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

SNG Studios

Data Engineering / Science work for Mobile Games

Senior Data Scientist

N-Path Games

I work on game data analytics to better understand and improve the game play, user journey, and engagement of players.

My work includes specifying the data to be collected, analysis of the data and interpreting insights to stakeholders, and continuously improving data science capabilities and workflow of the organization.

Argilla

Worked on the vector search feature of Argilla annotation platform.

Senior Machine Learning Engineer

Unscrambl, Inc

Led the Natural Language Processing team to enhance Conversational User Experience, Natural Language Processing capabilities and Dialog Management.

Lead Data Scientist

Researched, developed and maintained production level code by using existing libraries and exploring new ones. Implemented modules on top of the available tech stack.

Initiated the Conversational AI efforts, improved and maintained the Natural Language Understanding part interactively with Dialog management.

Research, propose, try, implement and improve cycle gave me chance to touch available open source Natural Language Understanding, Chatbot Development libraries and also I interacted with commercial level Chatbot Development frameworks to grasp the know-how and best practices

SpaCy, SNIPS, Microsoft-Recognizers, DeepPavlov, LUIS, wit.ai are some of the technologies that I used in production or made some prototypes.

Data Scientist

VeriUs Technology

Enhanced the NLP services' performance and accuracy, deployed Rest APIs.

Improved my understanding of professional software development life cycle and gained insight and experience about various common NLP challenges and unique solutions.

Worked on text classification, text summarization, topic modelling, information extraction and text processing for Turkish, Arabic and English natural languages.

Talentra

Worked on Information extraction from Resumes and Job Descriptions.

Implemented a Rest API which receives a Job Description or Resume as input and outputs structured extracted information.

Handled various document formats with rich layout information and diversity, typos, personal naming conventions for various information blocks.

IDscan Biometrics Ltd

Worked on Information Extraction from noisy text output. After a fast survey, I come up with
a deep learning architecture.

Implemented, enhanced and tried the model for English, German and Japanese languages.

Supporting a new language required a careful retrain and some hyper parameter optimization. When compared to other approaches this was a reasonable and efficient approach. The experiments shown that the models work well in clean text and provide promising results for noisy corrupted text.

Artificial Intelligence Engineer

Ege University

Worked for Turkey Research Council Project on Paraphrase Corpus Development and Automatic Paraphrase Detection as Graduate Research student.

Implemented scripts for text processing, data collection, annotation guideline creation, annotator agreement scoring module and a REST API consumer package for Turkish Language Processing Web Service.

Natural Language Processing Engineer

I am a hardworking and passionate AI Research Engineer / Scientist with 8+ years industrial and 2+ years academic research experience.

taplio

The Battle

Daniel Svonava

Ufuk Hürriyetoğlu

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