Ivo Stranic
Head Of Engineering at Alka Intelligence
Dallas, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolIvo Stranic is a Head of Engineering and AI leader with nine years of experience building production-grade AI systems that connect multimodal enterprise data to LLMs and automate complex design tasks. He progressed from physics-based systems modeling at Tesla to leading teams that create neural networks for analog circuit design, document parsers, and agents used across manufacturing, sales, and healthcare. At Activeloop he scaled a data lake product for generative AI, growing and managing a 14-person engineering and ML team and shipping integrations for enterprise MLOps. His hands-on background spans back-end development and DevOps—contributing logging and feature-reporting improvements to the widely used DeepLake repo—alongside product strategy and architecture. He holds a PhD from Stanford and combines first-principles scientific thinking with pragmatic engineering to de-risk ambitious AI projects. Colleagues describe him as someone who bets boldly on transformative tech while grounding decisions in measurable outcomes.
9 years of coding experience
16 years of employment as a software developer
UWCSEASelf-Driving Car Nanodegree - 1st of 3 Terms, Computer Software Engineering, Self-Driving Car Nanodegree - 1st of 3 Terms, Computer Software Engineering at UdacityBS, Mechanical and Aerospace Engineering, BS, Mechanical and Aerospace Engineering at Cornell UniversityDoctor of Philosophy (PhD), Mechanical Engineering, Doctor of Philosophy (PhD), Mechanical Engineering at Stanford University
Croatian
Stackoverflow
11reputation
432reached
1answer
0questions
Github Skills (9)
logging10
refactoring10
python10
reporting-services10
refactor10
activeloop6
openai-api6
deeplake6
langchain6
Programming languages (7)
Github contributions (5)
activeloopai/deeplake
Apr 2021 - Jan 2023
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:1 release, 163 reviews, 103 commits in 1 year 9 months
Contributions summary:Ivo's commits primarily focused on enhancing the project's reporting features within the `hub/core/dataset.py` and `hub/api/dataset.py` files, indicating a focus on improving data reporting and logging. They added logging and feature reporting capabilities, which helps for monitoring. They also implemented the "bugout_reporter" for reporting and tracking the project's features. Further the commits include formatting changes and code refactoring across multiple modules.
pythonreal-time-datadata-streamjupyter-notebookvisualize
activeloopai/examples
Sep 2021 - Dec 2022
Examples for quickly getting started using Deep Lake! https://activeloop.ai/
Contributions:1 review, 62 commits, 7 PRs in 1 year 2 months
lakepythondeep-learningmachine-learningtensorflow
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