Development: React Native, Kotlin, Android. DevOps: Docker, Kubernetes, AWS, GCP, CI/CD pipelines. Data Security: local hosting, privacy-first architectures, policy-driven systems. Research to Product: prototype design, whitepapers, applied research, SaaS platforms. 🔹Industry Applications Delivered I have successfully delivered AI-powered platforms and web/mobile apps across: Healthcare – patient chatbots, medical document summarization. Education – bilingual AI tutors, university chatbot platforms. Finance – fraud detection support, AI-based document parsing. Legal – contract summarization, knowledge-driven assistants. Marketing & Customer Support – multilingual chatbots, voice-enabled service agents, data-driven analytics. 🔹My Philosophy I believe AI is only as powerful as the experience delivered to users. That’s why I combine scientific AI expertise with end-to-end software engineering, ensuring businesses not only get powerful AI engines but also beautiful, intuitive, and scalable platforms to deploy them. If you are looking for someone who can design, build, and deploy AI-powered web or mobile applications from the ground up, I can help you turn your ideas into real-world, production-ready solutions. Let’s collaborate to build the next generation of Generative AI-powered platforms.

I’m an AI / Generative AI Engineer with 6+ years of experience building intelligent systems that automate workflows, retrieve knowledge, and integrate AI into enterprise platforms. I specialise in designing and deploying AI agents, RAG-based knowledge assistants, and automation solutions that work within existing business environments such as Microsoft 365, SharePoint, CRM systems, and internal APIs. My focus is helping organizations move from AI experimentation to real production systems that improve decision-making, automate manual processes, and unlock insights from their data. What I Build ✔ AI Agents & Autonomous Workflows ✔ Knowledge Assistants using RAG (Retrieval-Augmented Generation) ✔ Copilot Studio & Microsoft AI solutions ✔ Voice AI & Conversational Agents ✔ Automation using APIs and workflow platforms Core Technologies Generative AI: - Azure OpenAI / OpenAI - LangChain & RAG architectures - LLM agents and reasoning systems - Prompt engineering Microsoft & Automation: - Copilot Studio - Power Automate - SharePoint integrations - Microsoft 365 automation Development: - Python - API development - AI integrations - Data pipelines Cloud Platforms: - Azure AI - GCP Vertex AI - AWS Bedrock Recent Work • Built AI research assistants that retrieve and summarize knowledge from internal systems like Google Drive, Gmail, and CRM platforms. • Designed AI reasoning agents using Gemini + LangChain with structured memory and RAG pipelines. • Developed multi-agent AI systems using CrewAI and Vertex AI for automated research, synthesis, and reporting. • Implemented Copilot Studio AI agents integrated with enterprise knowledge bases and workflow automation.

𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐑𝐚𝐭𝐞 | 𝟓-𝐒𝐭𝐚𝐫 𝐑𝐚𝐭𝐢𝐧𝐠𝐬 | 𝐅𝐮𝐥𝐥 𝐓𝐢𝐦𝐞 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 | 𝐕𝐞𝐫𝐢𝐟𝐢𝐚𝐛𝐥𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 🏆 Certified AI Engineer (AWS, DeepLearning, Claude, Azure) 🏆 Winner of multiple global AI innovation awards (IBM, Google, Microsoft) 🏆 Built production-grade AI Agents, RAG systems, and AI automation platforms 🏆 Worked as an AI Engineer at leading big tech companies 🏆 Built 15+ AI systems that helped businesses generate $2M+ revenue through scalable AI automation and workflows As a 𝐓𝐨𝐩 1% Software Engineer, I specialize in building AI systems using Claude for conversational