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!
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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

Prospect 33

Data Scientist

Omdena

Lead Machine Learning Engineer

Engaged in collaborative projects to solve real-world problems. 

General responsibilities included:
•	Researched and implemented appropriate ML algorithms and tools
•	Developed machine learning applications according to user requirements
•	Selected appropriate datasets and data representation methods
•	Ran  machine learning tests and experiments


Projects contributed to:

Normal - Using Machine learning to provide sustainability advice for small businesses
•	Collected data via web scraping 
•	Used NLP for information extraction to classify the content based on the following criteria:
                          •	Author/Authority: Reference, source, and domain authority
                          •	Subject: Keywords and language
                          •	Relevancy: Freshness of publication, and Impact/Sustainability relevancy.
                          •	Format: Mood, Technicality, and depth
 
Building AI-Powered Chatbot to Offer 24/7 Support Services For University Website
•	Collected data that students seek clarification from the school website in JSON Format. 
•	Prepared the collected information through Natural Language Preprocessing.
•	Created a Deep Learning Model that will help provide real-time responses to the inquiries of students.
•	Created a web dashboard that would be used for testing purposes before real applications. 
•	Deployment on the school website.

Improving the Quality of Life for seniors in Nursing Homes with IoT Monitoring System
•	Detected urinary incontinence in nursing homes by leveraging machine learning and digital sensor data
•	Developed a predictive model for distinguishing between the wet vs. dry state by examining digital sensor data from passive RFID moisture sensing tags logged via IoT onto the cloud
•	Visualization and monitoring of the diaper temperature data as well as the signal strength of the sensor with AI solution
•	ML experiment tracking and version control of data and models with MlFlow, DVC, and DAGsHub

Machine Learning Engineer

Africa Data School

Instructed and mentored entry-level and intermediate Data Scientists in training on how to use but not limited to Python-based Data Science and Machine Learning tools for Data Analysis, Modelling, Visualization, Machine Learning development, and deployment based on industry-standard techniques and practices. Class sessions were coordinated virtually through online teaching. Taught eight cohorts from start to completion.

Data Science Instructor

Qhala

Data Science Fellow

Hidden Legacy Solutions

Teamed up with friends from campus to create a pioneer self organizing group which later grew to become a company called Hidden Legacy Solutions.
 Took up an adhoc role as chief editor. This is a summary of my roles:

•	Reviewed and edited drafts of books and articles and provided commentary to support revision. 
•	Prepared material for publications such as books, and magazines
•	Corrected errors in spelling, punctuation, and syntax. 
•	Oversaw the production of publications. 
•	Checked copies for style and readability.

Editor

Jubilee Insurance

•	Identified prospective customers, lead generation, and conversion
•	Contacted new and existing customers to discuss needs
•	Emphasized the features of policies to highlight how they solved customer problems
•	Answered questions about the policies and offered advice regarding the same
•	Negotiated prices and terms and prepared sales agreements
•	Collaborated with colleagues in many different sectors 
•	Maintained contact lists and followed up with customers to continue the relationship

Sales Representative

County Department of ICT and E-government

•	Maintained the county offices data and hardware 
•	Formatted computers and installed software 
•	Printed monthly bills to clients
•	Printed payrolls using LAIFOMS(Local Authority Integrated Financial Operating Management System)
•	Implemented the online revenue collection system
•	Created and restored data backups
•	Performed frequent network troubleshooting and maintenance

taplio

The Battle

Daniel Svonava

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