David Krajewski
Incoming Applied AI Research Intern at SketchPro.ai- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
English Native or bilingual proficiency
-
Spanish Native or bilingual proficiency
-
Chinese Limited working proficiency
Topline Score
Bio
0
/5.0 / Based on 0 ratingsFilter reviews by:
Credentials
-
Modern C++ Concurrency: Get the most out of any machine
Educative, Inc.Jul, 2023- Sep, 2024 -
Deep Learning Nanodegree
UdacityMay, 2020- Sep, 2024
Experience
-
SketchPro.ai
-
Software Development
-
1 - 100 Employee
-
Incoming Applied AI Research Intern
-
Oct 2023 - Present
-
-
-
Niantic, Inc.
-
United States
-
Software Development
-
700 & Above Employee
-
Software Engineer Intern
-
May 2023 - Aug 2023
Helped launch Campfire (social app), pushing consumer-facing features to approximately 4 million daily active users. Implemented LLM-based tool for automatic large-scale data population and user automation across multiple environments Developed memory optimization techniques for Redis caching, saving terabytes of cached data. Helped launch Campfire (social app), pushing consumer-facing features to approximately 4 million daily active users. Implemented LLM-based tool for automatic large-scale data population and user automation across multiple environments Developed memory optimization techniques for Redis caching, saving terabytes of cached data.
-
-
-
Amazon Web Services (AWS)
-
United States
-
IT Services and IT Consulting
-
700 & Above Employee
-
Software Engineer
-
May 2022 - Aug 2022
Worked under the Amazon Forecast team, focusing on Machine Learning based time series forecasting. Built an automation platform to optimize on-call engineers’ routine product maintenance using React.js and Python Worked under the Amazon Forecast team, focusing on Machine Learning based time series forecasting. Built an automation platform to optimize on-call engineers’ routine product maintenance using React.js and Python
-
-
-
Ternary Developments
-
United States
-
Software Development
-
1 - 100 Employee
-
Software Engineer
-
Mar 2021 - Oct 2021
Developed and maintained new features for membership management dashboard for administrators and users. Led development on the OptionsFlow platform, processing over 1.5 million stock options in real-time to give thousands of users live data on market movement. Developed and maintained new features for membership management dashboard for administrators and users. Led development on the OptionsFlow platform, processing over 1.5 million stock options in real-time to give thousands of users live data on market movement.
-
-
-
Swiped Solutions LLC
-
Computer Networking Products
-
Founder / CEO
-
Jun 2018 - Jan 2021
Provide a quick and convenient mobile solution for automating the process of checking out on high traffic websites. Work using the Swift programming language on both implementing the front end and the back end of the iOS application, using innovative networking techniques to provide seamless transitions between HTTPS requests and browser views. Create and implement an analytics system for tracking user traffic from within the application and sending that to a custom built rest API. Provide a quick and convenient mobile solution for automating the process of checking out on high traffic websites. Work using the Swift programming language on both implementing the front end and the back end of the iOS application, using innovative networking techniques to provide seamless transitions between HTTPS requests and browser views. Create and implement an analytics system for tracking user traffic from within the application and sending that to a custom built rest API.
-
-
-
University of Florida
-
United States
-
Higher Education
-
700 & Above Employee
-
Machine Learning Researcher
-
Jun 2020 - Sep 2020
Used LSTM networks to predict occupancy rates, average daily rates, and overall demand for hotels in the U.S and China. Prioritized predictions during times of crisis (such as the Covid-19 pandemic). Published and presented at the Annual Graduate Education and Graduate Student Research Conference in Hospitality and Tourism. Worked under supervision from Ph.D. student and assistant professor Tianyu Pan. Used LSTM networks to predict occupancy rates, average daily rates, and overall demand for hotels in the U.S and China. Prioritized predictions during times of crisis (such as the Covid-19 pandemic). Published and presented at the Annual Graduate Education and Graduate Student Research Conference in Hospitality and Tourism. Worked under supervision from Ph.D. student and assistant professor Tianyu Pan.
-
-
-
Self-Employed
-
Real Estate
-
1 - 100 Employee
-
Freelance Software Developer
-
Jun 2018 - Jun 2020
Provide clients with end to end development for their requested project. Work with making rest APIs using Node.js, websites with React.js, and mobile apps using React Native. Worked on a variety of solutions specifically tailored to the client's needs. Provide clients with end to end development for their requested project. Work with making rest APIs using Node.js, websites with React.js, and mobile apps using React Native. Worked on a variety of solutions specifically tailored to the client's needs.
-
-
-
University of Miami, Miller School of Medicine
-
United States
-
Higher Education
-
700 & Above Employee
-
(Cancelled) Computational Science Researcher
-
2020 - 2020
J.J Vance Internship using Computational Science in the field of Human Genomics. Offer withdrawn due to the Coronavirus pandemic. J.J Vance Internship using Computational Science in the field of Human Genomics. Offer withdrawn due to the Coronavirus pandemic.
-
-
-
Zaniac
-
Education Management
-
1 - 100 Employee
-
Instructor
-
Jun 2019 - Aug 2019
Part-time Summer instructor teaching elementary and middle school students the fundamentals of robotics, computer science, and math. Part-time Summer instructor teaching elementary and middle school students the fundamentals of robotics, computer science, and math.
-
-
-
AHT Global
-
United States
-
Design
-
1 - 100 Employee
-
Engineering Intern
-
Jun 2018 - Aug 2018
Worked on consumer sound, network, and home theater equipment designing and fabrication team. Worked on consumer sound, network, and home theater equipment designing and fabrication team.
-
-
Education
-
Carnegie Mellon University School of Computer Science
Bachelor of Science - BS, Computer Science -
Gulliver Preparatory School
High School Diploma -
University of Miami
Dual Enrollment, 12th