Tin Franovic
Principal Engineer at Precedent
- Role
- Principal Engineer at Precedent
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Tin Franovic
There are only two hard things in computer science: cache invalidation, naming things, and off-by-one errors.\"An accomplished engineering leader with extensive expertise in machine learning and building highly scalable ML systems, backed by over a decade of tenure at esteemed tech companies like Amazon.Renowned for meticulous attention to detail and adeptness in influencing peers and leaders, I am recognized as a force multiplier, fostering cross-functional collaboration to deliver customer value. Demonstrated success in shaping long-term engineering vision at the organizational level and aligning it with broader architectural strategies within the company. Committed to engineering excellence, I am dedicated to elevating standards across all facets of the software development process, including adoption and implementation of best practices at the organizational level.
Experience
Principal Engineer
Jun 2024 — Present
Education
KTH Royal Institute of Technology
Master of Science (M.Sc.), Computational Biology
2012 — 2013
Aalto University
Master of Science, Computational and Systems Biology
2011 — 2012
University of Zagreb, Faculty of Electrical Engineering and Computing
Master of Science, Computer Science
2010 — 2013
University of Zagreb, Faculty of Electrical Engineering and Computing
Bachelor of Science, Computer Science
2007 — 2010
KTH Royal Institute of Technology
Master of Science, Computer Science
2010 — 2010
Skills
- Data Mining
- Sql
- Bioinformatics
- Html
- C
- Programming
- Artificial Intelligence
- Php
- Natural Language Processing
- Java
- Text Classification
- Software Development
- Hidden Markov Models
- Python
- Latex
- Machine Learning
- Matlab
- High Performance Computing
- Machine Translation
- Mathematical Modeling
- Statistical Machine Translation
- Computational Biology
- Computer Science
- Evolutionary Computation
- Text Mining
- Localization
- Perl
- Object Oriented Design
- Computational Neuroscience
- Parallel Programming
- Systems Biology
- C++
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