Gabriel Mendes
@gabrielmendes1
Generative AI engineer building reliable LLM systems with RAG, agents, and AI automation.
BrazilWhat I'm looking for
I’m a Generative AI Engineer focused on creating, optimizing, and operating LLM-based workflows, multimodal systems, and AI automation. I bring a strong foundation in Machine Learning and Deep Learning, with hands-on expertise in Transformers, embeddings, RAG, prompt engineering, output evaluation, agentic workflows, tool calling, guardrails, and spec-driven development.
In my current role, I produced and optimized 1,000+ AI-generated videos across 10+ channels, scaling to 3M+ views and 20K+ subscribers through iterative workflow, prompt, and quality evaluation. I design modular prompt architectures and multi-step pipelines with self-correction loops and A/B testing for hallucinations and instruction-following failures; I also build telecom-specific and enterprise RAG assistants with structured pipelines, citations, routing, fallback handling, and an explicit evaluation layer.
Experience
Work history, roles, and key accomplishments
Generative AI Systems Builder
Independent (AI YouTube Network)
May 2024 - Present (2 years 2 months)
Produced and optimized 1,000+ AI-generated videos across 10+ content channels, scaling operations to 3M+ views and 20K+ subscribers. Built multi-step LLM workflows with self-correction loops, quality evaluation, and A/B testing to reduce failures such as hallucinations and instruction-following issues.
Regional Project Coordinator
RemOpt - Huawei Projects
Jan 2021 - Jan 2023 (2 years)
Coordinated regional telecommunications infrastructure projects across field teams, clients, and suppliers. Bridged field technicians and Huawei to resolve site/link issues related to materials, infrastructure, access/power, network/NOC, and operational documentation while managing deadlines and stakeholder communication.
R&D Engineering Intern
INATEL MIDC - Nokia Innovation Partnership
Jan 2021 - Present (5 years 6 months)
Participated in research and development initiatives within the Nokia/INATEL innovation program focused on technical telecommunications projects.
Education
Degrees, certifications, and relevant coursework
INATEL
Bachelor of Science in Telecommunications Engineering, Telecommunications Engineering
2014 - 2022
Activities and societies: Mathematics Teacher (2019–2020) at Sanico Teles / INATEL; Teaching Assistant in Numerical Calculus, Probability & Stochastic Processes, and Digital Signal Processing.
B.S. in Telecommunications Engineering at INATEL (2014–2022). Served as a Mathematics Teacher (2019–2020) and a teaching assistant for Numerical Calculus, Probability & Stochastic Processes, and Digital Signal Processing.
ETE FMC
Technical Degree in Electronics, Electronics
2011 - 2014
Technical Degree in Electronics (2011–2014) at ETE FMC.
DeepLearning.AI
Machine Learning Specialization, Machine Learning
Completed the Machine Learning Specialization covering core ML concepts and practice-focused learning.
DeepLearning.AI
Deep Learning Specialization, Deep Learning
Completed the Deep Learning Specialization focused on deep learning fundamentals and applications.
DeepLearning.AI
ChatGPT Prompt Engineering for Developers, Prompt Engineering
Completed ChatGPT Prompt Engineering for Developers, focusing on prompt design and building with ChatGPT effectively.
DeepLearning.AI
Building Systems with the ChatGPT API, ChatGPT API Development
Completed Building Systems with the ChatGPT API, covering system building using the ChatGPT API.
DeepLearning.AI
LangChain for LLM Application Development, LangChain
Completed LangChain for LLM Application Development to build applications using LangChain.
DeepLearning.AI
LangChain Chat with Your Data, LangChain
Completed LangChain Chat with Your Data to create chat experiences grounded in provided data.
DeepLearning.AI
Vector Databases: from Embeddings to Applications, Vector Databases
Completed Vector Databases: from Embeddings to Applications, covering embeddings and vector database applications.
DeepLearning.AI
Functions, Tools and Agents with LangChain, AI Agents
Completed Functions, Tools and Agents with LangChain, focusing on using tools and agent patterns with LangChain.
DeepLearning.AI
AI Agentic Design Patterns with AutoGen, Agent Design Patterns
Completed AI Agentic Design Patterns with AutoGen to learn reusable agent design approaches with AutoGen.
DeepLearning.AI
Finetuning Large Language Models, Fine-Tuning LLMs
Completed Finetuning Large Language Models, covering fine-tuning large language models and related practices.
DeepLearning.AI
Evaluating and Debugging Generative AI, GenAI Evaluation & Debugging
Completed Evaluating and Debugging Generative AI to improve the evaluation and debugging of generative AI systems.
DeepLearning.AI
Building and Evaluating Advanced RAG Applications, RAG (Retrieval-Augmented Generation)
Completed Building and Evaluating Advanced RAG Applications, focused on creating and evaluating advanced RAG systems.
Availability
Location
BrazilAuthorized to work in
Salary expectations
Social media
Skills
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