Braulio Otavalo

AI/ML Engineer with 7+ years building production AI systems — LLMs, agentic AI, and cloud-native architectures — for companies turning AI into measurable business outcomes. Echoing Green Fellow and Chevening Scholar (MSc Artificial Intelligence, University of Southampton).
Cofounder of OA7 (Ecuador) and Fractal Synergy (US) — ventures applying geospatial AI and emerging technology to real-world challenges.

Highlights

Recent Experience

1. AI Engineer         Oct 2025 – present
   BairesDev, USA (Remote)
   • Designed and delivered production-grade agentic AI systems (LLMs, RAG, multi-agent workflows) end-to-end—from business problem framing to deployment—helping companies turn AI into measurable outcomes.
   • Built a multi-agent AI copilot for solar design that improves site and financial feasibility, reducing design errors early and accelerating project delivery through intelligent automation.
   • Architected scalable, cloud-native AI platforms with strong evaluation, observability, and cost optimization (RAG evaluation, agent tracing, token efficiency), enabling reliable, production-ready AI systems.
   
2. ML Engineer         Jun 2025 – Oct 2025
   BairesDev, USA (Remote)
   • Reproduce cutting-edge ML research across domains like NLP, CV, RL, and multimodal AI; validate results from top-tier conferences (NeurIPS, ICML, ACL, CVPR, ICLR) and benchmark novel architectures under diverse conditions.
   • Investigate state-of-the-art language models, prompt engineering methods, and emerging techniques such as RLHF, Constitutional AI, and multi-agent systems to assess performance and reasoning capabilities.
   • Build robust instrumentation and logging systems for complex ML and multi-agent workflows; collect and structure detailed execution data for in-depth analysis; evaluate model performance, efficiency, and cost trade-offs on leading benchmarks such as GAIA, SWE-bench, MLBench, HLE, MMLU, and ARC-AGI-2.
   
3. ML Engineer         Aug 2024 – Jun 2025
   Awana, USA (Remote)
   • Led the development of AI strategies for Awana’s recruiting process, automating applicant-job description matching and improving success rates by 20%.
   • Designed and executed the AI Skills Accelerator, a 12-week up-skilling program for junior developers, enabling them to deliver clean ML projects 30% faster.
   • Designed and implemented Generative AI-based solutions for ChildNEXUS, including semantic recommenders and chatbots, leveraging vector embeddings, vector DB, graph DB, LLMs, and RAG pipelines, which improved user engagement by 15% through automated, real-time responses