Python
SQL
Linux
TypeScript
Java
Machine Learning
Backend dev.
DevOps
Frontend
It’s the ultimate in audience understanding, put into action. Drawing on a deep understanding of human psychology, amplified by AI, we change the game for companies who want to resonate fully with people.
What I worked with:
+ Python
+ Approximate nearest neighbor algorithms (FAISS, HNSW)
+ Data Science (numpy, pandas)
+ Machine Learning (PyTorch, sklearn, TF)
+ PostgreSQL
+ Docker, AWS
What I worked on:
+ Scaling and design of vector-based storage systems for neural search tasks
+ Research, comparison, and benchmarking of neural search / ANN algorithms
+ Implementing real-life neural search systems for business partners
+ Automated deployment of modular subsystems on our open marketplace, Jina Hub
+ Guiding and maintaining best practices across array of neural search modules
+ Interacting and teaching community, via open source channels and workshops
What I worked with
+ Python
+ Rasa
+ NLP
+ PostgreSQL
+ Machine Learning
+ Docker
+ ElasticBeanstalk
What I worked on
+ Automated qualification process of prospective renters, using a conversational AI agent;
+ Quantified business achievements, by extracting and analyzing data from chatbot conversations with users;
+ Optimized chatbot understanding of human text, by analyzing and annotating dataset of conversations;
+ Implementation of business logic in backend;
+ Improved collaboration processes for technology team, to enhance cross-team knowledge sharing;
+ Scaling of business infrastructure with AWS Elastic Beanstalk and Docker;
What I worked with
+ Python
+ Keras/Tensorflow
+ C++
+ Arduino
+ Max for Live
+ synthesizers
What I worked on
+ enhanced art projects with Machine Learning, in music and visuals.
+ oversaw software side of artist’s projects (requirements gathering, research, implementation, debugging)
+ built novelty musical instrument to be used in art performances
+ Teaching Assistant for "Scientific Programming” master’s level course, an introduction to programming in Python, with a focus on data science and machine learning.
+ Guided exercise sessions for students
+ Offered guidance and explanations of concepts
+ Graded student assignments.
+ Learned that “you do not really understand something unless you can explain it to first semester ML students.”
Course description: https://kurser.ku.dk/course/HIOK0002EU
What I worked with
+ Python
+ Angular
+ TypeScript
+ Jenkins
+ Linux
+ Windows Server
What I worked on
+ enhanced the build and deployment tools for the Continuous Integration system, using Python and Jenkins.
+ developed new features and functionality across our modern web client, frontend (Angular, Typescript) and backend (Java)
+ maintenance and configuration of servers (Linux, Windows, RHEL, Solaris).
+ debugged errors related to installation and configuration, in close collaboration with developers.
+ automated testing flow for developers, with framework for GUI tests
+ Obtained a wide range of knowledge across multiple topics related to ML: Data Science, Cognitive Science, NLP, Computer Vision.
+ Developed multiple non-trivial ML, DS, DL projects, in groups and individually.
+ Implemented ML algorithms from scratch, using only linear algebra libraries (Numpy).
+ Mastered theoretical foundations in Machine Learning.
+ Delivered master thesis in symbolic music generation using recurrent networks (top grade)
+ Acquired knowledge and practical skills in a wide range of topics related to Web Development and IT: Networking, Backend development, Security, and Relational Databases.
+ Developed projects using many tools and languages: Python, C#, PHP, Javascript, Go, SQL. This has made me able to learn and get acquainted fairly easily to any new languages or tools.