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Neža Bizjak

@neabizjak

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I build large-scale data pipelines, distributed systems, and LLM-powered automation.

Slovenia

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What I'm looking for

I'm looking to build reliable, high-impact data and distributed systems, especially where LLMs can automate workflows and improve product outcomes. I value practical collaboration with customers, QA, sales, and domain experts.

I've built large-scale data pipelines and distributed systems for PredictLeads, MissionBio, Digiverse, and open-source projects. At PredictLeads, I improved job openings data quality, resolved roughly 50% of identified duplicates across millions of records, and integrated LLM APIs for reporting and automation.

I also co-founded and built Parcelar, making Slovenian cadastral data searchable through a unified web and map interface. My work spans Python, Java, C++, Ruby on Rails, AWS, Kafka, RabbitMQ, web scraping, and productionizing research code.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

PredictLeads

Nov 2022 - Jun 2026 (3 years 7 months)

Worked on a large-scale job openings data pipeline, implementing deduplication logic across millions of records and improving recall and precision. Integrated LLM APIs for report generation and automation, and collaborated with customers, QA, and Sales teams.

Python Ruby on Rails RabbitMQ Web Scraping LLM APIs Data Pipelines Deduplication Data Quality Automation

Senior Software Engineer

MissionBio

Jul 2021 - Oct 2022 (1 year 3 months)

Worked on the Tapestri bioinformatics platform, refactoring legacy research code into maintainable and testable code. Introduced automated tests, improved system reliability and performance, and collaborated with bioinformatics scientists.

Python AWS Bioinformatics Refactoring Testing Automation Performance Optimization

Software Engineer

Digiverse

Feb 2017 - Jul 2021 (4 years 5 months)

Worked on backend and distributed systems across two long-term projects: a microservices-based betting system and a Bitcoin SV blockchain node. Contributed to open-source development and performance-sensitive code.