Hire the Best Julia Developers

11 years building ML systems. PhD in Deep Learning for Document Analysis. Worked with Huawei, Repsol, Kantar Media. I deliver: LLM/VLM integrations (OpenAI, Claude, Gemini APIs) Computer vision pipelines (detection, classification, OCR) Full-stack AI apps (Django, FastAPI, React) RAG systems and document processing Workflow automation and API integrations I've published in top pattern recognition conferences and shipped production systems at scale. I write clean code, communicate clearly, and hit deadlines. Recent freelance work: NLP pipelines, fake review detection, document AI. Find me in linkedin at mcarbonellnunez

I operate at the intersection of 𝐩𝐫𝐨𝐝𝐮𝐜𝐭, 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩, 𝐚𝐧𝐝 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞/𝐌𝐋 implementation. I help startups and scaleups define technical strategy, build roadmaps, staff and organize engineering teams, and personally implement the core backend and ML components when needed from system design and architecture to model deployment and observability. 𝐖𝐡𝐚𝐭 𝐈 𝐝𝐨: - 𝑪𝑻𝑶 𝒂𝒅𝒗𝒊𝒔𝒐𝒓𝒚 + 𝒉𝒂𝒏𝒅𝒔-𝒐𝒏 𝒊𝒎𝒑𝒍𝒆𝒎𝒆𝒏𝒕𝒂𝒕𝒊𝒐𝒏: architecture, hiring, vendor selection, proof-of-concept → production. - 𝑬𝒏𝒅-𝒕𝒐-𝒆𝒏𝒅 𝑨𝑰 𝒅𝒆𝒍𝒊𝒗𝒆𝒓𝒚: data strategy, model development, MLOps, A/B testing, feature flags. - 𝑫𝒆𝒍𝒊𝒗𝒆𝒓𝒚 & 𝒕𝒆𝒂𝒎 𝒐𝒑𝒔: Agile coaching, sprint governance, capacity planning, risk mitigation. - 𝑺𝒄𝒂𝒍𝒂𝒃𝒊𝒍𝒊𝒕𝒚 & 𝒓𝒆𝒍𝒊𝒂𝒃𝒊𝒍𝒊𝒕𝒚: Micro-services, event-driven architectures, caching, async workers, observability. 𝐓𝐞𝐜𝐡 & 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐒𝐭𝐚𝐜𝐤: Python, FastAPI, Django, PyTorch, TensorFlow, Hugging Face, MLflow, Airflow, Docker, Kubernetes, Terraform, AWS/GCP, Postgres, Redis, Kafka, Prometheus, Grafana, GitHub Actions, Jira, Confluence, Figma. 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: - As acting CTO, 𝐝𝐞𝐟𝐢𝐧𝐞𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐫𝐨𝐚𝐝𝐦𝐚𝐩 𝐚𝐧𝐝 𝐥𝐞𝐝 𝐚 𝟏𝟎-𝐦𝐨𝐧𝐭𝐡 delivery that included MLOps pipelines and a production LLM microservice — 𝐫𝐞𝐬𝐮𝐥𝐭𝐢𝐧𝐠 𝐢𝐧 𝟑𝐱 𝐟𝐚𝐬𝐭𝐞𝐫 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐲 and a 28% boost in user retention. - 𝐇𝐢𝐫𝐞𝐝 𝐚𝐧𝐝 𝐦𝐞𝐧𝐭𝐨𝐫𝐞𝐝 𝐚 𝟕-𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐌𝐋 + 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐭𝐞𝐚𝐦; standardized deployments with Terraform + EKS and introduced SLOs/SLAs to reduce mean time to recovery by 70%. I thrive in 𝐡𝐲𝐛𝐫𝐢𝐝 𝐫𝐨𝐥𝐞𝐬 𝐰𝐡𝐞𝐫𝐞 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐦𝐞𝐞𝐭𝐬 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠. If your team needs someone who can own the roadmap, manage delivery, and also roll up their sleeves to build backend services or AI systems, I’m the right fit. 𝐏𝐨𝐫𝐭𝐮𝐠𝐚𝐥-𝐛𝐚𝐬𝐞𝐝, 𝐫𝐞𝐦𝐨𝐭𝐞-𝐫𝐞𝐚𝐝𝐲, and adaptable to global time zones I specialize in helping startups and scaleups go from 0→1 and then scale reliably. Let’s build something impactful together. 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 𝐟𝐨𝐫 𝐕𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲: CTO, Technical Project Manager, Python, ML Engineer, MLOps, Backend, FastAPI, Django, PyTorch, TensorFlow, Hugging Face, Docker, Kubernetes, Terraform, AWS, GCP, Microservices, Observability, Agile, Scrum, SRE, CI/CD.

