Engineering Manager / Technical Program Manager / Head of Office
Stack: Engineering management, Technical Program Management.
AI: data science / signal processing / machine learning / NLP
Hands-on (PoC’s, code reviews, not a production level): Python (general); Python (data science, signal processing, machine learning, NLP), Numpy, SciPy, scikit-learn, matplotlib, Pandas, NLTK, etc.; Node.js; MATLAB.
Helping the teams on general architecture, problem solving level:
Architecture: microservices, layered, event-driven
Data streaming pipelines
Apache Spark, Flink
Domains: Voice/Natural Language Processing; Subscription and Billing systems; CAD/CAM, distributed data warehouses for PCB manufacturing ; Complex web applications and CMSs for consumer and enterprise.
Substituted "just-pick-what-we-can" backlog handling with a projectized OKR-driven process. The teams can now balance external demand with technical debt confidently pursuing multiple goals. They were reaching 80%+ OKR completion rate consistently during recent months.
Integrated previously siloed development team of 12 in Ukraine with Scrum teams in the U.S. and Europe. Almost everybody started to communicate across the ocean regularly and increased productivity.
Persuaded a big international customer to move a program of 32 engineers to another city with a lower workforce cost to meet their new financial goal. Handled complex logistics, particularly, an exam collocating 30 developers requested by the customer at a third location. Negotiated the change successfully.
Volunteered and created a question-answering machine for company policies. The main requirement was that this system should not have a need of training by subject matter experts with 80%+ accuracy. Programmed a PoC in Node.js and Python.
Ideated and designing currently a solution for finding on-street vacant parking using probabilistic and other ML methods. It excels top solutions and can quickly and cost-effectively achieve global coverage. Organized a team that developed a PoC with 1000+ active Google Play users at the moment. Designing personally a probabilistic algorithm (a PoC) and full-fledged model using Figaro language
Devised a solution for selling goods and services by matching NLP-parsed requests sent via IMs with ontological descriptions of such. Gathered a team of students, helped them defend 4 BSc, MSc theses.
Created a concept of parsing IM messages to discover intent of buying product or services using Stanford Malt (dependency) parser, and a PoC. It’s somewhat similar to wit.ai
Designed the overall system architecture to match the parsed descriptions with ontological descriptions of products and services in GoodRelations format
Created an Apache Solr-based storage of product and service descriptions, and matching them with IM-parsed data using Siren Solutions’s twig queries
Role: 1) Engineering Manager 2) Technical Program Manager 3) Head of Office in a startup.
Company: 1) A mature international product company/startup 2) An investor-backed startup, 15+ people to help it grow and come to the next funding round
The EU: Lithuania, Latvia, the Netherlands, Germany, Sweden
The U.S.: Boston area, Seattle
Salary expectations: $5.9K - 6.5K (gross), In case of stock/fantom options trade-offs are possible.
Рекомендуем за бонус - 50% от ЗП кандидата за 1 месяц. Половина суммы при выходе кандидата, половина при прохождении ИС.
Пишите, пожалуйста, в telegram @Iryna_Bolobanova