Maksym Bevza
Verified Expert in Engineering
Algorithms Developer
Max has a Ph.D. and is a machine learning and NLP professional who excels with the back end, algorithms, and data structures. He has built numerous AI strategies for companies and implemented them with teams. His NLP experience includes GPT-3, PyTorch, Keras, and TensorFlow. Max has developed specialized products for Google, Facebook, and Grammarly. He enjoys devising reliable solutions to challenging NLP problems. Past roles have included Head of ML and Algorithms, CTO, CEO, and founder.
Portfolio
Experience
Availability
Preferred Environment
Ubuntu, Python, PyCharm, OS X
The most amazing...
...deep learning engine I've developed runs Grammarly's entire grammatical error correction function and replaced the old system.
Work Experience
Head of ML and Algorithms
Knowt
- Collaborated with the CEO to build and implement the algorithm strategy of the company.
- Built and entered into production many algorithm-heavy computations that involved NLP.
- Optimized the entire processing pipeline 5-7 times to bring near-real-time processing.
- Parallelized and distributed query processing to handle increased traffic.
- Introduced agile processes to the algorithm team.
CTO and Co-founder
WonderWay
- Developed an application that provides travel itineraries from bloggers and influencers (marketplace).
- Built the MVP and pushed it into production in less than two months with no prior knowledge of mobile development.
- Finished more than 40 customer interviews to detect and satisfy users' needs with the product.
CEO and Founder
Develiry
- Led the closure of seven deals for the development of machine learning solutions for SMEs and startups.
- Iterated and tested the hypothesis of the value proposition to the level of acquiring users from the site.
- Launched four developed MVPs to production that helped clients test their hypothesis of the technical feasibility and raise funding rounds.
COO and Co-founder
Shift AI
- Led the closure of seven deals for the development of machine learning solutions for SMEs and startups.
- Iterated and tested the hypothesis of the value proposition to the level of acquiring users from the site.
- Launched four developed MVPs to production that helped clients test their hypothesis of the technical feasibility and raise funding rounds.
Research Scientists
Grammarly
- Developed deep learning NLP systems that work on state-of-the-art levels for tasks Named entity recognition, error detection, and grammatical error correction using the Neural Machine Translation approach.
- Built research infrastructure and tooling for the research team of 15 people.
- Ensured successful delivery of the developed machine learning solutions to production.
Software Engineering Intern
- Implemented unsupervised machine learning over Chrome extensions to cluster them and help detect malware in the Chrome Web Store.
- Led cross-team communication to ensure the infrastructure team developed the necessary features based on the needs of our team.
- Ensured the successful roll-out of the newly designed algorithm to production.
Software Engineering Intern
- Developed the homepage dashboard, a place with charts containing key information for business managers such as total spend and total impressions for their ad account.
- Collaborated with product managers to iterate on the product and ensure critical features were included.
- Oversaw the roll-out of the new dashboard to production.
Software Engineering Intern
- Modified the MapReduce framework, which our infrastructural team provided to other teams at Google.
- Combined an arbitrary number of MapReduce into a single one improving the use of resources.
- Created reports and presentations with the results of the optimization work to ensure smooth roll-out to all current recurring jobs.
Software Engineering Intern
- Developed a reference implementation of the Google Cloud Print device.
- Implemented the end-to-end testing workflow for the newly developed device.
- Created the help box for the Google Cloud reference implementation device.
Experience
Neural Network 10x Speed Improvement Project
Education
Ph.D. in Computer Science
Taras Shevchenko National University of Kyiv - Kyiv, Ukraine
Master's Degree in Computer Science
Taras Shevchenko National University of Kyiv - Kyiv, Ukraine
Bachelor's Degree in Computer Science
Taras Shevchenko National University of Kyiv - Kyiv, Ukraine
Certifications
Spacecraft Dynamics and Control Specialization by Colorado Bolder
Coursera
Machine Learning by Stanford
Coursera
Cryptography by Stanford
Coursera
Skills
Libraries/APIs
SciPy, TensorFlow, PyTorch, SpaCy, NumPy, Pandas, React, D3.js, Stanford NLP, Node.js, CatBoost
Tools
PyCharm, Amazon SageMaker
Languages
Python, C++, JavaScript, HTML, CSS, PHP, SQL
Platforms
Ubuntu, Docker, Amazon Web Services (AWS), Heroku, OS X
Storage
MySQL, Amazon S3 (AWS S3), Amazon DynamoDB, PostgreSQL, NoSQL
Paradigms
MapReduce, DevOps, Parallel Programming
Frameworks
OAuth 2, Bootstrap, Flask, Spark, React Native, Next.js
Other
Software Development, Algorithms, Data Structures, Machine Learning, Software Engineering, Computer Science, Natural Language Processing (NLP), HTTP, Transformers, AllenNLP, Artificial Intelligence (AI), Deep Learning, GPT, Generative Pre-trained Transformers (GPT), Cython, Multicast DNS (mDNS), DNS Service Discovery (DNS-SD), XMPP, Technical Hiring, Sales, Sales Funnel, Computer Vision, Chatbots, Object Detection, 3D Pose Estimation, Search Engines, AWS DevOps, Cryptography, Kinematics, Kinetics, Controlling, Machine Translation, Neural Machine Translation, BERT
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