Ramon J.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Oct 17, 2026.

Hello This is Ramon and welcom to my profile. I am a dedicated MLOps & Python Backend Engineer focused on designing, building, and deploying production-grade AI systems that are scalable, maintainable, and deliver real business value. With expertise spanning Generative AI, LLMs, MLOps, and backend development, I bridge the gap between advanced machine learning research and robust, operational software—ensuring your AI solutions perform reliably at scale. What I Deliver: - End-to-End AI/ML Pipelines: From data ingestion and model training to deployment, monitoring, and continuous integration using MLOps best practices. - Scalable Backend Systems: High-performance Python APIs (FastAPI, Django, Flask), microservices, and data processing pipelines that support real-time AI inference. - Production-Ready LLM Solutions: Custom RAG (Retrieval-Augmented Generation) systems, fine-tuned LLMs, AI agents, and multi-modal applications using frameworks like LangChain, LangGraph, LlamaIndex, and Hugging Face. - Cloud-Native Deployments: Fully containerized (Docker, Kubernetes) and orchestrated deployments on AWS, GCP, and Azure, with infrastructure-as-code (Terraform) and CI/CD automation. - MLOps & DevOps Integration: Implementing MLflow, Kubeflow, and ML model monitoring to ensure reproducibility, scalability, and performance in live environments. Technical Skills & Tools: - Programming & Backend: Python (Expert), JavaScript, FastAPI, Django, Flask, REST/GraphQL, AsyncIO - AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face, OpenAI SDK, LangChain - LLMs & Generative AI: GPT-4, Claude, Gemini, Llama, Mistral, RAG, Vector Databases (Pinecone, Weaviate, FAISS, Qdrant), Fine-Tuning, Prompt Engineering - MLOps & DevOps: Docker, Kubernetes, Helm, Terraform, GitHub Actions, Jenkins, MLflow, Kubeflow, AWS SageMaker, GCP Vertex AI - Data Engineering: Apache Airflow, Spark, Kafka, dbt, Pandas, Polars, SQL/NoSQL, Vector Databases - Cloud Platforms: AWS (SageMaker, EKS, Lambda, S3), GCP (Vertex AI, GKE, BigQuery), Azure (ML, AKS) - Monitoring & Observability: Prometheus, Grafana, ELK Stack, CloudWatch, LangSmith Emerging AI Skills & Technologies: - Agentic AI: Building autonomous AI agents with CrewAI, AutoGen, and LangGraph - Model Context Protocol (MCP): Enhancing context-aware AI systems - Specialized LLMs: Experience with domain-specific models like Med-Gemma (healthcare) and Vision-Language Models (VLMs) - Edge AI & On-Device ML: Deploying lightweight models using TensorRT, ONNX, and Gemini Nano - AI for IoT & Robotics: Integrating AI with embedded systems and real-time control platforms Industries I’ve Served: - Healthcare & Telemedicine - FinTech & Fraud Detection - E-Commerce & Retail - Legal & Compliance - Recruitment & HR Tech - Marketing & Content Creation - Real Estate & PropTech - Education & e-Learning - Telecommunications - Automotive & IoT Why Work With Me? I combine technical depth with a product mindset, ensuring every AI solution is built with scalability, security, and business impact in mind. Whether you need a custom LLM application, an MLOps pipeline, or a high-throughput backend system, I deliver clean, documented, and maintainable code—backed by clear communication and a commitment to your success. Let’s build AI that works—reliably, at scale, and in production. Ready to discuss your project? Send me an invite, and let’s turn your AI vision into a deployable reality.