
Lucas Kaniak
@lucaskaniak
I build scalable AWS microservices and AI-driven e-commerce systems that improve sales, reliability, and operational efficiency.
What I'm looking for
At Biso, I build AI-driven e-commerce systems for a global SaaS platform serving 250+ brands. I architected a high-concurrency AI assistant that helped drive a 55% increase in product sales through real-time agentic workflows.
I’ve scaled data ingestion for 200+ clients with AWS Fargate and PostgreSQL, built RAG capabilities with pgvector, and implemented LLM tracing and evaluation with LangSmith and CloudWatch. I also deployed forecasting pipelines with Prophet and resilient FastAPI services on AWS Lambda and ECS with 99.9% uptime.
Previously, I delivered backend and AI integrations for UNICFC and MetLife, including fact-checking, voice detection, proctoring, and enterprise payroll APIs. At Wake Commerce, I helped refactor a legacy .NET monolith into modular, API-first microservices using CQRS, MediatR, Docker, CI/CD, and Kafka.
Experience
Work history, roles, and key accomplishments
Software Engineer
Biso
Jun 2024 - Present (2 years 3 months)
Scaled data ingestion for 200+ e-commerce clients by architecting a high-throughput ETL/ELT pipeline on AWS Fargate, using PostgreSQL to ensure consistency and reduce data latency for downstream RAG analysis. Engineered a high-concurrency AI assistant for e-commerce, driving a 55% increase in product sales by enabling real-time, production-grade agentic workflows.
Education
Degrees, certifications, and relevant coursework
XP Educação
Master of Business Administration, Artificial Intelligence and Machine Learning
2024 - 2024
MBA in Artificial Intelligence and Machine Learning from XP Educação, Brazil, completed in 2024.
Pontifical Catholic University of Paraná
Bachelor of Science, Computer Science
2015 - 2018
Bachelor of Science in Computer Science from Pontifical Catholic University of Paraná, Brazil, completed in 2018.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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