💡Lukas Tencer

💡Lukas Tencer Email and Phone Number

Engineer and CTO @ Reinforce Labs
California, United States
💡Lukas Tencer's Location
San Francisco Bay Area, United States, United States
💡Lukas Tencer's Contact Details

💡Lukas Tencer work email

💡Lukas Tencer personal email

💡Lukas Tencer phone numbers

About 💡Lukas Tencer

I love helping people. I care deeply about everyone on my teams, having learned from exceptional leaders who masterfully balance personal connections with results-driven culture. I found my true calling in this leadership style, and nothing brings me more joy than seeing my team members achieve their goals.I consistently build teams around transformative ideas that enhance products and create user value. Staying at the forefront of scientific advancement, I'm always eager to explore innovative approaches. My naturally positive attitude and enthusiasm help foster an environment where creativity and collaboration thrive. Building meaningful relationships and caring deeply about people are fundamental to my leadership philosophy."If you want to build a ship, don't drum up people to collect wood and don't assign them tasks and work, but rather teach them to long for the endless immensity of the sea."18 years of engineering, machine learning, and leadership experience.On a mission to build a culture where science drives impact and innovation.Areas of expertise: Machine Learning, Empathy, Leadership, Caring Deeply, Deep Learning, Product Vision, Computer Vision

💡Lukas Tencer's Current Company Details
Reinforce Labs

Reinforce Labs

View
Engineer and CTO
California, United States
Website:
google.com
Employees:
5
Company phone:
916.253.7820
💡Lukas Tencer Work Experience Details
  • Reinforce Labs
    Engineer And Cto
    Reinforce Labs
    California, United States
  • Google
    Director Of Engineering, Ads Safety Ai / Ml
    Google Oct 2022 - Present
    Mountain View, Ca, Us
    Making the internet a safer and more inclusive place for everyone, one ad at a time.
  • Twitch
    Director Of Applied Science, Machine Learning
    Twitch Mar 2020 - Oct 2022
    San Francisco, California, Us
    I had an incredible experience building the ML organization within the Community organization. This encompassed both Applied Science and ML Engineering. Within 16 months, we launched 13 ML products and 7 infrastructure projects. This success was only possible because of my amazing team. I believe in supporting talented people by providing what they need to grow, giving them ownership, and then stepping back while guiding them with the right questions.I also had the privilege of working with some of the finest leaders in my career. These experiences reinforced my belief in leading with empathy as the foundation for building teams. Creating meaningful connections and caring personally about team members became central to my approach. I learned invaluable lessons that I'm eager to pass on to the next generation of leaders on my teams.Previous Role: Senior Manager, Machine Learning
  • Amazon
    Director Of Applied Science, Machine Learning
    Amazon Mar 2020 - Sep 2022
    Seattle, Wa, Us
  • Niantic, Inc.
    Tech Lead Manager, Machine Learning
    Niantic, Inc. Mar 2019 - Mar 2020
    San Francisco, Ca, Us
    I led the Machine Learning Science team, which focused on several key challenges, including:- Game optimization- Anti-cheat detection- User behavior and retention modeling- Classification of user-generated content- Matchmaking systems
  • Pandora
    Senior Data Scientist, Tech Lead
    Pandora 2015 - 2019
    Oakland, Ca, Us
    - Led a team developing algorithms for personalized music sequencing- Implemented advanced machine learning algorithms, including Multi-Armed Bandits, in our internal ML library- Specialized in user behavior modeling, focusing on key challenges such as exploration/exploitation balance, cold-start learning, and performance optimization
  • Synchromedia Laboratory
    Researcher, Machine Learning And Computer Vision
    Synchromedia Laboratory Sep 2011 - Oct 2015
    Montreal, Quebec, Ca
    My research focused on Semi-Supervised Learning, leading to multiple publications in the field. I implemented a wide range of machine learning algorithms, including cutting-edge deep learning approaches. I developed several successful applications, including:- Gesture Recognition- Sketch-Based Image Retrieval- Signature Recognition SystemsThis work deepened my expertise in Computer Vision and Pattern Recognition algorithms.Key activities:- Implemented advanced techniques in machine learning, pattern recognition, and computer vision- Conducted ongoing research to stay current with state-of-the-art developments- Published in leading international conferences and journals (IEEE, Elsevier)- Developed solutions using Python, Java, MATLAB, and web technologies (JavaScript, HTML5, PHP)- Maintained high code quality standards with focus on readability and reusability
  • Imo.Im
    Machine Learning Intern
    Imo.Im Oct 2013 - Jan 2014
    I developed various Machine Learning systems to enhance the imo.im network, focusing on:- Built and deployed image and text classification systems- Implemented robust data pipelines for text and image feature extraction, cleaning, and preprocessing- Developed deep learning solutions using Convolutional Neural Networks in Theano- Successfully deployed and maintained ML systems in production infrastructure
  • Vis Gravis, S.R.O.
    Research Engineer
    Vis Gravis, S.R.O. May 2011 - Dec 2012
    Bratislava, Slovak Republic, Sk
    I conducted research and development in multi-touch display technology integrated with augmented reality, focusing on urban planning applications. Led the development of AR solutions for streamlining urban design and visualization.
  • Ibm
    Software Engineer
    Ibm May 2010 - May 2011
    Armonk, New York, Ny, Us
    I developed solutions across multiple IBM web platforms, including:- Created JavaScript Dojo components for IBM Domino platform- Built REST backend services using Java for IBM Connections- Designed and implemented front-end UI components for mobile Xpages technology
  • Chubli
    Programmer
    Chubli May 2010 - May 2011
    Nl
    Developed gameplay features in Unity3D engine for Flower Ninja:- Created core game concepts and design elements- Implemented game logic using JavaScript- Led development of Cactuking, an Android game for Google Play
  • Whitestein Technologies
    Software Quality Engineer
    Whitestein Technologies 2006 - 2008
    6330 Cham, Ch
    Performed Software Quality Assurance for wireless network management systems:- Conducted comprehensive network traffic analysis- Designed and executed test cases- Implemented both black box and white box testing methodologies

