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Emanuel – AWS, Python, LLM, experts in Lemon.io

Emanuel

From Costa Rica (UTC-6)flag

AI Engineer|Strong senior
AI Agent Architect|Strong senior
MLOps Engineer|Senior

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
AI
Architecture
Retail
Video streaming software
Voice-first system
Main technologies
AWS
8 years
Python
10 years
LLM
4 years
RAG
1 year
AI
7 years
MLOps
5 years
AI telemetry
1 year
Multi-agent systems architecture
1 year
Additional skills
PyTorch
Machine learning
Deep Learning
GoogleAPI
FastAPI
LLM benchmarks
AI API integration
Prompt engineering
AI agent development
OpenAI
AI chatbot development
AI agent orchestration
Claude API
Voice AI integration
Direct hire
Possible
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Experience Highlights

AI Solutions Architect
Jun 2025 - Mar 20269 months
Project Overview

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.

Project gallery:
Portfolio example for Huntline — AI Voice Agents for Cold Calling Campaigns by Emanuel, AI Solutions Architect
Responsibilities:
  • 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.
Project Tech stack:
AI
Voice AI integration
AI agent orchestration
CTO
Dec 2023 - Dec 20252 years
Project Overview

It's a platform for creating, deploying, and orchestrating AI agents that can execute real business workflows through APIs, tools, integrations, and external services.

Project gallery:
Portfolio example for Skillful AI — Multi-Agent AI Workforce Platform by Emanuel, CTO
Responsibilities:
  • 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.
Project Tech stack:
AI
AWS
Claude API
OpenAI
AI agent development
AI agent orchestration
AI chatbot development
AI Solutions Architect
Apr 2025 - Nov 20257 months
Project Overview

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.

Project gallery:
Portfolio example for WhatsApp AI Lead Management Agent for Retail & B2B Sales by Emanuel, AI Solutions Architect
Responsibilities:
  • 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.
Project Tech stack:
Python
FastAPI
LLM
GoogleAPI
AWS
Full-stack AI Solutions Architech
Dec 2024 - Aug 20257 months
Project Overview

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.

Project gallery:
Portfolio example for Talboost — AI-Powered Recruitment Platform with Video Applications by Emanuel, Full Stack AI Solutions Architech
Responsibilities:
  • 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.
Project Tech stack:
AI
LLM benchmarks
FastAPI
Python
Prompt engineering
AI API integration
AWS

Languages

English
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