Hire the Best YAML Developers

𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 | $𝟭𝟬𝟬𝗞+ 𝗲𝗮𝗿𝗻𝗲𝗱 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟰𝟬+ 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝘀𝗶𝗻𝗰𝗲 𝟮𝟬𝟭𝟴 You get AI agents, chatbots, and LLM applications that run reliably in production: an AI chatbot or AI assistant that handles your customer support correctly, a voice agent that qualifies leads on live calls, a RAG system that pulls the right answer from your documents every time. Recent deliveries include 130+ AI agents on multi-LLM infrastructure (Claude, OpenAI GPT-4/GPT-5, Gemini), HIPAA-grade healthcare AI, and an AI voice agent handling 200+ concurrent calls at 82% qualification accuracy. You also get one accountable point of contact from first call to final deploy, with the capacity behind me to build and ship the complete product, not just advise on it. 8+ years of engineering leadership, now focused entirely on generative AI and agentic systems. This works best if you're a SaaS platform adding your first serious AI feature, a funded startup building an AI product or MVP from zero, or an enterprise team in healthcare or logistics where "it mostly works" isn't good enough. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 - 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 & 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Custom AI agents, multi-agent systems, and AI chatbots (ChatGPT/GPT, Claude, Gemini) using LangChain, LangGraph, LlamaIndex, and CrewAI. Conversational agents, autonomous workflow automation, multi-LLM routing, and AI integrations with your CRM, helpdesk, or internal tools. - 𝗥𝗔𝗚 (𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻): Enterprise RAG systems and knowledge-base chatbots on Pinecone, Weaviate, ChromaDB, and FAISS. Document intelligence, semantic search, and AI data extraction that retrieves the right answer, consistently. - 𝗔𝗜 𝘃𝗼𝗶𝗰𝗲 𝗮𝗴𝗲𝗻𝘁𝘀: Inbound and outbound voice agents and voicebots for lead generation, appointment booking, and support. Full speech-to-text and text-to-speech pipelines on Vapi, Retell, Pipecat, ElevenLabs, Deepgram, Twilio, and the OpenAI Realtime API. - 𝗔𝗜 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Business process and workflow automation with n8n, custom Python pipelines, and LLM workflows: email automation, sales automation, lead qualification, document processing, multi-channel outreach. Plus applied computer vision: object detection, image processing, Whisper transcription. - 𝗧𝗵𝗲 𝗳𝘂𝗹𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝗔𝗜: You don't get a model and a Jupyter notebook handed back. The complete AI SaaS gets built around it: multi-tenant architecture, dashboards, Stripe billing, auth, and cloud infrastructure. Frontend, backend, AI, and DevOps in one place with full ownership. 𝗥𝗘𝗖𝗘𝗡𝗧 𝗥𝗘𝗦𝗨𝗟𝗧𝗦, 𝗜𝗡 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡 𝗧𝗢𝗗𝗔𝗬 - 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝘃𝗼𝗶𝗰𝗲 𝗔𝗜 (𝗨𝗦𝗔): outbound system making 200+ nightly patient calls for medication adherence, HIPAA-aware with PHI-safe pipelines (Vapi, Twilio, n8n, GPT). Plus an AI SOAP-note platform turning hours of clinical documentation into instant structured notes. - 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗔𝗜 (𝗦𝗶𝗻𝗴𝗮𝗽𝗼𝗿𝗲): invoice-processing pipeline that eliminated 90% of manual work (Python, LangGraph, CrewAI, Azure). A related build cut AI processing costs 50%. - 𝗦𝗮𝗹𝗲𝘀 𝗔𝗜 (𝗨𝗦𝗔): HubSpot-integrated chatbot qualifying leads and booking meetings, 60% faster sales response. - 𝗟𝗲𝗴𝗮𝗹 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗜 (𝗨𝗦𝗔): case-brief system with citations and audit trails, 50% research time saved. - 𝗠𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗦𝗮𝗮𝗦: 130+ AI agents in production with multi-LLM routing across Claude, OpenAI, Gemini (GrowStack AI). - 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: AI chatbot that cut support tickets 70%. - 𝗙𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝘁𝗿𝗮𝗰𝗸 𝗿𝗲𝗰𝗼𝗿𝗱: CRM SaaS scaled to 40,000+ users (React, Node), RAG onboarding assistant (Pinecone + OpenAI), and engineering delivered for global brands including IKEA, Unilever, Bajaj Finserv, and Emaar. 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 • AI/LLM & machine learning: OpenAI API (ChatGPT, GPT-4, GPT-5), Anthropic Claude API, Gemini, LangChain, LangGraph, LlamaIndex, CrewAI, prompt engineering, fine-tuning, function calling, MCP • RAG & vector databases: Pinecone, Weaviate, ChromaDB, FAISS, embeddings, semantic search • Voice: Vapi, Retell, Pipecat, ElevenLabs, Deepgram, Whisper, OpenAI Realtime API, Twilio • Automation: n8n, Python automation, webhooks, API integration • Frontend: React, Next.js, TypeScript, Tailwind CSS • Backend: Node.js (Express, NestJS), Python (FastAPI, Django REST), GraphQL, WebSockets • Data & cloud: PostgreSQL, MongoDB, Supabase, DynamoDB, AWS, GCP, Azure, Docker, Kubernetes • SaaS: multi-tenant architecture, row-level security, Stripe billing, RBAC, audit logging, HIPAA-aware and GDPR-aware patterns 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Clear updates on the cadence you want, honest scoping before we start, full ownership from architecture through deployment. If something slips, you hear it from me early, not after the deadline.