💡Lukas Tencer Skills

Machine Learning Java C++ Algorithms Python Software Engineering Computer Vision Pattern Recognition Javascript Data Science Matlab Programming Data Analysis New Product Ideas Image Processing Human Computer Interaction Web Development Leadership Data Mining Big Data Artificial Intelligence Agile Development Computer Graphics Computer Science Linux Information Retrieval Sql Statistics Data Visualization Data Structures Project Management Strategy Hadoop Management Organizational Skills Teamwork Time Management Public Speaking Reinforcement Learning Multi Armed Bandits Hive Neural Networks Deep Learning Scikit Learn Natural Language Processing Apache Spark Recommender Systems Semi Supervised Learning Oral Communication Cross Functional Team Leadership Theano Android R Opengl Opencv Mapreduce Pandas Team Leadership Predictive Analytics High Performance Computing

💡Lukas Tencer Education Details

  • École De Technologie Supérieure
    École De Technologie Supérieure
    Computer Science
  • Univerzita Komenského V Bratislave
    Univerzita Komenského V Bratislave
    Computer Graphics And Geometry
  • Univerzita Komenského V Bratislave
    Univerzita Komenského V Bratislave
    Computer Graphics And Geometry
  • Univerzita Komenského V Bratislave
    Univerzita Komenského V Bratislave
    Computer Science

Frequently Asked Questions about 💡Lukas Tencer

What company does 💡Lukas Tencer work for?

💡Lukas Tencer works for Reinforce Labs

What is 💡Lukas Tencer's role at the current company?

💡Lukas Tencer's current role is Engineer and CTO.

What is 💡Lukas Tencer's email address?

💡Lukas Tencer's email address is lu****@****ail.com

What is 💡Lukas Tencer's direct phone number?

💡Lukas Tencer's direct phone number is +151082*****

What schools did 💡Lukas Tencer attend?

💡Lukas Tencer attended École De Technologie Supérieure, Univerzita Komenského V Bratislave, Univerzita Komenského V Bratislave, Univerzita Komenského V Bratislave.

What are some of 💡Lukas Tencer's interests?

💡Lukas Tencer has interest in Mobile, Clean Technology, Education, Health Care, Science And Technology, Consumer Internet, Enterprise Software.

What skills is 💡Lukas Tencer known for?

💡Lukas Tencer has skills like Machine Learning, Java, C++, Algorithms, Python, Software Engineering, Computer Vision, Pattern Recognition, Javascript, Data Science, Matlab, Programming.

Who are 💡Lukas Tencer's colleagues?

💡Lukas Tencer's colleagues are Wei Fei, Bethany Taylor, Hasan Zirak, Jann H., Abdou Abdou, Mark Bread, Dylsn Jacobs.

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