Generative AI systems
RAG, guardrails, image generation, APIs and evaluation for LLM-based products.
AI Engineer & Tech Lead
I'm Marco Bochernitsan, an AI Engineer and Tech Lead at HP. I connect data, generative AI systems, intelligent agents and production machine learning.
Porto Alegre, Brazil · Portuguese and English

01 / EXPERTISE
I design AI solutions as complete systems: data, models, evaluation, safety, product and business impact.
Experience built through delivery
Explore my experience
Airscort
KPMG
Lojas Renner S.A.
Assertive Yield B.V.
HPWHERE I CAN CONTRIBUTE
RAG, guardrails, image generation, APIs and evaluation for LLM-based products.
Multi-agent architectures, tool orchestration and automation of complex journeys.
Forecasting, NLP, data engineering, pipelines, DevOps and observability for data products at scale.
Fairness in text-to-image models, reproducible evaluation and bias-utility trade-offs.
02 / SELECTED PROJECTS

CONSULTING CASE · AGILIZE · 2025
A chatbot developed for Agilize using AI agents and the Agno framework, supporting different stages of customer service throughout 2025.
Explore the caseRESEARCH · 2024—2026
Master's research on bias mitigation methods for diffusion models and the trade-offs between fairness and visual quality.
View publications03 / PUBLICATIONS
Work and contributions on irony detection, evaluation and fairness in generative models, including my master's research.
View Google Scholar profileMaster's thesis · 2026
Paper · 2025
Conference paper · 2025
Conference paper · 2014
Conference paper · 2013
04 / EXPERIENCE
Working on generative AI solutions, RAG, guardrails, PDF optimization, image generation and FastAPI services. I led and contributed to applied research that evolved into product development, continuing the work as Tech Lead. Recipient of the HP Innovator Award.
Operated AdTech machine learning models for traffic shaping, RTB flooring, viewability and revenue forecasting.
Data pipelines, metrics and forecasting at scale. A post-processing improvement increased weekly revenue by BRL 3.5M across more than 200,000 time series.
IT risk audits, including SOX, for KPMG clients such as BRF, Banrisul, Nubank and AGCO. I led the Brazilian audit-process automation team, developing Python scripts for tests and analyses. The productivity gain was measured in time: these activities took approximately 85% less time compared with manual execution.
Python and C++ development for an autonomous drone landing and charging station in Jerusalem. Implemented door control, charging status and temperature control, collaborating with Highlander engineers to integrate their drones with the station.
HUMAN FIRST. ALWAYS.05 / ABOUT
My data experience spans roles as a data analyst, data scientist and machine learning engineer, alongside hands-on work in data engineering and DevOps. At HP, my formal role is ML Engineer Specialist — GenAI and I serve as Tech Lead in AI Engineering. I contribute to applied research and lead solutions from experimentation into product development, connecting technical depth, communication and delivery.
06 / CONTACT
Open to conversations about AI engineering, agents, GenAI, applied research, speaking and collaboration.