Daniel Svonava

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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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

Co-Founder & CEO

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

Xiaoze Jin

Lead AI/ML Solution Architect

Tech co

Prompt engineering/ICL/zero-short few-short
RAG
Agent
Pre-train/fine tuning/alignment
Lakehouse/open tables
PyTorch/Hugging Face
Databases, vector and graph 
Embedding
Search/ranking
Information retrieval
Transformer and alternatives
Diffuser and alternatives
Multi-modal
LLM and KG
DataOps/MLOps/LLMOps/FMOps/AgentOps
Platform Engineering

Data->Gen AI->Agentic AI->Humanoid Robotics->AI Scientist And Engineer->Space AI->FSD->…->AGI?

Multi-modal Data, Gen AI, Agentic AI and Physical AI Science Engineering

Principal AI/ML Architect (director level)

All things about AI/ML
NLP/CV/ASR/TTS
Generative AI/LLM/FM
LLMOps/FMOps
Prompt Engineering
Multi-modal
Transformer
Stable Diffusion

Princpal AI/ML Architect (director level)

- data science and engineering
- (AI/ML, DataOps, DevOps, MLOps, Platform Engineering, Product Engineering)
- IOT hardware/firmware/software 
- cloud native dev/app 
- data-intensive dev/app
- multi-cloud, AWS/GCP/Azure/private cloud/hybrid infrastructure, Databricks, Snowflake

Engineering and Solutions Architect

Data scientist
Data engineer
Machine Learning ML engineer
Product/marketing/sales
Conference speaker
Recruiting/team building/developing

Tech Co.

Practice big data, DataOps, data science, MLOps:
Develop cloud native AI product:
financial services(banking, insurance, fintech)
life science(health care, pharmacy, MDM, medtech)
retail(e-commerce, automation)
industrial 4.0 IOT
manufacturing 4.0 IOT
new energy(utility, power/water)

AI Product Manager

TPM Data and AI Engineering

“Our thoughts, ideas and beliefs are physical. They create our reality.” - Will Smith
“Motivation is what gets you started. Habit is what keeps you going.” - Jim Ryun
“Everything you can imagine is real”  - Pablo Picasso
“Your character is essentially the sum of your habits; it is how you habitually act.” - Rick Warren

Husband/Father
Speaker/Facilitator/Investor/Entrepreneur

Goal: 
To be a visionary and resolute leader
To be a thought leader on new economy/society/environment focused sustainable system

Passion:
To promote D&I
- the new concept of diversity and inclusion “D&I” from NeuroLeadership Institue(NLI)

Mission:
Business person by molding

Data scientist guy to implement digital transformation for data-driven decision making framework
Love technology, think out of box, innovate relentlessly to search/test/refine new process/new solution to drive business value and sustainable growth
AI/ML Leadership
             Data Engineer
             Data Scientist
             Artificial Intelligence AI Scientist
             Machine Learning ML Engineer

             NLP/CV/ASR/TTS
             Generative AI/LLM/FM
             Prompting/RAG/Agentic AI/Physical AI
             LLMOps/FMOps/AgentOps
             Pre-train/fine-tuning/alignment
             Continual learning
             Human in the loop
             Data/model Flywheel
             Prompt Engineering
             Multi-modal
             Transformer
             Stable Diffusion
Platform Engineering Leadership
             DevOps Engineer
             Site Reliability Engineer
             System Engineer
             Software Engineer for data-intensive applications
Product Engineering Leadership
             Agile/Scrum Product Owner/Product Manager/Product Director
Designer/Builder/Coder/Producer

Lakehouse/open tables
PyTorch/Hugging Face
Databases, vector and graph 
Embedding
Search/ranking
Information retrieval
Transformer and alternatives
Diffuser and alternatives
Multi-modal
LLM and KG
DataOps/MLOps/LLMOps/FMOps
Platform Engineering

taplio

The Battle

Daniel Svonava

Xiaoze Jin

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