🚀 I help startups and enterprises build scalable, production-ready software with a strong focus on Java, Spring Boot, and modern backend architecture. As a Software Engineer, I have designed and delivered systems ranging from start-up MVPs to enterprise and government platforms serving thousands of daily users. My expertise is cantered around building clean, maintainable, and high-performance backend applications, while also collaborating across the full software stack whenever projects require it. What I can help you build: ✔ Java & Spring Boot Applications ✔ REST APIs & Backend Services ✔ Microservices Architecture ✔ Authentication & Security (JWT, OAuth2, Keycloak) ✔ Event-Driven Systems (Kafka, RabbitMQ) ✔ Database Design & Optimization ✔ Performance Optimization ✔ System Integration ✔ Cloud-ready Applications ✔ Software Architecture & Code Refactoring Technologies I work with include Java, Spring Boot, Spring Security, Hibernate, PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ, Docker, Camunda, Keycloak, AWS, and modern observability tools. Beyond my primary backend expertise, I have also delivered successful projects using Python, FastAPI, Django, React, Next.js, Flutter, and Supabase whenever they were the right technology for the job. 🌟 Highlights • Architected and developed the complete backend microservices platform for "Crewpr", a Dubai-based startup, designing 10+ microservices, integrating multiple third-party services, and building a scalable production system serving thousands of active users. • Contributed to digital transformation projects for Irish government organizations, including Enterprise Ireland, NEH, and Startup Ireland, building secure and scalable backend systems. • Improved the performance and scalability of Yugo, a large-scale European student accommodation platform, by developing backend features and integrating external hospitality systems including RentCafe, Student Suite, and Entrata.

Most developers will build exactly what you spec. The problem is that what gets specced is rarely what actually solves the business problem. The gap between those two things is where AI projects fail, and closing that gap before writing any code is how I work. I have been building production AI systems and full-stack platforms for several years. Not prototypes. Systems that handle real users, real data and real consequences when something breaks. TaxForce is a 37-agent system running inside a real CPA firm covering document intake, risk scoring, audit defense, deadline tracking and client communication. The Facebook Self-Healing Ads platform is a closed-loop AI system that monitors, diagnoses and fixes campaign performance without human intervention. PAM AI handles thousands of concurrent dealership calls across 8 plus CRM integrations. Dentva is a HIPAA-compliant SaaS handling patient scheduling in production daily. These are not templates strung together, they are properly engineered systems with error handling, logging and recovery paths built in from the start. Before this I spent a year and a half at Turing doing RLHF and model evaluation on the OpenAI and Claude model families. That experience shapes how I evaluate AI output and design systems that behave reliably rather than impressively in demos. On the full-stack side I was CTO on RIZZ, a React Native dating app that grew past 100K users. I have worked on Junia AI, Slides and TopSocialAI across multi-tenant architecture, real-time systems and mobile at scale. These are confirmed production experience not claimed skills. The stack I work in daily is Next.js, React, TypeScript, Python FastAPI, Node.js, Supabase, PostgreSQL, LangChain, LangGraph, OpenAI, Anthropic API, Retell AI, Vapi, Twilio, ElevenLabs, Deepgram, n8n, Make and AWS. If you are building something in agentic systems, AI automation, full-stack SaaS or voice AI and you want someone who will tell you honestly what the right approach is before agreeing to build it, that is the conversation I am interested in having.

