Emanuel
From Costa Rica (UTC-6)
Emanuel – AWS, Python, LLM
Emanuel is a strong senior AI engineer and AI agent architect with deep expertise in Python, AWS, LLMs, RAG, and MLOps. He has led end-to-end delivery of production AI systems in regulated domains, including healthcare and real-time sports betting, with a compliance-first and evaluation-driven approach. Emanuel demonstrates mature architectural thinking, hands-on ML lifecycle ownership, and clear, client-focused communication. His background spans classical ML, neural networks, and GenAI, with proven leadership and innovation in both startup and enterprise settings.
9 years of commercial experience in
Main technologies
Additional skills
Direct hire
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Let’s get started today!Experience Highlights
AI Solutions Architect
It's an AI-powered platform for running outbound cold calling campaigns using AI voice agents. The system helps sales teams automate lead outreach, qualify prospects, handle live conversations, and capture structured outcomes from calls.

- Designed back-end APIs for campaign management, lead management, call execution, and call outcomes.
- Built workflows for AI voice agents to conduct outbound calls using predefined campaign goals and dynamic conversation logic.
- Integrated voice agent infrastructure with telephony providers and AI/LLM services.
- Implemented structured call result extraction, including qualification status, intent, objections, next steps, and follow-up notes.
- Supported call transcript processing, summarization, and CRM-ready outputs.
- Designed validation and guardrails to make AI conversations more reliable and aligned with campaign rules.
- Worked on containerized backend services for production-ready deployment.
- Collaborated on product workflows for campaign setup, monitoring, and performance tracking.
CTO
It's a platform for creating, deploying, and orchestrating AI agents that can execute real business workflows through APIs, tools, integrations, and external services.

- Designed the back-end architecture for agent execution, tools, memory, and integrations.
- Built API services for chat, agent execution, workflow triggers, and external integrations.
- Led cloud deployment and infrastructure decisions.
- Integrated AI agents into automation workflows.
- Designed reusable agent templates and business-specific AI workers.
AI Solutions Architect
It's a production WhatsApp AI sales agent for a Colombian textile company, handling customer conversations, product questions, lead routing, media understanding, and voice interactions.

- Designed the agent logic for routing customers to physical stores, B2B wholesale, ecommerce, or international channels.
- Built media-handling modules for fabric identification from images, screenshots, and TikTok-style content.
- Added voice note processing and natural voice replies.
- Integrated product catalog lookup, lead capture, contact management, and business rules.
- Improved reliability through validation, fallbacks, and monitoring of production conversations.
Full-stack AI Solutions Architech
It's an AI-driven recruitment platform that replaces traditional CVs with personalized video applications, supporting candidates, recruiters, region leaders, admins, AI feedback, consultation flows, and payment/commission logic.

- Defined the software requirements and system architecture for the product.
- Designed user roles for candidates, recruiters, region leaders, admins, and system-level AI services.
- Created AI workflows for script generation, video feedback, candidate preparation, and recruiter support.
- Designed affiliate/commission structures and payment integration logic.
- Planned scalable data aggregation for hiring insights.