I am an AI/ML engineer with 3+ years building production machine-learning systems, backed by a research track record: two accepted peer-reviewed papers, a two-time Google Summer of Code contributor, and published GPU work. What I can build for you: • LLM & vision-language fine-tuning — QLoRA/PEFT, dataset creation, evaluation, deployment-ready inference. • Self-hosted & open-source LLM deployment — running models on your own GPU servers for privacy, control, and lower cost. • RAG systems & AI agents — retrieval grounded in your documents, data, and tools, with evaluation and monitoring so it stays reliable in production, not just in a demo. • GPU & scientific computing — CUDA/CuPy/JAX acceleration, profiling, and pipelines that process terabytes of data • Full-stack delivery — FastAPI backends, React/Electron front-ends, Docker/Kubernetes, so the model ships as a real product your team can run How I work: define the use case, build the smallest reliable version first, test the edge cases, document everything, and hand you code your team can maintain after the contract ends. Core stack: Python, PyTorch, Hugging Face, CUDA/CuPy, FastAPI, React, Docker, Kubernetes. I am Top Rated with 100% Job Success and I reply within a few hours. Tell me what you're trying to build and I will build it for you.

I design and deploy production-grade AI systems: from data pipelines to scalable LLM applications. With 7+ years in ML/AI, I specialize in LLM systems, RAG architectures, and MLOps, helping teams move from prototype to reliable, scalable AI in production. My focus is not just building models but ensuring they perform under real-world constraints: latency, cost, hallucination control, and continuous improvement. What I build -End-to-end ML pipelines: ingestion, training, deployment, monitoring -RAG systems with proper evaluation harnesses (retrieval quality, regression catching) -LLM observability: prompt versioning, tracing, feedback loops -Scalable inference (real-time and batch) with GPU optimization -CI/CD for ML with MLflow, Airflow, automated retraining -AI agents with guardrails and reliable tool use Selected results -Fraud detection pipeline (real-time inference) → ~$890K in losses prevented -Forecasting system using ensemble models → 31% accuracy lift over baseline -Multiple LLM products running in production under client SLAs -$3M+ in measurable business impact across deployments (happy to walk through specifics on a call) Stack -Languages/frameworks: Python, FastAPI -LLMs: OpenAI, Anthropic, HuggingFace, LangChain, LlamaIndex -Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS -Infra: AWS, Docker, Supabase, MLflow, Airflow How I work -Replies in 0–4 hours on business days -Production-grade code with tests and docs, not throwaway notebooks -Clear scope, direct communication, focused on business outcomes -Revenue, automation, speed-to-market — that's the scoreboard Let's turn your AI idea into a working product. Send an invite with your project details and I'll get back to you with a clear plan.

AI/NLP Engineer with 12+ years of hands-on experience. 97% JSS, all projects rated 5.0, $90K+ earned. I build production AI systems and deploy them on scalable cloud infrastructure. I built and maintain a live NLP political bias detection platform (Processing 10K+ articles/day across 6 news categories) and a RAG document Q&A system using Claude API, pgvector, and FastAPI. Check my portfolio for live demos. Tech Stack Highlights: 🧠 AI/ML — LLMs (Claude API, OpenAI), RAG Pipelines, Spacy, Pytorch, Hugging Face, Sentence Transformers, pgvector 🐍 Backend — Django, FastAPI, DRF, Celery, Redis, PostgreSQL ☁️ Cloud — GCP (Compute Engine, Cloud Run, Cloud SQL), AWS, Docker 🚀 DevOps — Docker Compose, Nginx, Linux Administration, CI/CD 🔌 APIs — REST, Webhooks, Scraping, Data/ETL Pipelines 📱 Frontend — React, JavaScript, HTML/CSS, Django Templates Why work with me? ✅ 12+ years shipping production systems ✅ Real AI/NLP projects live in production, not just tutorials ✅ Honest estimates, clean code, long-term client relationships