Hi, I'm a front-end developer. I'm well experienced in core technologies, like: HTML5, CSS3, JavaScript, JQuery, Sass/Scss, BEM, NPM, Yarn etc. For static page generators, I have a good experience with Jekyll, Hugo, Astro, less with Gatsby. Also I have basic understanding of ReactJS, GraphQL. In content delivery I’m working with Contentful and Forestry headless CMS. Also well versed in responsive design (mobile-first/desktop-first approaches), Flexbox, Bootstrap 3/4/5, BEM, Tailwind. During my first year on Upwork I have had over 10 projects. Some of them you can see in my Portfolio some are still running now. I communicate clearly in English. I use such project management tools as Notion, Trello, Asana, ActiveCollab. For interacting with graphic designers, I use Figma, Zeplin or Invision and for sharing projects with my customers - GitHub or Netlify. As a full-time developer, I can concentrate all my attention and knowledges to provide the best service for my clients.

Modern applications aren't just about pretty interfaces; they are about speed, scalability, and real-time data. I am a Full-Stack Developer with a deep background in Data Engineering, which allows me to build applications that don't just "work" they scale. I specialize in bridging the gap between high performance backends and intuitive React frontends, using Microservices and Kafka to handle complex, real time data flows. How I can help your business: • Full-Stack Development: I build responsive, SEO-friendly frontends in React and Tailwind CSS, powered by robust APIs built in Express.js or Django. • Real-Time Architecture: I implement Apache Kafka and WebSockets for applications that require instant updates, such as live dashboards, notification systems, or financial trackers. • Scalable Microservices: I design modular architectures that allow your platform to grow without the bottlenecks of a traditional "monolith" app. • Database & Search Optimization: I optimize data retrieval using PostgreSQL, Redis, and Elasticsearch for lightning-fast search and filtering. My Core Technical Stack: • Frontend: React, TypeScript, Vite, Tailwind CSS. • Backend: Express.js (Node.js), Django (Python), Flask. • Data & Events: Apache Kafka, Spark, Real-time ETL Pipelines. • Infrastructure: Microservices, Docker, HDFS, Cloud Deployment. Whether you are looking to build a data-intensive SaaS platform from scratch or need to migrate your existing app to a scalable microservices architecture, I provide the technical expertise to ensure your system is fast, reliable, and future-proof. Let’s discuss your project and how we can build a solution that scales with your users.

Software Engineer with 4+ years of engineering experience specializing in enterprise data infrastructure and large-scale web automation systems. 🎯 Core Competencies: • Agentic Workflows & AI Automation: Architecting complex, stateful multi-agent systems using LangGraph, CrewAI, and n8n. Designing self-healing loops, autonomous error recovery, and tool-calling validation pipelines with exceptional reliability. • Multimodal AI Vision & Agentic OCR: Implementing cutting-edge visual parsers (LlamaParse, Docling, GPT-4o Vision, Azure AI Document Intelligence) to extract schema-compliant JSON data from visually dense documents, complex tables, and unseen invoice layouts. • Anti-Detection Engineering & AI-Bypass: Bypassing enterprise security barriers (Cloudflare, Akamai, DataDome), TLS/HTTP2 fingerprint matching, and rotating residential proxy routing. • Production-Grade Data Infrastructure: Engineering highly scalable, distributed scraper fleets capable of handling over 10 million daily requests without performance degradation or IP bans. • Enterprise ETL & Integration: Delivering structured data directly to BigQuery, PostgreSQL, AWS S3, Snowflake, and vector databases with real-time anomaly detection. 🛠️ Technical Stack: • AI & Orchestration: LangGraph, CrewAI, AutoGen, LlamaIndex, LangChain, OpenAI/Claude APIs. • Automation & Scraping: Python (Scrapy, AsyncIO), Playwright, Puppeteer Stealth, Selenium Grid, Bright Data Agent Browser. • Data Engineering: Apache Airflow, dbt, Pandas, custom ETL frameworks. • Platforms & Workflow Tooling: n8n, Make .com, Docker, Kubernetes. • Infrastructure & Message Queues: Redis, RabbitMQ, Rotating Residential Proxies. • Databases & Vector Stores: BigQuery, PostgreSQL, MongoDB, AWS S3, Google Cloud Storage, FAISS, Pinecone. 💼 Ideal For: • Enterprise operations seeking to automate repetitive back-office tasks, financial document parsing, or complex manual reviews using AI Vision. • Market intelligence agencies requiring highly reliable, long-term web data harvesting pipelines under strict SLA guarantees. • Product teams building RAG-based systems requiring continuous, high-quality, pre-parsed markdown data feeds from dynamic web sources . • Organizations deploying multi-agent swarms requiring production monitoring, comprehensive logging, and enterprise security.