Lucas is a committed AI Full-Stack Developer with over 10 years of professional experience, currently specializing in intelligent software systems using large language models and advanced AI frameworks. He builds smart applications by combining solid full-stack capabilities with machine learning, natural language processing, and vector search systems.
Lucas has recently worked with LangChain to build LLM-powered apps with custom workflows and knowledge retrieval. He enjoys discovering innovative ways to apply AI in real-world problems. When he’s not coding, Lucas explores new AI trends, contributes to open-source tools, and enjoys mentoring young developers.
Skills
- LangChain
- Python
- Ruby on Rails
- TensorFlow
- LLM
- PostgreSQL
- React
- Redis
Experience
- 2023 - 2025
AI Solutions Lead à NeuroScope AI
At NeuroScope AI, Lucas led the development of a virtual research assistant that uses LangChain to help biomedical teams interact with research data through natural language. The platform integrates with internal knowledge bases, processes long documents, and supports intelligent query chaining. Lucas worked on the chain architecture, vector database integration, and LLM response tuning.
- LangChain
- Python
- LLMs (OpenAI, Anthropic)
- ReactJS
- PostgreSQL
- Redis
- 2020 - 2022
Team Leader à Ranklytix
Lucas led a team at Ranklytix to build an AI-enhanced SEO analytics tool. The platform tracked ranking trends and performed real-time sentiment analysis on business reviews. He implemented machine learning models to detect performance anomalies and directed deployment processes.
- NodeJS
- Redis
- MongoDB
- Docker
- 2019 - 2020
Team Leader à VibeMatch
Lucas worked at VibeMatch on a smart social platform that used AI to recommend matches based on conversational style and engagement history. He helped develop the matchmaking logic and improved the stability of real-time video and audio features.
- Ruby on Rails
- NodeJS
- WebRTC
- SocketIO
- 2018 - 2019
Team Leader à AutoFleetIQ
At AutoFleetIQ, Lucas led the development of a fleet monitoring system with AI components for route optimization and driver behavior prediction. He managed a distributed team, structured real-time data pipelines, and built custom dashboards for clients.
- Ruby on Rails
- Golang
- MongoDB
- Kubernetes
- Kafka
- 2018
ROR Developer à ChatReserve
Lucas contributed to a chatbot-based reservation system at ChatReserve. The platform provided AI-driven recommendations for restaurants and event venues. He helped define booking logic and scaled the chatbot’s performance.
- Ruby on Rails
- MongoDB
- Golang
- VueJS
- 2017
ROR Developer à ContentHarvest
Lucas worked on a platform for creators at ContentHarvest, where users could monetize their content. He helped design features for AI-based tagging and dynamic pricing models, while improving transactional reliability.
- Ruby on Rails
- NuxtJS
- MySQL
- Redis
- 2015 - 2017
ROR Developer à HireCore
At HireCore, Lucas built backend features for a recruitment platform that used AI to evaluate resumes and recommend candidates. He worked on candidate scoring, skill-based search filters, and API performance enhancements.
- Ruby on Rails
- AngularJS
- MySQL
- ElasticSearch
- Redis
- 2014 - 2015
ROR Developer à RankSync
Lucas helped build a review and feedback platform at RankSync that managers used to assess employee performance. He worked on the reporting system and upgraded the evaluation framework to provide more reliable performance insights.
- Ruby on Rails
- jQuery
- MySQL
Education
- 2014
Bachelor of Engineering à Posts and Telecommunications Institute of Technology