👋 Need a python Full stack developer and Python AI Developer who can ship production-ready AI products, not just prototypes? I'm Roman, a Python Full stack Developer and Python AI developer with 5+ years in scalable web development and 2+ years in AI/ML. I have built AI systems for skincare, corporate LMS, real estate and SaaS, including a multilingual assistant for a company with 100+ branches and an AI SaaS chatbot platform built over 11 months. What I can help with: ✓ AI chatbot development with RAG, memory and business logic ✓ OpenAI / Claude / LLaMA integrations for SaaS, CRM, support, and internal tools ✓ AI agents trained on company documentation, knowledge bases, and enterprise data ✓ python fastapi API development for scalable AI backends ✓ React / Next.js dashboards connected to Python AI systems ✓ Database architecture, API integration, cloud deployment, and performance optimization ✓ Custom machine learning workflows, benchmarking, data pipelines and analytics ⚡My work combines python full stack engineering, python fastapi backends, LLM architecture and business-focused delivery that reduces manual work and improves user experience. As a python full stack developer, I build full-cycle products from database design and API architecture to React / Next.js interfaces, deployment and long-term optimization. My core stack includes python full stack, Python Fastapi, Flask, Node.js, React, TypeScript, PostgreSQL, MongoDB, Supabase, AWS, Azure, Vercel, REST APIs, WebSockets, Tailwind CSS, and Material UI. As a Python AI Developer, I create AI chatbots, RAG systems, AI agents, document intelligence tools, recommendation engines, and automation workflows. I work with OpenAI, Claude, LLaMA, LangChain, LangGraph, LlamaIndex, vector databases, prompt engineering, ReAct agents, and llm integration for real business use cases. 🤖 AI/ML Solutions I Build 📌 LLM-Powered Applications → Custom AI chatbots with RAG (Retrieval-Augmented Generation) → Multi-agent systems using LangChain & LangGraph → Context-aware conversational AI that maintains conversation flow → Integration with GPT-4, Claude, LLaMA models 📌 Intelligent Automation & Agents → ReAct systems (Reasoning + Acting) for complex workflows → Document parsing and knowledge extraction (LlamaIndex) → AI agents trained on internal documentation and enterprise data → Multi-language support with automatic language detection 📌 Smart Recommendations & Analysis → AI-powered recommendation engines → Image analysis and classification systems → Custom ML models for specific business use cases → Performance optimization for production environments 📌 Full-Stack Integration → RESTful API development and integration → Real-time data handling with WebSockets → Database design (PostgreSQL, MongoDB, Supabase) → Cloud deployment (AWS, Azure, Vercel) 💡 Recent AI Projects & Real Results Recent work includes an AI skincare recommendation system that analyzes customer inputs and recommends products, a corporate LMS AI assistant for 100+ branches, a real estate rental assistant using landmarks and neighborhoods instead of only addresses, and a full-stack SaaS AI chatbot platform with multi-agent logic and RAG capabilities. 🛠️ Technical Stack My experience covers both product engineering and AI development. On the engineering side, I build SaaS platforms, dashboards, APIs, admin panels and automation systems as a python full stack developer ( backend python developer ) backend developer and web developer. On the AI side, I work as a Python AI developer and AI Developer, supporting chatbots, RAG systems, llm integration, OpenAI workflows, benchmarking, machine learning and data science tasks for real business use cases. ⚡My approach is simple: clarify the business problem, design cost-conscious architecture, build clean and maintainable code, show progress through regular demos, and transfer knowledge so your team can use and maintain the system confidently. Additional relevant experience: I have worked around startup products and teams involving laravel, wordpress, sharepoint, moodle lti, flutter, material ui, html front end, payment gateway, back end development, full stack developer react, full stack java, marketing saas, mls, mls idx, real estate photo, ai video, crypto bot, trading python, dask, pandas, data entry, oxwall, qa analyst, ux designer, product manager, it consultant, seo specialist, journalist content workflows, technical resume writing, python full stack, python fastapi, python ai, llm integration, openai, and custom business automation. 🤝If you need a reliable python full stack developer who can own the full product workflow, or a python ai developer who can build practical AI systems with python fastapi, python ai, llm integration, openai, and scalable architecture, send me a message and let’s discuss your project.