Daniel Svonava

Superlinked

superlinked.com makes it easier to turn data into vector embeddings

Co-Founder & CEO

creable.io

creable.com is the world's biggest influencer database (300M creators)

Advisory Board Member

Tater Games

tatergames.com is a data-driven game studio

Board Member

Primeflow

primeflow.com built tools for super-connectors and their network-driven business

Founder & CTO

Google

2016 - 2018
Tech-lead for YouTube Reservation Ads forecasting (Can a reservation be booked or not?) and pricing (How much should we charge for it?).

2015
Tech-lead for YouTube Video Ads traffic prediction and cross-Google Ads reach prediction, enabling ad buying in Adwords and DBM.
Focus on making Google Ads useful for Brand advertisers.

2013 - 2014
Within YouTube monetization I'm constantly switching between being an analyst who organizes and makes sense of data, builds prototype visualizations and spreads around the insights to help decision making and product design and being an engineer who uses these insights to build useful production systems.

Senior Software Engineer

47pixels

We were a software startup in the Story-telling space. Major products:
47posters - B2B SaaS for Print Service Providers launched in 7 countries
memoarc - B2C storytelling photogallery
dofsome - B2C minimalistic, high-quality photo hosting.
Reach out to me for a complete portfolio.

Co-Founder

Exploratory large-scale information mining from unstructured data. Patent granted.

Software Engineering Intern

IBM Research

Joined the Information analytics group within the Mathematics and Computer Science department again to continue my work on matrix reordering and co-clustering remotely via IBM SK.

Research Internship

Joined the Information analytics group within the Mathematics and Computer Science department. Co-authored a research paper involving graph theory, clustering and visualization. Worked on a web-based marketing intelligence tool employing data-mining techniques and back-end infrastructure optimization.

"Great Minds" Research Internship

Slovak University of Technology

The course is called Development of effective algorithms and programs. I prepared problem statements and solutions for assignments and competitions. I also set problems for ProFIIT, national programming competition for High school students.

Teaching assistant

Vector Compute @ Superlinked | xYouTube

➡️ Building a compute framework for turning data into vector embeddings.
🤗 Connect your data infrastructure to your vector database with Superlinked.

Join our product preview:
📋 Try it out in a Python notebook with no dependencies.
↗️ Design the perfect vectors for your retrieval use-case.
🔧 Mix and match streaming, batch, structured and unstructured data.
🚀 Launch to production with your favorite Vector Database.

➡️ Let's sort out information retrieval across your organization!
.
.
.
.
Previous:

Daniel is a Senior Software Engineer at Google, where he tech-leads, designs and builds forecasting & pricing systems for ads worth billions of dollars. These are distributed systems that run on thousands of machines, process terabytes of data per query and combine Machine Learning modeling with game-like simulation of tens of thousands ad campaigns - all happening in real-time to enable thousands of concurrent users of buying tools like AdWords and DBM.

Daniel wields a rare combination of deep technical skills, a user-centric drive and an ability to align multiple teams towards a common goal - launching and landing high quality cutting edge products.

Daniel co-founded a tech startup that brought machine vision to the consumer photo space 10 years ago, he was an invited speaker at an ML dev conference in Zurich and speaks at startup events regularly. He holds multiple patents with Google, is published in a peer-reviewed ML journal from his time at IBM Research and is a Google Code Jam on-site finalist.

On weekends he flies, climbs, skis and bikes in the Alps, see: http://instagram.com/mountain.supo

Pertamina zona 9/10

Senior Petroleum Engineer/Data Scientist/Machine Learning Engineer

Omdena Cologne Chapter

- Extracted texts from web using web scraping, performed EDA, and cleaned text data.
- Trained and tested LLM models to identify the best option for bias detection in climate reports.
- Fine-tuned and evaluated the trained model to ensure high performance, and delivered the finalized 
   model to the production pipeline for deployment, resulting in significant improvements in bias detection 
   accuracy in climate reports.

Machine Learning Engineer

Omdena Singapore Chapter AI Wellness

- Collected and annotated data for computer vision models, tested computer visions algorithms including 
   Mediapipe Blazepose and Yolov7, to develop anAI-assisted exercise application.
- Evaluated the performance of the models by detecting and rating the accuracy of numerous exercises.
- Deployed the model with user-friendly and interactive access using Streamlit for an optimal user 
   experience.

Omdena Aswan Chapter

- Collected data from various sources, performed cleaning and exploratory data analysis (EDA) to 
   prepare data formodeling.
- Conducted testing on LLM and ML models to identify the best option for the project.
- Delivered the fi nalized model to the production pipeline for deployment, resulting in a signifi cant 
   improvement in hatespeech detection accuracy

VICO Indonesia

• Produced both analytical and numerical production models
• Harmonized reservoir simulation and physics-based models with real production data

Petroleum Engineer

Experienced data scientist with 5 years of expertise in leveraging machine learning to optimize upstream oil and gasoperations. Skilled in data extraction, feature engineering, and profi cient in end-to-end machine learning projects, includingmodel training and deployment. Extensive experience collaborating with Omdena on various machine learning projects.

taplio

The Battle

Daniel Svonava

Rian Rachmanto

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?