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Di Vien

@advien

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Applied AI/ML Engineer building production-grade ML and LLM systems with eval, observability, and auditability.

Serbia

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What I'm looking for

I'm looking to build end-to-end production ML and LLM systems in teams that value quality and auditability — designing models/prompts and workflows, shipping eval pipelines and observability, and driving non-technical adoption in real regulated environments.

I’m an Applied AI Engineer focused on production-grade LLM systems that real users depend on every day. I’ve shipped AI products across regulated environments, where quality and auditability are non-negotiable, including a financial assistant with banking-grade privacy architecture and a content generation system cutting production time by 95%.

I work end-to-end at the intersection of product thinking and technical implementation—from workflow design and prompt architecture to eval pipelines, observability, and non-technical user adoption. I build agentic pipelines with guardrails and hallucination mitigation, using coding agents (Claude Code, Cursor) as a core engineering practice.

Experience

Work history, roles, and key accomplishments

Applied AI Engineer

EWA Learn Languages

Oct 2025 - Jun 2026 (8 months)

Owned and rebuilt an AI-first unit generation system using an agentic pipeline for non-technical educators, reducing production time from 2 weeks to 2 hours per unit. Led prompt architecture, HITL media regeneration, multilingual exercise prompt localization, and prompt/cost optimizations for the shipped AI Lessons product.

LLM Application Development MCP Prompt Engineering Human In The Loop Workflows Media Regeneration Pipelines Automated QA AI Evaluation OpenAI Prefix Caching Cost Optimization

AI & ML Engineer

Rocket Tech

Jan 2025 - Oct 2025 (9 months)

Led end-to-end delivery of a regulated fintech core AI system (self-hosted moderation and intent classification models, async queues, and LLM synthesis) and shipped a production financial assistant used by 20,000 MAU. Improved intent classification performance, built privacy-safe architecture for auditability, and deployed monitoring for the ML/AI system.

LLM Synthesis Moderation Python fastAPI Docker PostgreSQL AWS S3 Transformer Classifiers PyTorch Selective Layer Freezing Banking Grade Auditability Prometheus Grafana

Junior Data Scientist

Agro.Club

Feb 2023 - Oct 2023 (8 months)

Built an ML model to predict farmer selling probability to help prioritize sales funnel activity. Maintained operational dashboards and supported analytics team knowledge-sharing through documentation and seminars.

Machine Learning predictive modeling Dashboards Documentation

Intern Data Scientist

Agro.Club

May 2022 - Jan 2023 (8 months)

Built Airflow DAGs for Yandex Metrica and AppMetrica data pipelines and created dashboards and SQL views. Delivered an Airflow seminar to the analytics team and supported analytics data engineering workflows.

Airflow Data Engineering Yandex Metrica AppMetrica Dashboards