AI, enterprise workflows, intelligent document processing, and context-aware automation solutions. Most businesses struggle with fragmented systems, slow applications, and AI integrations that never make it into production. I help companies build scalable, production-ready AI applications powered by OpenAI and Claude, using Claude for intelligent workflows, Claude API integrations, advanced LLM frameworks, intelligent automation, and robust backend architecture. ➤ 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 1: 𝘼𝙄 & 𝙇𝙖𝙧𝙜𝙚 𝙇𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙈𝙤𝙙𝙚𝙡𝙨 (𝙇𝙇𝙈𝙨): OpenAI API | Claude (Anthropic) | LangChain | LangGraph | MCP | LlamaIndex | CrewAI | Google ADK | ElevenLabs | Whisper | Hugging Face Transformers | ChromaDB | Azure OpenAI Service | Azure Cognitive Search | Azure AI Studio 2: 𝘽𝙖𝙘𝙠-𝙀𝙣𝙙 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧𝙞𝙣𝙜 & 𝘼𝙋𝙄𝙨: Node.js | Express | Python | Django | FastAPI | PHP | RESTful APIs | GraphQL | Claude API Integrations 3: 𝙁𝙧𝙤𝙣𝙩-𝙀𝙣𝙙 𝘿𝙚𝙫𝙚𝙡𝙤𝙥𝙢𝙚𝙣𝙩 & 𝙐𝙄/𝙐𝙓: React | Next.js | TypeScript | Vue.js | Tailwind CSS | HTML5/CSS3 | Framer Motion 4: 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 & 𝘿𝙚𝙚𝙥 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 TensorFlow | PyTorch | Scikit-learn | NLP | Predictive Modeling | Computer Vision | Data Processing | Fine-tuning ➤ 𝐒𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 ▸ MedClaim AI (Medical Records Analysis): NLP and computer vision pipeline for insurance claims - 40% faster processing, 90% accuracy in cost prediction, 30% reduction in operational costs. ▸ ConstituAI (Legal AI Platform): RAG-powered constitutional analysis system achieving 80–85% alignment with real Supreme Court verdicts, with full legal citations per output. ▸ ClauseIQ (Contract Intelligence): NLP platform saving 4 hours per contract, with 80% improvement in clause extraction accuracy and 50% reduction in manual review costs. ▸ MedOps (Healthcare AI Automation System): Built an AI-powered medical billing and document standardization system that automated medical code assignment and processed 600-page unstructured medical PDFs in 4–5 minutes using LlamaCloud and LangChain, replacing workflows that previously took days. ▸ RAGDesk AI (AI SaaS Platform with RAG-Powered Chatbot): Built a full stack SaaS platform with an AI chatbot and contextual RAG system using React, Node.js, OpenAI APIs, and vector databases, enabling intelligent document search and context-aware conversations. ➤𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 AWS | Docker | GitHub Actions | CI/CD | Azure | PostgreSQL | MongoDB | MySQL | WebSockets | Authentication Systems | API Integrations ➤ 𝐖𝐡𝐲 𝐈’𝐦 𝐓𝐡𝐞 𝐑𝐢𝐠𝐡𝐭 𝐅𝐢𝐭 ▸ BS in AI — not a bootcamp, not self-taught ▸ Expert Top 1% - Upwork's highest trust designation ▸ 200+ projects, zero failed engagements ▸ End-to-end capability - from raw data pipelines to production AI systems ▸ I speak business outcomes, not just technical specs ▸ Technical teams get clean infrastructure. Business leaders get clarity. ➤𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 Full Stack Developer | AI Engineer | Generative AI Engineer | Machine Learning Engineer | Deep Learning Engineer | React Developer | Next.js Developer | Node.js Developer | Python Developer | FastAPI Developer | RAG Developer | AI Agent Developer | LangChain Developer | OpenAI API Expert | Automation Engineer | SaaS Developer | Software Engineer 𝑹𝒆𝒂𝒅𝒚 𝒕𝒐 𝒂𝒖𝒕𝒐𝒎𝒂𝒕𝒆 𝒘𝒐𝒓𝒌𝒇𝒍𝒐𝒘𝒔, 𝒃𝒖𝒊𝒍𝒅 𝒂𝒅𝒗𝒂𝒏𝒄𝒆𝒅 𝑨𝑰 𝒂𝒈𝒆𝒏𝒕𝒔, 𝒐𝒓 𝒕𝒖𝒓𝒏 𝒚𝒐𝒖𝒓 𝒅𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝒔𝒎𝒂𝒓𝒕 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏𝒔?