Christian Ruiz Tellechea
About
Detail
Guadalajara, Jalisco, Mexico
Contact Christian regarding:
work
Full-time jobs
Starting at
USD7.5k/month
Résumé
Jobs
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- SSenior Full-Stack & AI EngineerStealth Startup (through Lemon.io)Feb 2025 - Jul 2026 (1 year 6 months)Designed and built an agentic workflow automation platform that embeds AI agents into structured operational processes for midmarket companies with complex, repetitive, multi-channel work. The system supports follow-up, coordination, status updates, exception handling, document and evidence collection, scheduling, approvals, handoffs, and operational closure across WhatsApp, phone calls, email, chat, forms, spreadsheets, and internal systems. • Designed and built agentic workflow automation for complex operational processes, embedding AI agents into structured workflows instead of standalone conversational interfaces. • Built multi-channel AI agent workflows across WhatsApp, phone calls, email, chat, forms, spreadsheets, and internal busine
- SSenior Full-Stack & AI EngineerStealth Startup (through Lemon.io)Feb 2024 - Jan 2025 (1 year)Designed and built an agentic workflow automation platform that embeds AI agents into structured business processes for premium clinics. The system automates lead qualification, patient evaluation, follow-ups, appointment scheduling, payment coordination, escalation handling, and treatment-start workflows across WhatsApp, phone calls, email, chat, forms, and internal systems. • Built multi-channel AI agent workflows using LLMs, LangChain, LangGraph, RAG, Pinecone, and secure tool/function calling. • Implemented text and voice conversational flows using OpenAI Realtime API, speech-to-text, text-to-speech, ElevenLabs, and Azure AI Speech. • Designed agents capable of classifying information, requesting missing data, making bounded decisions,
- PSenior Full-Stack & AI EngineerParent LabApr 2023 - Apr 2024 (1 year 1 month)Worked on an AI-native parenting app that delivers personalized courses, pathways, daily sessions, podcasts, and conversational AI experiences based on family context and user behavior. • Helped rebuild the product from a traditional parenting app into an AI-native experience centered on personalization and conversational guidance. • Contributed to a production multi-agent system for context management, personalization, and product-level AI interactions. • Helped design a Global Context Agent to centralize family context, user interactions, lessons, chats, and product behavior. • Transformed hardcoded onboarding chat flows into interactive AI-powered experiences integrated across the product. • Built scalable full-stack services using TypeS
- RSenior Full-Stack EngineerRaincoatOct 2022 - Apr 2023 (7 months)Contributed to the development and scaling of automated parametric climate insurance infrastructure integrated into financial institutions, banking APIs, and global reinsurance platforms. • Designed and optimized scalable backend services and APIs to ingest, process, and analyze massive volumes of unstructured climate, geographic, and environmental data. • Implemented document processing pipelines and structured extraction mechanisms to handle institutional policy data, ensuring strict compliance with data protection and privacy standards. • Developed cloud-native microservices and real-time triggers that automated immediate payout execution workflows based on predefined parametric triggers. • Collaborated closely with cross-functional prod
Senior AI Engineer / Founding EngineerStealth StartupOct 2021 - Dec 2022 (1 year 3 months)Worked as a founding engineer on an AI platform for software engineers using fine-tuned, code-focused LLMs deployed locally or within private infrastructure. • Built full-stack product features using React, Node.js, TypeScript, Python, and cloud services. • Collected, cleaned, formatted, and labeled coding datasets for fine-tuning code-focused language models. • Experimented with fine-tuning, knowledge distillation, quantization, local inference, and evaluation pipelines. • Worked with QLoRA, GGUF, llama.cpp, Hugging Face, AWS SageMaker, and Google Colab. • Integrated open-source LLMs into proprietary workflows to reduce dependency on external AI providers. • Established CI/CD and versioning practices for application code, prompts, datasets- Technical LeadInfobipDec 2020 - Dec 2021 (1 year 1 month)Led engineering delivery for scalable web and backend platforms focused on performance, modernization, and cloud-native architecture. • Led cross-functional engineering teams delivering web applications and backend systems. • Designed and implemented full-stack features across frontend, APIs, databases, and cloud services. • Migrated legacy components to AWS serverless and microservices-based patterns. • Improved scalability and reduced latency through backend optimization and cloud-native design. • Mentored engineers through code reviews, technical planning, and agile delivery practices. • Tech Stack: React, Node.js, Python, AWS, PostgreSQL, Microservices, Serverless Architecture
- GFounding EngineerGRS SOLUTIONSOct 2016 - Oct 2019 (3 years 1 month)• Tech Stack: React, React Native, Node.js, AWS, DynamoDB, S3, Lambda, API Gateway, Amplify, Docker, Fargate
- DEngineering ManagerDigital DataJan 2012 - Oct 2016 (4 years 10 months)• Tech Stack: React, Java, AWS, .NET, C#, Microsoft SQL Server, CMS, Microservices
Education
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- Bachelor's Degree in Software Engineering / Computer Systems EngineeringUniversidad del Valle de MéxicoJan 2002 - Jan 2006 (4 years 1 month)
Projects (professional or personal)
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- agentic workflow platform designed to embed AI agents into controlled operational processesLemon.ioJan 2025 - Jun 2026 (1 year 6 months)An agentic workflow platform designed to embed AI agents into controlled operational processes for midmarket companies with complex, repetitive, multi-channel work. The platform focuses on operational execution rather than standalone chatbots, helping teams manage live cases across systems, people, and communication channels. The platform supports AI-assisted workflows for follow-up, coordination, status updates, exception handling, document and evidence collection, scheduling, approvals, handoffs, and operational closure. It combines LLM-powered reasoning, modular agent architecture, workflow orchestration, tool/function calling, RAG, human-in-the-loop controls, observability, evaluation frameworks, and reusable workflow packages for real-
- Agentic Workflow PlatformLemon.ioJan 2024 - Jan 2025 (1 year 1 month)An agentic workflow platform that embeds AI agents into controlled business processes instead of relying on standalone chatbots. The first use case supports premium clinics, automating the journey from inbound lead to patient evaluation, follow-up, appointment scheduling, payment coordination, and treatment start. The platform combines multi-channel AI agents for WhatsApp, phone calls, email, chat, forms, and internal systems, LLM-powered reasoning, LangChain, LangGraph, modular agent architecture, RAG with Pinecone, tool/function calling, workflow automation, human-in-the-loop handoffs, observability, evaluation frameworks, and reusable industry-specific packages.
- PParenting appParentlabApr 2023 - Apr 2024 (1 year 1 month)An AI-native parenting app that helps parents through personalized courses, pathways, daily sessions, podcasts, and conversational AI experiences. The product uses multi-agent AI to tailor guidance based on family context, user interactions, lessons, chats, and behavioral patterns, making support more interactive, contextual, and actionable.
- RParametric climate insuranceRaincoatSep 2022 - Mar 2023 (7 months)Contributed to the development and scaling of automated parametric climate insurance infrastructure integrated into financial institutions, banking APIs, and global reinsurance platforms.
- AI Platform for Software EngineersLemon.ioOct 2021 - Nov 2022 (1 year 2 months)An AI platform for software engineers that uses fine-tuned, code-focused LLMs deployed locally or within private company infrastructure. The platform covered the full LLM lifecycle, from dataset collection and fine-tuning to evaluation, quantization, local inference, and product integration for developer-facing AI features.